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diff --git a/Documentation/User Manual Source/pto-behavior.xlsx b/Documentation/User Manual Source/pto-behavior.xlsx
index 6a232f9700117cf706280c41ae9e9a2ebac2ad6a..d324740e8339be9b6dd7c493f3e395a5ee0742b2 100644
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diff --git a/Documentation/User Manual/1-user-interface/0_start.md b/Documentation/User Manual/1-user-interface/0_start.md
index cf725f521e8e50f787efba842ba8e5f54aff857a..b6f350d9eeb520c78f8545579b2cb621ff28ae3b 100644
--- a/Documentation/User Manual/1-user-interface/0_start.md	
+++ b/Documentation/User Manual/1-user-interface/0_start.md	
@@ -1,9 +1,22 @@
 
+Platform Requirements
+=====================
+
+Hardware Requirements
+
+   + Microsoft Windows PC running Microsoft Windows 7 or later
+
+Software Requirements
+
+   + Microsoft .NET Framework 4.5
+
+
+
 User Manual
 ====================================
 ![](pics/VECTOlarge.png)\
 \
-Version: VECTO 3.1 / VectoCore 3.1.0 / VectoCmd 3.1.0
+Version: VECTO 3.2 / VectoCore 3.2.0 / VectoCmd 3.2.0
 
 ---
 
@@ -21,6 +34,6 @@ This User Manual consists of 4 Parts:
 - [Input and Output](#input-and-output):
     : Describes the input and output file formats.
 
-This user manual describes verson 3.1.x of Vecto. 
+This user manual describes verson 3.2.x of Vecto. 
 
 
diff --git a/Documentation/User Manual/1-user-interface/F_VEH-Editor.md b/Documentation/User Manual/1-user-interface/F_VEH-Editor.md
index 5ab649c2ad957de95a1f9947a632b6af481c2564..454ecd87de2975e73b07efac829f99a8a9d1abaf 100644
--- a/Documentation/User Manual/1-user-interface/F_VEH-Editor.md	
+++ b/Documentation/User Manual/1-user-interface/F_VEH-Editor.md	
@@ -1,11 +1,13 @@
 ##Vehicle Editor
 
-![](pics/VEH-Editor.jpg)
+![](pics/VEH-Editor.PNG)
 
 ###Description
 
 The [Vehicle File (.vveh)](#vehicle-file) defines the main vehicle/chassis parameters like axles including [RRC](#rolling-resistance-coefficient)s, air resistance and weight.
 
+The Vehicle Editor contains 3 tabs to edit all vehicle-related parameters. The 'General' tab allows to input mass, loading, air resistance, vehicle axles, etc. The 'Powertrain' allows to define the retarder, an optional angle drive, or PTO consumer. In the third tab the engine torque can be limited to a maximum for individual gears.
+
 ###Relative File Paths
 
 It is recommended to use relative filepaths. This way the Job File and all input files can be moved without having to update the paths.
diff --git a/Documentation/User Manual/1-user-interface/G_ENG-Editor.md b/Documentation/User Manual/1-user-interface/G_ENG-Editor.md
index 84f9dd00e7516c880fde0f9096d53a19516a825d..04d7c975b376f910085fe4e52a45164b9c3c21e7 100644
--- a/Documentation/User Manual/1-user-interface/G_ENG-Editor.md	
+++ b/Documentation/User Manual/1-user-interface/G_ENG-Editor.md	
@@ -1,6 +1,6 @@
 ##Engine Editor
 
-![](pics/ENG-Editor.jpg)
+![](pics/ENG-Editor.PNG)
 
 ###Description
 
diff --git a/Documentation/User Manual/1-user-interface/H_GBX-Editor.md b/Documentation/User Manual/1-user-interface/H_GBX-Editor.md
index 1ac895d63fa80333e23696910422d3010b3425e4..500bdd4b6496860022d2ec74cb96154f1332a576 100644
--- a/Documentation/User Manual/1-user-interface/H_GBX-Editor.md	
+++ b/Documentation/User Manual/1-user-interface/H_GBX-Editor.md	
@@ -2,7 +2,7 @@
 
 
 
-![](pics/GBX-Editor.png)
+![](pics/GBX-Editor.PNG)
 
 
 ###Description
diff --git a/Documentation/User Manual/3-simulation-models/ADAS_EcoRoll.md b/Documentation/User Manual/3-simulation-models/ADAS_EcoRoll.md
index 6b36b03ea6218f0691f8d22543dc7eff8830dec5..21c3d25c02b1016271e54fbb920c4e6800b0d79d 100644
--- a/Documentation/User Manual/3-simulation-models/ADAS_EcoRoll.md	
+++ b/Documentation/User Manual/3-simulation-models/ADAS_EcoRoll.md	
@@ -1,5 +1,4 @@
-##Overspeed
-
+##Driver: Overspeed
 
 
 Both functions control the vehicle's behaviour on uneven road sections (slope ≠ 0) and can be configured in the [Job File](#job-file)'s Driver Assist Tab. Overspeed is designed to model an average driver's behaviour without the aid of driver assistance systems. Eco-Roll  represents an optional driver assistance feature. For this reason vehicles without Eco-Roll should always have the Overspeed function enabled.
diff --git a/Documentation/User Manual/3-simulation-models/Driver_AccLimit.md b/Documentation/User Manual/3-simulation-models/Driver_AccLimit.md
index dfa17c4eb9d89266c60a1a345f32f87faf02307f..c8b482e50081743184a72d11969d2dda7cc01343 100644
--- a/Documentation/User Manual/3-simulation-models/Driver_AccLimit.md	
+++ b/Documentation/User Manual/3-simulation-models/Driver_AccLimit.md	
@@ -1,4 +1,4 @@
-##Acceleration Limiting
+##Driver: Acceleration Limiting
 
 VECTO limits the vehicle acceleration and deceleration depending on current vehicle speed, to model a realistic driver behavior. These limits are defined in the [Acceleration Limiting Input File (.vacc)](#acceleration-limiting-input-file-.vacc), which can be set in the [Job File](#job-file). In Declaration mode this is already predefined.
 
diff --git a/Documentation/User Manual/3-simulation-models/Driver_LAC.md b/Documentation/User Manual/3-simulation-models/Driver_LAC.md
index d4963592e5bc52ce2c70ee2769990456404663f4..554a9e2f8116836708f9962241c6d7de98730587 100644
--- a/Documentation/User Manual/3-simulation-models/Driver_LAC.md	
+++ b/Documentation/User Manual/3-simulation-models/Driver_LAC.md	
@@ -1,4 +1,4 @@
-##Look-Ahead Coasting
+##Driver: Look-Ahead Coasting
 
 Look-Ahead Coasting is a function that aims on modelling real driver behaviour. It is a forward-looking function that detects forthcoming reductions in target speed in the mission profile (e.g. speed limit, etc.) and induces an early deceleration using engine braking before applying mechanical brakes according to the [deceleration limit](#acceleration-limiting).
 
diff --git a/Documentation/User Manual/3-simulation-models/Engine_FC.md b/Documentation/User Manual/3-simulation-models/Engine_FC.md
index c19ae4371389028dbf29b5764c0ea8b63e3c3b8f..3343b67f659798759ba6dc9c584d6f336e2bb144 100644
--- a/Documentation/User Manual/3-simulation-models/Engine_FC.md	
+++ b/Documentation/User Manual/3-simulation-models/Engine_FC.md	
@@ -1,4 +1,4 @@
-##Fuel Consumption Calculation
+##Engine: Fuel Consumption Calculation
 
 
 The base FC value is interpolated from the stationary [FC map](#fuel-consumption-map-.vmap). If necessary the base value is corrected to compensate for unconsidered auxiliary energy consumption for vehicles with Start/Stop. In Declaration Mode additionally the WHTC correction is applied, see below.
diff --git a/Documentation/User Manual/3-simulation-models/Engine_Speed_Torque_limitations.md b/Documentation/User Manual/3-simulation-models/Engine_Speed_Torque_limitations.md
new file mode 100644
index 0000000000000000000000000000000000000000..74f03f51517b3d260734f60996ff69a47508923e
--- /dev/null
+++ b/Documentation/User Manual/3-simulation-models/Engine_Speed_Torque_limitations.md	
@@ -0,0 +1,39 @@
+
+##Engine Torque and Engine Speed Limitations
+
+The engine's maximum speed and maximum torque may be limited by either the gearbox (due to mechanical constraints) or the vehicle control.
+Engine torque limitations are modeled by limiting the engine full-load curve to the defined maximum torque, i.e., the original engine full-load curve is cropped at the defined maximum torque for a certain gear. Limits regarding the gearbox' maximum input speed are modeled by intersecting (and limiting) the upshift line with the max. input speed. In the last gear, where no upshifts are possible, the engine speed is limited to the gearbox' maximum input speed.
+
+Gear shift polygons are calculated by VECTO based on the overall (i.e. from gearbox and vehicle control) cropped engine fullload curve.
+
+
+<div class="engineering">
+In Engineering Mode, speed and torque limits can be defined and will be effective for every gear.
+</div>
+
+<div class="declaration">
+In Declaration Mode, the following rules restrict the limitations of engine torque:
+
+###Transmission Input-Speed Limitations
+
+* Applicable for every gear
+
+###Transmission Torque Limitations
+
+* For higher 50% of gears (i.e., gears 7 to 12 for a 12-gear transmission):
+    - Transmissions max torque > 90% of engine max torque: max. torque limitation *not* applicable (VECTO extrapolates loss-maps)
+    - Transmissions max torque <= 90% of engine max torque: max. torque limitation applicable
+* For lower 50% of gears (i.e., gears 1 to 6 for a 12-gear transmission):
+    - Transmission torque limit is always applicable
+
+###Vehicle defined Torque Limitations
+
+* For higher 50% of gears (i.e., gears 7 to 12 for a 12-gear transmission):
+    - Torque limit > 95% of engine max torque: max. torque limitation *not* applicable (VECTO extrapolates loss-maps)
+    - Torque limit <= 90% of engine max torque: max. torque limitation applicable
+* For lower 50% of gears (i.e., gears 1 to 6 for a 12-gear transmission):
+    - Torque limit is *not* applicable
+
+</div>
+
+
diff --git a/Documentation/User Manual/3-simulation-models/Engine_StartStop.md b/Documentation/User Manual/3-simulation-models/Engine_StartStop.md
index fbfa8395a821fa208fe3882033eaadf58215dd3d..5fed532f6227c47a28d42f7a6e97a4ad690fe408 100644
--- a/Documentation/User Manual/3-simulation-models/Engine_StartStop.md	
+++ b/Documentation/User Manual/3-simulation-models/Engine_StartStop.md	
@@ -1,3 +1,4 @@
 ##Engine Start/Stop
 
-Eco-Roll is not implemented in Vecto 3.1.
\ No newline at end of file
+Eco-Roll is not implemented in Vecto 3.1.
+
diff --git a/Documentation/User Manual/3-simulation-models/Engine_WHTC.md b/Documentation/User Manual/3-simulation-models/Engine_WHTC.md
index 5e4c0cc95627a9f08dddc3c5f3013f44ef031ce2..4a1f9c43aecd7a792af6766ac215109bc342fefb 100644
--- a/Documentation/User Manual/3-simulation-models/Engine_WHTC.md	
+++ b/Documentation/User Manual/3-simulation-models/Engine_WHTC.md	
@@ -1,4 +1,4 @@
-##Engine: WHTC Correction
+##Engine: Correction Factors
 
 <div class="declaration">
 In declaration mode the fuel consumption is corrected as follows:
@@ -26,9 +26,9 @@ with the correction factor CF~urb~, CF~rur~, CF~mot~ coming from the [Engine](#e
 | Interurban bus     | 45%     | 36%     | 19%     |
 | Coach              | 0%      | 22%     | 78%     |
 
-In order to balance the trade-off between emissions and fuel consumption during cold and hot starting conditions an additional balancing factor $CF_{C/H}$ is determined from the overall specific fuel consumption over the cold start and hot start WHTC test. This value is part of the output from the engine component tool.
+In order to balance the trade-off between emissions and fuel consumption during cold and hot starting conditions an additional balancing factor $CF_{C/H}$ is determined from the overall specific fuel consumption over the cold start and hot start WHTC test. Additional correction factors considered are regarding the net calorific value of the fuel ($CF_{NCV}$) and exhaust after-treatment systems ($CF_{RegPer}$). This values are part of the output from the engine component tool.
 
-The WHTC-corrected fuel consumption is then calculated with: $FC_{whtc} = FC \cdot CF_{total} \cdot CF_{C/H}$
+The WHTC-corrected fuel consumption is then calculated with: $FC_{whtc} = FC \cdot CF_{total} \cdot CF_{C/H} \cdot CF_{RegPer} \cdot CF_{NCV}$
 </div>
 
 <div class="engineering">
diff --git a/Documentation/User Manual/3-simulation-models/GearShift.md b/Documentation/User Manual/3-simulation-models/GearShift.md
index e171186b8f32f72fde7cc763e2727f5d5468e9c8..cb7a98fcb9184516cda67b40c610fe8e46d2f82b 100644
--- a/Documentation/User Manual/3-simulation-models/GearShift.md	
+++ b/Documentation/User Manual/3-simulation-models/GearShift.md	
@@ -1,4 +1,4 @@
-##Gear Shift Model (MT, AMT)
+##Gearbox: Gear Shift Model
 
 
 The Gear Shift Model is based on shift curves that define the engine speed for up- and down- shifting as a function of engine torque. As soon as the engine operation point passes one of the shift curves a gear change is initiated.
@@ -45,13 +45,4 @@ Early Upshift (allow upshifts inside the shift polygons) is enabled for AMT only
 ![](pics/GBX-Editor-shift2.svg)
 
 
-###Generic shift conditions
 
-- Only allow upshifts if the vehicle is not decelerating **and** the estimated acceleration in the next gear is higher than a certain threshold (default: 0.1 m/s²)
-- Do not allow downshifts with less time than a certain amount after an upshift (default 10 s)
-- Do not allow upshifts with less time than a certain amount after an downshift (default 10 s)
-
-Parameters in [Gearbox File](#gearbox-file):
-: - **DownshiftAferUpshiftDelay**
-- **UpshiftAfterDownshiftDelay**
-- **UpshiftMinAcceleration**
diff --git a/Documentation/User Manual/3-simulation-models/GearShift_AMT.md b/Documentation/User Manual/3-simulation-models/GearShift_AMT.md
new file mode 100644
index 0000000000000000000000000000000000000000..6701c43dd8adf74b24ea22bccf288b260cebe8a8
--- /dev/null
+++ b/Documentation/User Manual/3-simulation-models/GearShift_AMT.md	
@@ -0,0 +1,71 @@
+##Gearbox: MT and AMT Gearshift Rules
+
+This section describes the gearshift rules for manual and automatic manual transmission models. When a gearshift is triggered, gears may be skipped for both MT and AMT gearboxes (see [Gearbox: Gear Shift Model](#gearbox-gear-shift-model)). Early Upshift (see [Gearbox: Gear Shift Model](#gearbox-gear-shift-model)) is only enabled for AMT gearboxes.
+
+###Shift Polygons in Declaration Mode (According to ACEA Whitebook 2016)
+
+####1. Computation of Characteristic Points
+![](pics/shiftlines_1.PNG)
+
+####2. Definition of Shift Lines
+![](pics/shiftlines_2.PNG)
+
+####3. Exception 1: Margin to Max-Torque line (Downshift)
+![](pics/shiftlines_3.PNG)
+
+Note: Line L1 is shiftet parallel so that it satisfies the max-torque margin condition, not intersected.
+
+####4. Exception 2: Minimal Distance between Downshift and Upshift Lines
+![](pics/shiftlines_4.PNG)
+
+####5. Final Gearshift Lines (Example)
+![](pics/shiftlines_5.PNG)
+
+If the gearbox defines a maximum input speed for certain gears the upshift line may further be intersected 
+and limited to the gear's maximum input speed.
+
+###Upshift rules
+
+* If the engine speed is higher than the gearbox maximum input speed or engine n_{95h} speed (whichever is lower)
+* If all of the following conditions are met:
+    - The vehicle is not decelerating AND
+    - Engine operation point (speed and torque) is above (right of) the upshift line AND
+    - The acceleration in the next gear is above a certain threshold if the driver is accelerating, i.e., acceleration_nextGear > min(Min. acceleration   threshold, Driver acceleration) AND
+    - The last gearshift was longer than a certain threshold (Declaration Mode: 2s) ago AND
+    - The last downshift was longer than a certain threshold (Declaration Mode: 10s) ago
+
+###Upshift rules for Early Upshift (AMT only)
+
+* If the engine speed is higher than the gearbox maximum input speed or engine n_{95h} speed (whichever is lower)
+* If all of the following conditions are met:
+    - The vehicle is not decelerating AND
+    - The engine's operating point (speed and torque) is above the downshift line with a certain margin to the max. torque (torque reserve) AND
+    - The acceleration in the next gear is above a certain threshold if the driver is accelerating, i.e., acceleration_nextGear > min(Min. acceleration   threshold, Driver acceleration) AND
+    - The last gearshift was longer than a certain threshold (Declaration Mode: 2s) ago AND
+    - The last downshift was longer than a certain threshold (Declaration Mode: 10s) ago
+
+
+###Downshift
+
+* If the engine speed is lower than the engine's idle speed
+* If all of the following conditions are met:
+    - Engine operation point (speed and torque) is below (left of) the downshift line AND
+    - The last gearshift was longer than a certain threshold (Declaration Mode: 2s) ago AND
+    - The last upshift was longer than a certain threshold (Declaration Mode: 10s) ago
+
+
+###Shift parameters
+
+- Gearshift lines
+- Engine idle speed
+- Gearbox max. input speed
+- Engien n_{95h} speed
+- Min. time between two consecutive gearshifts.
+- Min. time for upshift after a downshift
+- Min. time for downshift after an upshift
+- Min. acceleration in next gear
+
+For Skip Gears and Early Upshift the following additional parameters are required:
+
+- Torque reserve
+
diff --git a/Documentation/User Manual/3-simulation-models/GearShift_AT.md b/Documentation/User Manual/3-simulation-models/GearShift_AT.md
index bdf01ed4ecbad26e521489ffd853d87eddd1e67c..2e46e9a4b7933a3b4ed49344cd6ce0406253b70f 100644
--- a/Documentation/User Manual/3-simulation-models/GearShift_AT.md	
+++ b/Documentation/User Manual/3-simulation-models/GearShift_AT.md	
@@ -1,15 +1,22 @@
-##Gear shift rules for AT Gearbox
+##Gearbox: AT Gearshift Rules
 
-The gear shift rules for automatic gearboxes differ from AMT and MT.
-
-Gears are shifted sequentially:
+For AT gearboxes neither Skip Gears nor Early upshift (see [Gearbox: Gear Shift Model](#gearbox-gear-shift-model)) are enabled. Moreover, the gears are shifted strictly sequentially:
 
 - 1C -> 1L -> 2L -> ...  (torque converter only in 1st gear)
 - 1C -> 2C -> 2L -> ...  (torque converter in 1st and 2nd gear)
 
+###Shift Polygons in Declaration Mode
+
+The shift lines in Declaration Mode only apply for trucks and gearboxes with serial torque converter (AT-S).
+
+* Downshift line: 700 rpm (torque independent, vertical line)
+* Upshift line: 900 rpm for torque <= 0; 1150 rpm @ Engine's maximum torque
+
+![](pics/at_gearbox_shiftlines.PNG)
+
 ###Upshift rules
 
-+ If engine speed and engine torque in the next gear (see shift sequence) is above the upshift line AND
++ If engine speed and engine torque in the *next gear* (see shift sequence) is above the upshift line AND
 + the acceleration in the next gear is above a certain threshold if the driver is accelerating, i.e., acceleration_nextGear > min(Min. acceleration threshold, Driver acceleration)
 
 The user interface allows to enter two acceleration thresholds, one for locked gear to locked gear shifts and another vor converter to locked gear shifts. For converter to converter shifts the latter threshold applies.
@@ -27,4 +34,7 @@ The user interface allows to enter two acceleration thresholds, one for locked g
 
 - Min. time between two consecutive gearshifts.
 - Min. acceleration after gearshift for L to L gear shifts
-- Min. acceleration after gearhsift for C to L (and C to C) gear shifts
+- Min. acceleration after gearhsift for C to L gear shifts
+- Min. acceleration after gearshift for C to C geear shifts
+
+
diff --git a/Documentation/User Manual/3-simulation-models/Gearbox_AT.md b/Documentation/User Manual/3-simulation-models/Gearbox_AT.md
index f7857384eb2c06063b789e76033d87edc1eeec64..0f3ee4f3f9033d76586301f752205b77040c00ff 100644
--- a/Documentation/User Manual/3-simulation-models/Gearbox_AT.md	
+++ b/Documentation/User Manual/3-simulation-models/Gearbox_AT.md	
@@ -1,4 +1,4 @@
-##AT Gearbox Model
+##Gearbox: AT Gearbox Model
 
 Vecto supports both, AT gearboxes with serial torque converter and AT gearboxes with power split. Internally, both gearbox types are simulated using a power train architecture with the torque converter in series.
 
@@ -31,9 +31,7 @@ Model parameters: shift time ($t_s$), inertia factor ($f_I$)
 
 ![Engine speed, clutch speed during power-shift](pics/powershiftlosses.png)
 
-$T_{PS,loss} = |(T_{GBX,in} + T_{inertia}) * \Delta\omega_F| * t_s / dt$
-
-$T_{inertia} = f_I * I_{engine} * \Delta\omega_I / dt$
+$T_{PS,loss} = |T_{GBX,in}  * \Delta\omega_F| * t_s / dt$
 
 $\Delta\omega_I = \omega_{engine,1} - \omega_{engine,2}$
 
diff --git a/Documentation/User Manual/3-simulation-models/Transmission_Losses.md b/Documentation/User Manual/3-simulation-models/Transmission_Losses.md
index d40af35e08b13e439ffefc278dd0f1c92a0d22bb..105f3f8247eaf7351a8b5a5c92559486f2c0ebb4 100644
--- a/Documentation/User Manual/3-simulation-models/Transmission_Losses.md	
+++ b/Documentation/User Manual/3-simulation-models/Transmission_Losses.md	
@@ -1,6 +1,6 @@
 ##Transmission Losses
 
-Every transmission component uses the following formula for calculating the torques at input and output side of the component:
+Every transmission component (gearbox, angledrive, axlegear, ...) uses the following formula for calculating the torques at input and output side of the component:
 
 $T_{output} = (T_{input} - T_{loss}) * r_{gear}$
 
diff --git a/Documentation/User Manual/3-simulation-models/Vehicle_CrossWindCorrection.md b/Documentation/User Manual/3-simulation-models/Vehicle_CrossWindCorrection.md
index aeaef604e560fdecae6f6183cf44753783efe88b..d8df06de6582902e4e87c4c9cb49146d20de0f05 100644
--- a/Documentation/User Manual/3-simulation-models/Vehicle_CrossWindCorrection.md	
+++ b/Documentation/User Manual/3-simulation-models/Vehicle_CrossWindCorrection.md	
@@ -1,21 +1,65 @@
-##Cross Wind Correction
+##Vehicle: Cross Wind Correction
 
 
 VECTO offers three different modes to consider cross wind influence on the drag coefficient. It is configured in the [Vehicle File](#vehicle-file).
+The aerodymanic force is calculated according to the following equation:
 
+$F_{aero}=1/2 \rho_{air}(C_{d,v}A(v_{veh})) v_{veh}^2$
+
+The speed dependecy of the $C_dA$ value allows for consideration of average cross widn conditions.
 
 ###Speed dependent correction (Declaration Mode)
 
 
-This is the mode which is used in [Declaration Mode](#declaration-mode). The speed dependent C~d~A curve (see below) is calculated based on generic parameters for each vehicle class and the C~d~A value from the [Vehicle File](#vehicle-file).
+This is the mode which is used in [Declaration Mode](#declaration-mode).
+
+The crossind correction is based on the following boundary conditions:
+
+1 Average wind conditions: The typical conditions are defined with 3m/s of wind at a height of 4m above ground level, blowin uniformly distributed from all directions.
+2 Dependency of $C_dA$ value on yaw angle: The dependency of the $CdA$ value on yaw angle is described by generic $3^{rd}$ order polynomial functions of the form: 
+
+$C_dA(\beta) - C_dA(0) = a_1\beta + a_2\beta^2 + a_3\beta^3$ 
+
+The following table gives the coefficients per vehicle type:
+
+|                        |  a1       | 	a2       | 	a3        |
+|------------------------|-----------|-----------|------------|
+| rigid solo	         | 0.013526  | 	0.017746 | 	-0.000666 |
+| rigid trailer, EMS     | 0.017125  | 	0.072275 | 	-0.004148 |
+| tractor semitrailer	 | 0.030042  | 	0.040817 | 	-0.002130 |
+| bus, coach	         | -0.000794 | 	0.021090 |  -0.001090 |
+
+
+In a pre-processing step VECTO calculates the function for $C_dA$ value as a function of vehicle speed. This is done by integration of all possible directions of the ambient wind from ground level to maximum vehicle height considering the boundary layer effect based on the following formulas: 
+
+$C_{d,v}A(v_{veh}) = \frac{1}{2 \pi v_{veh}^2 h_{veh}}\int_{\alpha = 0°}^{\alpha = 360°}{\int_{h=0}^{h=h_{veh}}{C_dA(\beta)\cdot v_{air}(h, \alpha)^2} \text{d}h\ \text{d}\alpha}$
+
+$v_{air}(h) = \sqrt{(v_{wind}(h)\cdot\cos\alpha + v_{veh})^2 + (v_{wind}(h)\cdot\sin\alpha)^2}$
 
+$v_{wind}(h) = v_{wind}(h_{ref})\cdot \left(\frac{h}{h_{ref}}\right)^{0.2}$
+
+with
+
+$\alpha \ldots \text{direction of ambient wind relative to the vehicle x-axis}$
+
+$h \ldots \text{height above ground}$
+
+$h_{ref} \ldots \text{reference heigth, 4m, for 3m/s average ambient wind}$
+
+$v_{air} \ldots \text{resulting air flow velocity from vehicle speed and ambient wind}$
+
+$v_{veh} \ldots \text{vehicle speed}$
+
+$v_{wind} \ldots \text{velocity of ambient wind}$
+
+The generation of the $C_{d,v}A(v_{veh})$ curve is demonstrated in [this Excel sheet](Cdv_Generator_VECTO3.2.xlsx)
 
 ###Speed dependent correction (User-defined)
 The base C~d~A value (see [Vehicle File](#vehicle-file)) is corrected with a user-defined speed dependent scaling function. A [vcdv-File](#speed-dependent-cross-wind-correction-input-file-.vcdv) is needed for this calculation.
 
 The C~d~A value given in the vehicle configuration is corrected depending on the vehicle's speed and the C~d~ scaling factor from the input file as follows:
 
-$C_dA_{effective} = C_dA * C_d(v_{veh})$
+$C_dA(v_{veh}) = C_dA * F_C_d(v_{veh})$
 
  ![](pics/VCDV.png)
 
@@ -26,6 +70,8 @@ The actual (measured) air speed and direction can be used to correct cross-wid i
 
 The C~d~A value given in the vehicle configuration is corrected depending on the wind speed and wind angle (given in the driving cycle) using the input file as follows:
 
-$C_dA_{effective} = C_dA + {\Delta}C_d(\beta)$
+$C_dA(v_veh) = C_dA + {\Delta}C_d(\beta)$
+
+
 
  ![](pics/VCDB.png)
diff --git a/Documentation/User Manual/3-simulation-models/Vehicle_RRC.md b/Documentation/User Manual/3-simulation-models/Vehicle_RRC.md
index 4125921f872474e8a01958bacaaedaeb5c78a98f..0f7fedb35df8ccba18a1cef0a695d6bd70361231 100644
--- a/Documentation/User Manual/3-simulation-models/Vehicle_RRC.md	
+++ b/Documentation/User Manual/3-simulation-models/Vehicle_RRC.md	
@@ -1,4 +1,4 @@
-##Rolling Resistance Coefficient
+##Vehicle: Rolling Resistance Coefficient
 
 
 The rolling resistance is calculated using a speed-independent rolling resistance coefficient (RRC).
diff --git a/Documentation/User Manual/3-simulation-models/simulation-models.md b/Documentation/User Manual/3-simulation-models/simulation-models.md
index 4844eefd8704739b05e130ff2ea8377d962b36fa..b2491864cc20b740ff396e809620ab5f8b05574c 100644
--- a/Documentation/User Manual/3-simulation-models/simulation-models.md	
+++ b/Documentation/User Manual/3-simulation-models/simulation-models.md	
@@ -3,16 +3,19 @@
 In this chapter the used component models for the simulation are described.
 
 * [Powertrain and Components Structure](#powertrain-and-components-structure)
-* [Driver: Acceleration Limiting](#acceleration-limiting)
-* [Driver: Look-Ahead Coasting](#look-ahead-coasting)
-* [ADAS: Overspeed](#overspeed)
-* [Vehicle: Cross Wind Correction](#cross-wind-correction)
-* [Vehicle: Rolling Resistance Coefficient](#rolling-resistance-coefficient)
+* [Driver: Acceleration Limiting](#driver-acceleration-limiting)
+* [Driver: Look-Ahead Coasting](#driver-look-ahead-coasting)
+* [ADAS: Overspeed](#driver-overspeed)
+* [Vehicle: Cross Wind Correction](#vehicle-cross-wind-correction)
+* [Vehicle: Rolling Resistance Coefficient](#vehicle-rolling-resistance-coefficient)
 * [Engine Start/Stop](#engine-startstop)
-* [Engine: Fuel Consumption Calculation](#fuel-consumption-calculation)
-* [Engine: Transient Full Load](#transient-full-load)
-* [Engine: WHTC Correction](#transient-full-load)
-* [Gear Shift Model](#gear-shift-model)
+* [Engine: Fuel Consumption Calculation](#engine-fuel-consumption-calculation)
+* [Engine: Transient Full Load](#engine-transient-full-load)
+* [Engine: WHTC Correction Factors](#engine-correction-factors)
+* [Engine Torque and Engine Speed Limitations](#engine-torque-and-engine-speed-limitations)
+* [Gearbox: Gear Shift Model](#gearbox-gear-shift-model)
+* [Gearbox: MT and AMT Gearshift Rules](#gearbox-mt-and-amt-gear-shift-rules)
+* [Gearbox: AT Gearshift Rules](#gearbox-at-gear-shift-rules)
 * [Torque Converter Model](#torque-converter-model)
 * [Auxiliaries](#auxiliaries)
 * [Engine Only Mode](#engine-only-mode)
diff --git a/Documentation/User Manual/5-input-and-output-files/XML_DeclarationReport.md b/Documentation/User Manual/5-input-and-output-files/XML_DeclarationReport.md
new file mode 100644
index 0000000000000000000000000000000000000000..25c85a8d5a4d0e3efe44b8d385c4e236c6c2cef2
--- /dev/null
+++ b/Documentation/User Manual/5-input-and-output-files/XML_DeclarationReport.md	
@@ -0,0 +1,18 @@
+##XML Declaration Report
+
+<div class="declaration">
+In Declaration Mode VECTO generates two reports according to the Technical Annex for vehicle certification:
+
+* Manufacturer Report
+* Customer Information Report
+
+Both reports are in XML format and contain a description of the simulated vehicle and the simulation results. The format is described in the following resources:
+
+* [Manufacturer Report XML schema](../XML/XSD/VectoOutputManufacturer.xsd)
+* [Manufacturer Report XML schema diagram](VectoOutputDeclaration.pdf)
+* [Customer Report XML schema](../XML/XSD/VectoOutputCustomer.xsd)
+* [Customer Report XML schema diagram](VectoOutputDeclarationCustomer.pdf)
+
+Sample reports are distributed with the generic vehicles.
+
+</div>
diff --git a/Documentation/User Manual/5-input-and-output-files/XML_Job-File_DeclarationMode.md b/Documentation/User Manual/5-input-and-output-files/XML_Job-File_DeclarationMode.md
new file mode 100644
index 0000000000000000000000000000000000000000..c468c83d977ed520f64dabe35d7e48ec0dc88779
--- /dev/null
+++ b/Documentation/User Manual/5-input-and-output-files/XML_Job-File_DeclarationMode.md	
@@ -0,0 +1,10 @@
+##XML Job-File (Declaration Mode)
+
+<div class="declaration">
+For vehicle certification the input data (vehicle data) has to be provided in XML format. Please see the following resources for more information:
+
+* [XML schema description](VectoInputDeclaration.1.0.pdf)
+* [XML schema diagram](../XML/XSD/VectoInput.xsd)
+* [Example of an XML Job-File](../XML/Examples/vecto_vehicle-sample.xml)
+
+</div>
\ No newline at end of file
diff --git a/Documentation/User Manual/5-input-and-output-files/input-output.md b/Documentation/User Manual/5-input-and-output-files/input-output.md
index b724875d44558bf51dcdf3e6216760d563f29126..c4593e1c933cae9c5699520cd60dc4aeb9fafc3a 100644
--- a/Documentation/User Manual/5-input-and-output-files/input-output.md	
+++ b/Documentation/User Manual/5-input-and-output-files/input-output.md	
@@ -7,10 +7,10 @@ Vecto uses data files for input and output of data. These are stored in differen
 
 - [JSON](#json)
 - [Vecto CSV](#csv)
-
+- [XML](#xml-job-file-declaration-mode)
 
 **Output:**
 
 - [JSON](#json)
 - [Vecto CSV](#csv)
-- PDF (for Declaration Report)
+- [XML Declaration Report](#xml-declaration-report)
diff --git a/Documentation/User Manual/6-changelog/changelog.md b/Documentation/User Manual/6-changelog/changelog.md
index 7da55236957f5ef30bbf663c94b3b7725bf00dc2..8253cb8ae4a827a61a492055b8941c0538650c9f 100644
--- a/Documentation/User Manual/6-changelog/changelog.md	
+++ b/Documentation/User Manual/6-changelog/changelog.md	
@@ -1,10 +1,69 @@
 #Changelog
 
+**VECTO 3.2.0**
+
+***Build 925 (2017-07-13)***
+
+- Improvements
+    + [VECTO-366] added EMS vehicle configuration, EMS is only simulated when engine rated power > 300kW
+    + [VECTO-463] add pneumatic system technology 'vacuum pump'
+    + [VECTO-465] change RRC value of trailers (declaration mode) from 0.00555 to 0.0055 (due to limits in user interface)
+    + [VECTO-477] AT Gearbox, powershift losses: remove inertia factor
+    + [VECTO-471] update cross-wind correction model: height-dependent wind speed (see Excel spreadsheet in User Manual folder for details)
+    + [VECTO-367] Add Vehicle Design Speed to segmentation table
+    + [VECTO-470] Add XML reading and export functionality
+    + [VECTO-486] Adding hashing library
+    + [VECTO-469] Limit engine max torque (either due to vehicle or gearbox limits), limit gearbox input speed
+    + [VECTO-466] Update vehicle payloads: 10% loaded and reference load are simulated
+    + [VECTO-467] Add generic PTO activation in municipal cycle
+    + [VECTO-468] Add PTO losses (idle) in declaration mode
+    + [VECTO-479] Added PTO option 'only one engaged gearwheel above oil level' with 0 losses
+    + [VECTO-483] Adapt CdxA supplement for additional trailers
+    + [VECTO-494] Implementation of different fuel types
+    + [VECTO-502] Implementing standard values for air-drag area (if not measured)
+    + [VECTO-501] Implement engine idle speed set in vehicle (must be higher than engine's idle speed value)
+    + [VECTO-504] Adding HVAC technology 'none'
+    + [VECTO-489] Extrapolate gearbox lossmaps (required when torque limitation by gearbox is ignored)
+    + [VECTO-505] Implement AT transmissions in declaration mode
+    + [VECTO-507] Allow to ignore validation of model data when starting a simulation (significant improvement on simulation startup time - about 10s)
+    + [VECTO-506] modified method how torque-converter characteristics in drag is extended. allow drag-values in the input, only add one point at a high speed ratio
+    + [VECTO-509] Add axle-type (vehicle driven, vehicle non-driven, trailer) to GUI
+    + [VECTO-511] Add engine idle speed to Vehicle input form (GUI)
+    + [VECTO-510] Write XML reports (manufacturer, customer information) in declaration mode
+    + [VECTO-474] new driving cycles for Municipal and Regional Delivery
+    + [VECTO-522] step-up ratio for using torque converter in second gear set to 1.85 for busses (still 1.8 for trucks)
+    + [VECTO-525] remove info-box with max loading in GUI
+    + [VECTO-531] Payload calculation: limit truck payload to the truck's max payload. (earlier versions only limited the total payload of truc + trailer to the total max. payload, i.e. allowed to shifted loading from truck to the trailer)
+    + [VECTO-533] allow second driven axle, rdyn is calculated as average of both driven axles
+    + [VECTO-537] new Suburban driving cycles
+    + [VECTO-541] increase declaration mode PT1 curve to higher speeds (2500 is too low for some engines)
+
+
+
+- Bugfixes:
+    + [VECTO-462] fix: decision if PTO cycle is simulated
+    + [VECTO-473] fix: adapt range for validation of torque converter characteristics
+    + [VECTO-464] fix: extrapolation of engine full-load curve gives neg. max. torque. Limit engine speed to n95h
+    + [VECTO-480] fix: a_pos in .vsum was less than zero
+    + [VECTO-487] fix: Duration of PTO cycle was computed incorrectly if PTO cycle does not start at t=0
+    + [VECTO-514] fix: sort entries in .vsum numerically, not lexically
+    + [VECTO-516] fix: consider axlegear losses for estimation of acceleration after gearshifts
+    + [VECTO-517] fix: valid shift polygon was considered invalid when extended to very high torque ranges
+    + [VECTO-424] fix: VectoCore.dll could not be found when the current working directory is different to the directory of the vectocmd.exe
+    + [VECTO-425] fix: vectocmd.exe - check if the output is redirected, and skip updating of the progress bar when this is the case
+    + [VECTO-426] fix: vectocmd.exe - log errors to STDERR
+    + [VECTO-519] fix: computation of n95h fails for a valid full-load curve due to numerical inaccuracy. add tolerance when searching for solutions
+    + [VECTO-520] fix: gearashift count in vsum is 0
+
+
+
+
+
 **VECTO 3.1.2**
 
 ***Build 810 (2017-03-21)***
 
-- Improvements
+- Improvements:
     + [VECTO-445] Additional columns in vsum file
     + Allow splitting shift losses among multiple simulation intervals
     + Allow coasting overspeed only if vehicle speed > 0
diff --git a/Documentation/User Manual/files.txt b/Documentation/User Manual/files.txt
index db313d59020645c9d90f7a41683f99fae467ab7e..9957ec50e13bef47af00b2752f01b7a2a9b17915 100644
--- a/Documentation/User Manual/files.txt	
+++ b/Documentation/User Manual/files.txt	
@@ -25,19 +25,22 @@
 3-simulation-models/ADAS_EcoRoll.md
 3-simulation-models/Vehicle_CrossWindCorrection.md
 3-simulation-models/Vehicle_RRC.md
-3-simulation-models/Engine_StartStop.md
 3-simulation-models/Engine_FC.md
 3-simulation-models/Engine_DynamicFullLoad.md
 3-simulation-models/Engine_WHTC.md
+3-simulation-models/Engine_Speed_Torque_limitations.md
 3-simulation-models/Transmission_Losses.md
 3-simulation-models/Gearbox_AT.md
 3-simulation-models/GearShift.md
+3-simulation-models/Gearshift_AMT.md
 3-simulation-models/Gearshift_AT.md
 3-simulation-models/TC.md
 3-simulation-models/Auxiliaries.md
 3-simulation-models/PwheelInput.md
 3-simulation-models/PTO.md
 5-input-and-output-files/input-output.md
+5-input-and-output-files/XML_Job-File_DeclarationMode.md
+5-input-and-output-files/XML_DeclarationReport.md
 5-input-and-output-files/CSV.md
 5-input-and-output-files/JSON.md
 5-input-and-output-files/VECTO.md
diff --git a/Documentation/User Manual/help.html b/Documentation/User Manual/help.html
index d2db264fa8341dc79d33432e4ca2d6a2d0df142e..a0aa5b5cbcd515dd98c1f04a3ba3ef543e782877 100644
--- a/Documentation/User Manual/help.html	
+++ b/Documentation/User Manual/help.html	
@@ -128,6 +128,7 @@ code > span.in { color: #60a0b0; font-weight: bold; font-style: italic; } /* Inf
 </div>
 <div id="TOC">
 <ul>
+<li><a href="#platform-requirements">Platform Requirements</a></li>
 <li><a href="#user-manual">User Manual</a></li>
 <li><a href="#user-interface">User Interface</a><ul>
 <li><a href="#main-form">Main Form</a></li>
@@ -152,24 +153,28 @@ code > span.in { color: #60a0b0; font-weight: bold; font-style: italic; } /* Inf
 </ul></li>
 <li><a href="#simulation-models">Simulation Models</a><ul>
 <li><a href="#powertrain-and-components-structure">Powertrain and Components Structure</a></li>
-<li><a href="#acceleration-limiting">Acceleration Limiting</a></li>
-<li><a href="#look-ahead-coasting">Look-Ahead Coasting</a></li>
-<li><a href="#overspeed">Overspeed</a></li>
-<li><a href="#cross-wind-correction">Cross Wind Correction</a></li>
-<li><a href="#rolling-resistance-coefficient">Rolling Resistance Coefficient</a></li>
-<li><a href="#engine-startstop">Engine Start/Stop</a></li>
+<li><a href="#driver-acceleration-limiting">Driver: Acceleration Limiting</a></li>
+<li><a href="#driver-look-ahead-coasting">Driver: Look-Ahead Coasting</a></li>
+<li><a href="#driver-overspeed">Driver: Overspeed</a></li>
+<li><a href="#vehicle-cross-wind-correction">Vehicle: Cross Wind Correction</a></li>
+<li><a href="#vehicle-rolling-resistance-coefficient">Vehicle: Rolling Resistance Coefficient</a></li>
+<li><a href="#engine-fuel-consumption-calculation">Engine: Fuel Consumption Calculation</a></li>
 <li><a href="#engine-transient-full-load">Engine: Transient Full Load</a></li>
-<li><a href="#engine-whtc-correction">Engine: WHTC Correction</a></li>
+<li><a href="#engine-correction-factors">Engine: Correction Factors</a></li>
+<li><a href="#engine-torque-and-engine-speed-limitations">Engine Torque and Engine Speed Limitations</a></li>
 <li><a href="#transmission-losses">Transmission Losses</a></li>
-<li><a href="#at-gearbox-model">AT Gearbox Model</a></li>
-<li><a href="#gear-shift-model-mt-amt">Gear Shift Model (MT, AMT)</a></li>
-<li><a href="#gear-shift-rules-for-at-gearbox">Gear shift rules for AT Gearbox</a></li>
+<li><a href="#gearbox-at-gearbox-model">Gearbox: AT Gearbox Model</a></li>
+<li><a href="#gearbox-gear-shift-model">Gearbox: Gear Shift Model</a></li>
+<li><a href="#gearbox-mt-and-amt-gearshift-rules">Gearbox: MT and AMT Gearshift Rules</a></li>
+<li><a href="#gearbox-at-gearshift-rules">Gearbox: AT Gearshift Rules</a></li>
 <li><a href="#torque-converter-model">Torque Converter Model</a></li>
 <li><a href="#auxiliaries">Auxiliaries</a></li>
 <li><a href="#pwheel-input-sico-mode">P<sub>wheel</sub>-Input (SiCo Mode)</a></li>
 <li><a href="#pto">PTO</a></li>
 </ul></li>
 <li><a href="#input-and-output">Input and Output</a><ul>
+<li><a href="#xml-job-file-declaration-mode">XML Job-File (Declaration Mode)</a></li>
+<li><a href="#xml-declaration-report">XML Declaration Report</a></li>
 <li><a href="#csv">CSV</a></li>
 <li><a href="#json">JSON</a></li>
 <li><a href="#job-file">Job File</a></li>
@@ -201,11 +206,22 @@ code > span.in { color: #60a0b0; font-weight: bold; font-style: italic; } /* Inf
 <li><a href="#changelog">Changelog</a></li>
 </ul>
 </div>
+<div id="platform-requirements" class="section level1">
+<h1>Platform Requirements</h1>
+<p>Hardware Requirements</p>
+<ul>
+<li>Microsoft Windows PC running Microsoft Windows 7 or later</li>
+</ul>
+<p>Software Requirements</p>
+<ul>
+<li>Microsoft .NET Framework 4.5</li>
+</ul>
+</div>
 <div id="user-manual" class="section level1">
 <h1>User Manual</h1>
 <p><img 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" /><br />
 <br />
-Version: VECTO 3.1 / VectoCore 3.1.0 / VectoCmd 3.1.0</p>
+Version: VECTO 3.2 / VectoCore 3.2.0 / VectoCmd 3.2.0</p>
 <hr />
 <p>VECTO is a tool for the calculation of energy consumption and CO<sub>2</sub> emissions of vehicles. It models the components of a heavy-duty vehicle and simulates a virtual drive on a route. The goal is to provide a standardized way of calculating the energy consumption (fuel consumption) and corresponding CO<sub>2</sub> emissions.</p>
 <p>This User Manual consists of 4 Parts:</p>
@@ -231,7 +247,7 @@ Version: VECTO 3.1 / VectoCore 3.1.0 / VectoCmd 3.1.0</p>
 </dd>
 </dl></li>
 </ul>
-<p>This user manual describes verson 3.1.x of Vecto.</p>
+<p>This user manual describes verson 3.2.x of Vecto.</p>
 </div>
 <div id="user-interface" class="section level1">
 <h1>User Interface</h1>
@@ -665,46 +681,46 @@ Version: VECTO 3.1 / VectoCore 3.1.0 / VectoCmd 3.1.0</p>
 </colgroup>
 <thead>
 <tr class="header">
-<th align="left">File EXT NAME</th>
-<th align="left">Storage Type</th>
-<th align="left">Description</th>
+<th>File EXT NAME</th>
+<th>Storage Type</th>
+<th>Description</th>
 </tr>
 </thead>
 <tbody>
 <tr class="odd">
-<td align="left">.AAUX</td>
-<td align="left">JSON</td>
-<td align="left">Overall configuration information for Electrical, Pneumatic and HVAC. Top of the tree for Advanced Auxiliaries</td>
+<td>.AAUX</td>
+<td>JSON</td>
+<td>Overall configuration information for Electrical, Pneumatic and HVAC. Top of the tree for Advanced Auxiliaries</td>
 </tr>
 <tr class="even">
-<td align="left">.AALT</td>
-<td align="left">CSV</td>
-<td align="left">Advanced Combined Alternators: Contains combined map plus source maps.</td>
+<td>.AALT</td>
+<td>CSV</td>
+<td>Advanced Combined Alternators: Contains combined map plus source maps.</td>
 </tr>
 <tr class="odd">
-<td align="left">.ACMP</td>
-<td align="left">CSV</td>
-<td align="left">Advanced Compressor Map.</td>
+<td>.ACMP</td>
+<td>CSV</td>
+<td>Advanced Compressor Map.</td>
 </tr>
 <tr class="even">
-<td align="left">.APAC</td>
-<td align="left">CSV</td>
-<td align="left">Pneumatic Actuations Map: Stores number of actuations per cycle</td>
+<td>.APAC</td>
+<td>CSV</td>
+<td>Pneumatic Actuations Map: Stores number of actuations per cycle</td>
 </tr>
 <tr class="odd">
-<td align="left">.AHSM</td>
-<td align="left">JSON</td>
-<td align="left">Stores Steady State Model results, and also the configuration which resulted in the final result. UI to calculate various heat/cool/ventilate properties resulting in Electrical and Mechanical Power as well as cooling based on environmental conditions.</td>
+<td>.AHSM</td>
+<td>JSON</td>
+<td>Stores Steady State Model results, and also the configuration which resulted in the final result. UI to calculate various heat/cool/ventilate properties resulting in Electrical and Mechanical Power as well as cooling based on environmental conditions.</td>
 </tr>
 <tr class="even">
-<td align="left">.ABDB</td>
-<td align="left">CSV</td>
-<td align="left">Bus Parameter Database: Contains a list of the default parameters for different buses.</td>
+<td>.ABDB</td>
+<td>CSV</td>
+<td>Bus Parameter Database: Contains a list of the default parameters for different buses.</td>
 </tr>
 <tr class="odd">
-<td align="left">.AENV</td>
-<td align="left">CSV</td>
-<td align="left">Stores a number of environmental conditions to be used by HVAC model when in batch-mode.</td>
+<td>.AENV</td>
+<td>CSV</td>
+<td>Stores a number of environmental conditions to be used by HVAC model when in batch-mode.</td>
 </tr>
 </tbody>
 </table>
@@ -750,30 +766,30 @@ Version: VECTO 3.1 / VectoCore 3.1.0 / VectoCmd 3.1.0</p>
 <caption>Result Card: Idle</caption>
 <thead>
 <tr class="header">
-<th align="left">Amps</th>
-<th align="left">SmartAmps</th>
+<th>Amps</th>
+<th>SmartAmps</th>
 </tr>
 </thead>
 <tbody>
 <tr class="odd">
-<td align="left">40</td>
-<td align="left">0</td>
+<td>40</td>
+<td>0</td>
 </tr>
 <tr class="even">
-<td align="left">50</td>
-<td align="left">0</td>
+<td>50</td>
+<td>0</td>
 </tr>
 <tr class="odd">
-<td align="left">60</td>
-<td align="left">54</td>
+<td>60</td>
+<td>54</td>
 </tr>
 <tr class="even">
-<td align="left">70</td>
-<td align="left">64</td>
+<td>70</td>
+<td>64</td>
 </tr>
 <tr class="odd">
-<td align="left">80</td>
-<td align="left">30</td>
+<td>80</td>
+<td>30</td>
 </tr>
 </tbody>
 </table>
@@ -781,30 +797,30 @@ Version: VECTO 3.1 / VectoCore 3.1.0 / VectoCmd 3.1.0</p>
 <caption>Result Card: TractionON</caption>
 <thead>
 <tr class="header">
-<th align="left">Amps</th>
-<th align="left">SmartAmps</th>
+<th>Amps</th>
+<th>SmartAmps</th>
 </tr>
 </thead>
 <tbody>
 <tr class="odd">
-<td align="left">40</td>
-<td align="left">0</td>
+<td>40</td>
+<td>0</td>
 </tr>
 <tr class="even">
-<td align="left">50</td>
-<td align="left">0</td>
+<td>50</td>
+<td>0</td>
 </tr>
 <tr class="odd">
-<td align="left">60</td>
-<td align="left">83</td>
+<td>60</td>
+<td>83</td>
 </tr>
 <tr class="even">
-<td align="left">70</td>
-<td align="left">94</td>
+<td>70</td>
+<td>94</td>
 </tr>
 <tr class="odd">
-<td align="left">80</td>
-<td align="left">45</td>
+<td>80</td>
+<td>45</td>
 </tr>
 </tbody>
 </table>
@@ -812,30 +828,30 @@ Version: VECTO 3.1 / VectoCore 3.1.0 / VectoCmd 3.1.0</p>
 <caption>Result Card: Overrun</caption>
 <thead>
 <tr class="header">
-<th align="left">Amps</th>
-<th align="left">SmartAmps</th>
+<th>Amps</th>
+<th>SmartAmps</th>
 </tr>
 </thead>
 <tbody>
 <tr class="odd">
-<td align="left">40</td>
-<td align="left">0</td>
+<td>40</td>
+<td>0</td>
 </tr>
 <tr class="even">
-<td align="left">50</td>
-<td align="left">0</td>
+<td>50</td>
+<td>0</td>
 </tr>
 <tr class="odd">
-<td align="left">60</td>
-<td align="left">172</td>
+<td>60</td>
+<td>172</td>
 </tr>
 <tr class="even">
-<td align="left">70</td>
-<td align="left">182</td>
+<td>70</td>
+<td>182</td>
 </tr>
 <tr class="odd">
-<td align="left">80</td>
-<td align="left">90</td>
+<td>80</td>
+<td>90</td>
 </tr>
 </tbody>
 </table>
@@ -855,48 +871,48 @@ Version: VECTO 3.1 / VectoCore 3.1.0 / VectoCmd 3.1.0</p>
 </colgroup>
 <thead>
 <tr class="header">
-<th align="left">Category</th>
-<th align="left">Name</th>
-<th align="left">Default value</th>
-<th align="left">Engineering</th>
-<th align="left">Declaration</th>
+<th>Category</th>
+<th>Name</th>
+<th>Default value</th>
+<th>Engineering</th>
+<th>Declaration</th>
 </tr>
 </thead>
 <tbody>
 <tr class="odd">
-<td align="left">Powernet Voltage</td>
-<td align="left">Powernet Voltage</td>
-<td align="left">28.3</td>
-<td align="left">Locked default</td>
-<td align="left">Locked default</td>
+<td>Powernet Voltage</td>
+<td>Powernet Voltage</td>
+<td>28.3</td>
+<td>Locked default</td>
+<td>Locked default</td>
 </tr>
 <tr class="even">
-<td align="left">Alternator Map</td>
-<td align="left">Alternator Map</td>
-<td align="left">blank</td>
-<td align="left">Open/editable</td>
-<td align="left">Open/OEM data</td>
+<td>Alternator Map</td>
+<td>Alternator Map</td>
+<td>blank</td>
+<td>Open/editable</td>
+<td>Open/OEM data</td>
 </tr>
 <tr class="odd">
-<td align="left">Alternator Pulley Efficiency</td>
-<td align="left">Alternator Pulley Efficiency</td>
-<td align="left">0.92</td>
-<td align="left">Locked default</td>
-<td align="left">Locked default</td>
+<td>Alternator Pulley Efficiency</td>
+<td>Alternator Pulley Efficiency</td>
+<td>0.92</td>
+<td>Locked default</td>
+<td>Locked default</td>
 </tr>
 <tr class="even">
-<td align="left">Door Actuation Time (s)</td>
-<td align="left">Door Actuation Time (s)</td>
-<td align="left">4.0</td>
-<td align="left">Locked default</td>
-<td align="left">Locked default</td>
+<td>Door Actuation Time (s)</td>
+<td>Door Actuation Time (s)</td>
+<td>4.0</td>
+<td>Locked default</td>
+<td>Locked default</td>
 </tr>
 <tr class="odd">
-<td align="left">Smart Electrics</td>
-<td align="left">Smart Electrics</td>
-<td align="left">No (/Yes)</td>
-<td align="left">Open/editable</td>
-<td align="left">Open/OEM data</td>
+<td>Smart Electrics</td>
+<td>Smart Electrics</td>
+<td>No (/Yes)</td>
+<td>Open/editable</td>
+<td>Open/OEM data</td>
 </tr>
 </tbody>
 </table>
@@ -911,153 +927,153 @@ Version: VECTO 3.1 / VectoCore 3.1.0 / VectoCmd 3.1.0</p>
 </colgroup>
 <thead>
 <tr class="header">
-<th align="left">Category</th>
-<th align="left">Name</th>
-<th align="left">No. in Vehicle, Default Value</th>
-<th align="left">Engineering</th>
-<th align="left">Declaration</th>
+<th>Category</th>
+<th>Name</th>
+<th>No. in Vehicle, Default Value</th>
+<th>Engineering</th>
+<th>Declaration</th>
 </tr>
 </thead>
 <tbody>
 <tr class="odd">
-<td align="left">Doors</td>
-<td align="left">Doors per vehicle</td>
-<td align="left">3</td>
-<td align="left">Open/editable</td>
-<td align="left">Open/OEM data</td>
+<td>Doors</td>
+<td>Doors per vehicle</td>
+<td>3</td>
+<td>Open/editable</td>
+<td>Open/OEM data</td>
 </tr>
 <tr class="even">
-<td align="left">Veh Electronics &amp;Engine</td>
-<td align="left">Controllers, Valves, etc</td>
-<td align="left">1</td>
-<td align="left">Locked default</td>
-<td align="left">Locked default</td>
+<td>Veh Electronics &amp;Engine</td>
+<td>Controllers, Valves, etc</td>
+<td>1</td>
+<td>Locked default</td>
+<td>Locked default</td>
 </tr>
 <tr class="odd">
-<td align="left">Vehicle basic equipment</td>
-<td align="left">Radio City</td>
-<td align="left">1</td>
-<td align="left">Open/editable</td>
-<td align="left">Open/OEM data</td>
+<td>Vehicle basic equipment</td>
+<td>Radio City</td>
+<td>1</td>
+<td>Open/editable</td>
+<td>Open/OEM data</td>
 </tr>
 <tr class="even">
-<td align="left">Vehicle basic equipment</td>
-<td align="left">Radio Intercity</td>
-<td align="left">0</td>
-<td align="left">Open/editable</td>
-<td align="left">Open/OEM data</td>
+<td>Vehicle basic equipment</td>
+<td>Radio Intercity</td>
+<td>0</td>
+<td>Open/editable</td>
+<td>Open/OEM data</td>
 </tr>
 <tr class="odd">
-<td align="left">Vehicle basic equipment</td>
-<td align="left">Radio/Audio Tourism</td>
-<td align="left">0</td>
-<td align="left">Open/editable</td>
-<td align="left">Open/OEM data</td>
+<td>Vehicle basic equipment</td>
+<td>Radio/Audio Tourism</td>
+<td>0</td>
+<td>Open/editable</td>
+<td>Open/OEM data</td>
 </tr>
 <tr class="even">
-<td align="left">Vehicle basic equipment</td>
-<td align="left">Fridge</td>
-<td align="left">0</td>
-<td align="left">Open/editable</td>
-<td align="left">Open/OEM data</td>
+<td>Vehicle basic equipment</td>
+<td>Fridge</td>
+<td>0</td>
+<td>Open/editable</td>
+<td>Open/OEM data</td>
 </tr>
 <tr class="odd">
-<td align="left">Vehicle basic equipment</td>
-<td align="left">Kitchen Standard</td>
-<td align="left">0</td>
-<td align="left">Open/editable</td>
-<td align="left">Open/OEM data</td>
+<td>Vehicle basic equipment</td>
+<td>Kitchen Standard</td>
+<td>0</td>
+<td>Open/editable</td>
+<td>Open/OEM data</td>
 </tr>
 <tr class="even">
-<td align="left">Vehicle basic equipment</td>
-<td align="left">Interior lights City/ Intercity + Doorlights [1/m]</td>
-<td align="left">12</td>
-<td align="left">Open/editable</td>
-<td align="left">Locked default</td>
+<td>Vehicle basic equipment</td>
+<td>Interior lights City/ Intercity + Doorlights [1/m]</td>
+<td>12</td>
+<td>Open/editable</td>
+<td>Locked default</td>
 </tr>
 <tr class="odd">
-<td align="left">Vehicle basic equipment</td>
-<td align="left">LED Interior lights ceiling city/ontercity + door [1/m]</td>
-<td align="left">0</td>
-<td align="left">Open/editable</td>
-<td align="left">Locked default</td>
+<td>Vehicle basic equipment</td>
+<td>LED Interior lights ceiling city/ontercity + door [1/m]</td>
+<td>0</td>
+<td>Open/editable</td>
+<td>Locked default</td>
 </tr>
 <tr class="even">
-<td align="left">Vehicle basic equipment</td>
-<td align="left">Interior lights Tourism + reading [1/m]</td>
-<td align="left">0</td>
-<td align="left">Open/editable</td>
-<td align="left">Locked default</td>
+<td>Vehicle basic equipment</td>
+<td>Interior lights Tourism + reading [1/m]</td>
+<td>0</td>
+<td>Open/editable</td>
+<td>Locked default</td>
 </tr>
 <tr class="odd">
-<td align="left">Vehicle basic equipment</td>
-<td align="left">LED Interior lights ceiling Tourism + LED reading [1/m]</td>
-<td align="left">0</td>
-<td align="left">Open/editable</td>
-<td align="left">Locked default</td>
+<td>Vehicle basic equipment</td>
+<td>LED Interior lights ceiling Tourism + LED reading [1/m]</td>
+<td>0</td>
+<td>Open/editable</td>
+<td>Locked default</td>
 </tr>
 <tr class="even">
-<td align="left">Customer Specific Equipment</td>
-<td align="left">External Displays Font/Side/Rear</td>
-<td align="left">4</td>
-<td align="left">Open/editable</td>
-<td align="left">Open/OEM data</td>
+<td>Customer Specific Equipment</td>
+<td>External Displays Font/Side/Rear</td>
+<td>4</td>
+<td>Open/editable</td>
+<td>Open/OEM data</td>
 </tr>
 <tr class="odd">
-<td align="left">Customer Specific Equipment</td>
-<td align="left">Internal display per unit ( front side rear)</td>
-<td align="left">1</td>
-<td align="left">Open/editable</td>
-<td align="left">Open/OEM data</td>
+<td>Customer Specific Equipment</td>
+<td>Internal display per unit ( front side rear)</td>
+<td>1</td>
+<td>Open/editable</td>
+<td>Open/OEM data</td>
 </tr>
 <tr class="even">
-<td align="left">Customer Specific Equipment</td>
-<td align="left">CityBus Ref EBSF Table4 Devices ITS No Displays</td>
-<td align="left">1</td>
-<td align="left">Open/editable</td>
-<td align="left">Open/OEM data</td>
+<td>Customer Specific Equipment</td>
+<td>CityBus Ref EBSF Table4 Devices ITS No Displays</td>
+<td>1</td>
+<td>Open/editable</td>
+<td>Open/OEM data</td>
 </tr>
 <tr class="odd">
-<td align="left">Lights</td>
-<td align="left">Exterior Lights BULB</td>
-<td align="left">1</td>
-<td align="left">Locked default</td>
-<td align="left">Locked default</td>
+<td>Lights</td>
+<td>Exterior Lights BULB</td>
+<td>1</td>
+<td>Locked default</td>
+<td>Locked default</td>
 </tr>
 <tr class="even">
-<td align="left">Lights</td>
-<td align="left">Day running lights LED bonus</td>
-<td align="left">1</td>
-<td align="left">Open/editable</td>
-<td align="left">Open/OEM data</td>
+<td>Lights</td>
+<td>Day running lights LED bonus</td>
+<td>1</td>
+<td>Open/editable</td>
+<td>Open/OEM data</td>
 </tr>
 <tr class="odd">
-<td align="left">Lights</td>
-<td align="left">Antifog rear lights LED bonus</td>
-<td align="left">1</td>
-<td align="left">Open/editable</td>
-<td align="left">Open/OEM data</td>
+<td>Lights</td>
+<td>Antifog rear lights LED bonus</td>
+<td>1</td>
+<td>Open/editable</td>
+<td>Open/OEM data</td>
 </tr>
 <tr class="even">
-<td align="left">Lights</td>
-<td align="left">Position lights LED bonus</td>
-<td align="left">1</td>
-<td align="left">Open/editable</td>
-<td align="left">Open/OEM data</td>
+<td>Lights</td>
+<td>Position lights LED bonus</td>
+<td>1</td>
+<td>Open/editable</td>
+<td>Open/OEM data</td>
 </tr>
 <tr class="odd">
-<td align="left">Lights</td>
-<td align="left">Direction lights LED bonus</td>
-<td align="left">1</td>
-<td align="left">Open/editable</td>
-<td align="left">Open/OEM data</td>
+<td>Lights</td>
+<td>Direction lights LED bonus</td>
+<td>1</td>
+<td>Open/editable</td>
+<td>Open/OEM data</td>
 </tr>
 <tr class="even">
-<td align="left">Lights</td>
-<td align="left">Brake Lights LED bonus</td>
-<td align="left">1</td>
-<td align="left">Open/editable</td>
-<td align="left">Open/OEM data</td>
+<td>Lights</td>
+<td>Brake Lights LED bonus</td>
+<td>1</td>
+<td>Open/editable</td>
+<td>Open/OEM data</td>
 </tr>
 </tbody>
 </table>
@@ -1101,49 +1117,49 @@ Version: VECTO 3.1 / VectoCore 3.1.0 / VectoCmd 3.1.0</p>
 <table>
 <tbody>
 <tr class="odd">
-<td align="left"><em>RPM</em></td>
-<td align="left"><em>2000</em></td>
-<td align="left"><em>2000</em></td>
-<td align="left"><em>4000</em></td>
-<td align="left"><em>4000</em></td>
-<td align="left"><em>6000</em></td>
-<td align="left"><em>6000</em></td>
-</tr>
-<tr class="even">
-<td align="left"></td>
-<td align="left"><strong>Amps</strong></td>
-<td align="left"><strong>Efficiency</strong></td>
-<td align="left"><strong>Amps</strong></td>
-<td align="left"><strong>Efficiency</strong></td>
-<td align="left"><strong>Amps</strong></td>
-<td align="left"><strong>Efficiency</strong></td>
-</tr>
-<tr class="odd">
-<td align="left"></td>
-<td align="left"><strong>10.00</strong></td>
-<td align="left">62.00</td>
-<td align="left"><strong>10.00</strong></td>
-<td align="left">64.00</td>
-<td align="left"><strong>10.00</strong></td>
-<td align="left">53.00</td>
-</tr>
-<tr class="even">
-<td align="left">I_max/2</td>
-<td align="left">27.00</td>
-<td align="left">70.00</td>
-<td align="left">63.00</td>
-<td align="left">74.00</td>
-<td align="left">68.00</td>
-<td align="left">70.00</td>
-</tr>
-<tr class="odd">
-<td align="left">I_max</td>
-<td align="left">53.00</td>
-<td align="left">30.00</td>
-<td align="left">125.00</td>
-<td align="left">68.00</td>
-<td align="left">136.00</td>
-<td align="left">62.00</td>
+<td><em>RPM</em></td>
+<td><em>2000</em></td>
+<td><em>2000</em></td>
+<td><em>4000</em></td>
+<td><em>4000</em></td>
+<td><em>6000</em></td>
+<td><em>6000</em></td>
+</tr>
+<tr class="even">
+<td></td>
+<td><strong>Amps</strong></td>
+<td><strong>Efficiency</strong></td>
+<td><strong>Amps</strong></td>
+<td><strong>Efficiency</strong></td>
+<td><strong>Amps</strong></td>
+<td><strong>Efficiency</strong></td>
+</tr>
+<tr class="odd">
+<td></td>
+<td><strong>10.00</strong></td>
+<td>62.00</td>
+<td><strong>10.00</strong></td>
+<td>64.00</td>
+<td><strong>10.00</strong></td>
+<td>53.00</td>
+</tr>
+<tr class="even">
+<td>I_max/2</td>
+<td>27.00</td>
+<td>70.00</td>
+<td>63.00</td>
+<td>74.00</td>
+<td>68.00</td>
+<td>70.00</td>
+</tr>
+<tr class="odd">
+<td>I_max</td>
+<td>53.00</td>
+<td>30.00</td>
+<td>125.00</td>
+<td>68.00</td>
+<td>136.00</td>
+<td>62.00</td>
 </tr>
 </tbody>
 </table>
@@ -1193,96 +1209,97 @@ Version: VECTO 3.1 / VectoCore 3.1.0 / VectoCmd 3.1.0</p>
 </colgroup>
 <thead>
 <tr class="header">
-<th align="left">Category</th>
-<th align="left">Default value</th>
-<th align="left">Engineering</th>
-<th align="left">Declaration</th>
-<th align="left">Comments</th>
+<th>Category</th>
+<th>Default value</th>
+<th>Engineering</th>
+<th>Declaration</th>
+<th>Comments</th>
 </tr>
 </thead>
 <tbody>
 <tr class="odd">
-<td align="left">AdBlue NI per minute</td>
-<td align="left">21.25</td>
-<td align="left">Open/editable</td>
-<td align="left">Locked default</td>
-<td align="left">Only relevant for Pneumatic AdBlue Dosing, also needs drive cycle duration</td>
+<td>AdBlue NI per minute</td>
+<td>21.25</td>
+<td>Open/editable</td>
+<td>Locked default</td>
+<td>Only relevant for Pneumatic AdBlue Dosing, also needs drive cycle duration</td>
 </tr>
 <tr class="even">
-<td align="left">Air Controlled Suspension NI/Minute</td>
-<td align="left">15</td>
-<td align="left">Open/editable</td>
-<td align="left">Locked default</td>
-<td align="left">Only relevant for Pneumatic Air Suspension Control, also needs drive cycle duration</td>
+<td>Air Controlled Suspension NI/Minute</td>
+<td>15</td>
+<td>Open/editable</td>
+<td>Locked default</td>
+<td>Only relevant for Pneumatic Air Suspension Control, also needs drive cycle duration</td>
 </tr>
 <tr class="odd">
-<td align="left">Breaking No Retarder NI/KG</td>
-<td align="left">0.00081</td>
-<td align="left">Open/editable</td>
-<td align="left">Locked default</td>
-<td align="left">also needs vehicle weight</td>
+<td>Breaking No Retarder NI/KG</td>
+<td>0.00081</td>
+<td>Open/editable</td>
+<td>Locked default</td>
+<td>also needs vehicle weight</td>
 </tr>
 <tr class="even">
-<td align="left">Braking with Retarder NI/KG</td>
-<td align="left">0.0006</td>
-<td align="left">Open/editable</td>
-<td align="left">Locked default</td>
-<td align="left">Also needs vehicle weight</td>
+<td>Braking with Retarder NI/KG</td>
+<td>0.0006</td>
+<td>Open/editable</td>
+<td>Locked default</td>
+<td>Also needs vehicle weight</td>
 </tr>
 <tr class="odd">
-<td align="left">Air demand per Kneeling NI/Kg mm</td>
-<td align="left">0.000066</td>
-<td align="left">Open/editable</td>
-<td align="left">Locked default</td>
-<td align="left">Also needs vehicle weight and kneeling height</td>
+<td>Air demand per Kneeling NI/Kg mm</td>
+<td>0.000066</td>
+<td>Open/editable</td>
+<td>Locked default</td>
+<td>Also needs vehicle weight and kneeling height</td>
 </tr>
 <tr class="even">
-<td align="left">Dead Vol Blowouts/L/Hour</td>
-<td align="left">24</td>
-<td align="left">Open/editable</td>
-<td align="left">Locked default</td>
-<td align="left"></td>
+<td>Dead Vol Blowouts/L/Hour</td>
+<td>24</td>
+<td>Open/editable</td>
+<td>Locked default</td>
+<td></td>
 </tr>
 <tr class="odd">
-<td align="left">Dead Volume Litres</td>
-<td align="left">30</td>
-<td align="left">Open/editable</td>
-<td align="left">Locked default</td>
-<td align="left"></td>
+<td>Dead Volume Litres</td>
+<td>30</td>
+<td>Open/editable</td>
+<td>Locked default</td>
+<td></td>
 </tr>
 <tr class="even">
-<td align="left">Non Smart Regen Fraction Total Air Demand</td>
-<td align="left">0.26</td>
-<td align="left">Open/editable</td>
-<td align="left">Locked default</td>
-<td align="left"></td>
+<td>Non Smart Regen Fraction Total Air Demand</td>
+<td>0.26</td>
+<td>Open/editable</td>
+<td>Locked default</td>
+<td></td>
 </tr>
 <tr class="odd">
-<td align="left">Overrun Utilisation for Compression Fraction</td>
-<td align="left">0.97</td>
-<td align="left">Open/editable</td>
-<td align="left">Locked default</td>
-<td align="left">Taken directly from White Book</td>
+<td>Overrun Utilisation for Compression Fraction</td>
+<td>0.97</td>
+<td>Open/editable</td>
+<td>Locked default</td>
+<td>Taken directly from White Book</td>
 </tr>
 <tr class="even">
-<td align="left">Per Door Opening NI</td>
-<td align="left">12.7</td>
-<td align="left">Open/editable</td>
-<td align="left">Locked default</td>
-<td align="left">Only relevant for Pneumatic Door Operation, also needs number of door openings</td>
+<td>Per Door Opening NI</td>
+<td>12.7</td>
+<td>Open/editable</td>
+<td>Locked default</td>
+<td>Only relevant for Pneumatic Door Operation, also needs number of door openings</td>
 </tr>
 <tr class="odd">
-<td align="left">Per Stop Brake Actuation NI/KG</td>
-<td align="left">0.00064</td>
-<td align="left">Open/editable</td>
-<td align="left">Locked default</td>
-<td align="left">Also needs vehicle weight</td>
+<td>Per Stop Brake Actuation NI/KG</td>
+<td>0.00064</td>
+<td>Open/editable</td>
+<td>Locked default</td>
+<td>Also needs vehicle weight</td>
 </tr>
 <tr class="even">
-<td align="left">Smart Regen Fraction Total Air Demand</td>
-<td align="left">0.12</td>
-<td align="left">Open/editable</td>
-<td align="left">Locked default</td>
+<td>Smart Regen Fraction Total Air Demand</td>
+<td>0.12</td>
+<td>Open/editable</td>
+<td>Locked default</td>
+<td></td>
 </tr>
 </tbody>
 </table>
@@ -1297,90 +1314,90 @@ Version: VECTO 3.1 / VectoCore 3.1.0 / VectoCmd 3.1.0</p>
 </colgroup>
 <thead>
 <tr class="header">
-<th align="left">Category</th>
-<th align="left">Default value</th>
-<th align="left">Engineering</th>
-<th align="left">Declaration</th>
-<th align="left">Comments</th>
+<th>Category</th>
+<th>Default value</th>
+<th>Engineering</th>
+<th>Declaration</th>
+<th>Comments</th>
 </tr>
 </thead>
 <tbody>
 <tr class="odd">
-<td align="left">Compressor Map</td>
-<td align="left"><blank></td>
-<td align="left">Open/editable</td>
-<td align="left">Locked default</td>
-<td align="left">A number of pre-set defaults will be provided; later value from test procedure.</td>
+<td>Compressor Map</td>
+<td><blank></td>
+<td>Open/editable</td>
+<td>Locked default</td>
+<td>A number of pre-set defaults will be provided; later value from test procedure.</td>
 </tr>
 <tr class="even">
-<td align="left">Compressor Gear Ratio</td>
-<td align="left">1.00</td>
-<td align="left">Open/editable</td>
-<td align="left">Open/OEM data</td>
-<td align="left">Related compressor shaft speed to engine shaft speed</td>
+<td>Compressor Gear Ratio</td>
+<td>1.00</td>
+<td>Open/editable</td>
+<td>Open/OEM data</td>
+<td>Related compressor shaft speed to engine shaft speed</td>
 </tr>
 <tr class="odd">
-<td align="left">Compressor Gear Efficiency</td>
-<td align="left">0.97</td>
-<td align="left">Open/editable</td>
-<td align="left">Locked default</td>
-<td align="left"></td>
+<td>Compressor Gear Efficiency</td>
+<td>0.97</td>
+<td>Open/editable</td>
+<td>Locked default</td>
+<td></td>
 </tr>
 <tr class="even">
-<td align="left">AdBlue Dosing</td>
-<td align="left">Pneumatic</td>
-<td align="left">Open/editable</td>
-<td align="left">Open/OEM data</td>
-<td align="left">Pneumatic (/Electric)</td>
+<td>AdBlue Dosing</td>
+<td>Pneumatic</td>
+<td>Open/editable</td>
+<td>Open/OEM data</td>
+<td>Pneumatic (/Electric)</td>
 </tr>
 <tr class="odd">
-<td align="left">Air Suspension Control</td>
-<td align="left">Mechanically</td>
-<td align="left">Open/editable</td>
-<td align="left">Open/OEM data</td>
-<td align="left">Mechanically (/Electrically)</td>
+<td>Air Suspension Control</td>
+<td>Mechanically</td>
+<td>Open/editable</td>
+<td>Open/OEM data</td>
+<td>Mechanically (/Electrically)</td>
 </tr>
 <tr class="even">
-<td align="left">Door Operation</td>
-<td align="left">Pneumatic</td>
-<td align="left">Open/editable</td>
-<td align="left">Open/OEM data</td>
-<td align="left">Pneumatic (/Electric)</td>
+<td>Door Operation</td>
+<td>Pneumatic</td>
+<td>Open/editable</td>
+<td>Open/OEM data</td>
+<td>Pneumatic (/Electric)</td>
 </tr>
 <tr class="odd">
-<td align="left">Kneeling height millimeters</td>
-<td align="left">70</td>
-<td align="left">Open/editable</td>
-<td align="left">Open/OEM data</td>
-<td align="left">Used with air demand per kneeling</td>
+<td>Kneeling height millimeters</td>
+<td>70</td>
+<td>Open/editable</td>
+<td>Open/OEM data</td>
+<td>Used with air demand per kneeling</td>
 </tr>
 <tr class="even">
-<td align="left">Actuations Map</td>
-<td align="left">testPneumatic</td>
-<td align="left">ActuationsMap</td>
-<td align="left">Open/editable</td>
-<td align="left">Locked default</td>
+<td>Actuations Map</td>
+<td>testPneumatic</td>
+<td>ActuationsMap</td>
+<td>Open/editable</td>
+<td>Locked default</td>
 </tr>
 <tr class="odd">
-<td align="left">Retarder brake</td>
-<td align="left">Yes</td>
-<td align="left">Open/editable</td>
-<td align="left">Open/OEM data</td>
-<td align="left">Yes (/No)</td>
+<td>Retarder brake</td>
+<td>Yes</td>
+<td>Open/editable</td>
+<td>Open/OEM data</td>
+<td>Yes (/No)</td>
 </tr>
 <tr class="even">
-<td align="left">Smart Pneumatics</td>
-<td align="left">No</td>
-<td align="left">Open/editable</td>
-<td align="left">Open/OEM data</td>
-<td align="left">No (/Yes)</td>
+<td>Smart Pneumatics</td>
+<td>No</td>
+<td>Open/editable</td>
+<td>Open/OEM data</td>
+<td>No (/Yes)</td>
 </tr>
 <tr class="odd">
-<td align="left">Smart Regeneration</td>
-<td align="left">No</td>
-<td align="left">Open/editable</td>
-<td align="left">Open/OEM data</td>
-<td align="left">No (/Yes)</td>
+<td>Smart Regeneration</td>
+<td>No</td>
+<td>Open/editable</td>
+<td>Open/OEM data</td>
+<td>No (/Yes)</td>
 </tr>
 </tbody>
 </table>
@@ -1467,84 +1484,84 @@ Version: VECTO 3.1 / VectoCore 3.1.0 / VectoCmd 3.1.0</p>
 <table>
 <thead>
 <tr class="header">
-<th align="left">Category/Input</th>
-<th align="left">Default value</th>
-<th align="left">Engineering</th>
-<th align="left">Declaration</th>
+<th>Category/Input</th>
+<th>Default value</th>
+<th>Engineering</th>
+<th>Declaration</th>
 </tr>
 </thead>
 <tbody>
 <tr class="odd">
-<td align="left">Select</td>
-<td align="left">&lt;Select&gt;</td>
-<td align="left"></td>
-<td align="left"></td>
+<td>Select</td>
+<td>&lt;Select&gt;</td>
+<td></td>
+<td></td>
 </tr>
 <tr class="even">
-<td align="left">Bus Model</td>
-<td align="left"><ABDB or input></td>
-<td align="left">Open/editable</td>
-<td align="left">Locked default</td>
+<td>Bus Model</td>
+<td><ABDB or input></td>
+<td>Open/editable</td>
+<td>Locked default</td>
 </tr>
 <tr class="odd">
-<td align="left">Number of Passengers</td>
-<td align="left">&lt;ABDB or input&gt;</td>
-<td align="left">Open/editable</td>
-<td align="left">Locked default</td>
+<td>Number of Passengers</td>
+<td>&lt;ABDB or input&gt;</td>
+<td>Open/editable</td>
+<td>Locked default</td>
 </tr>
 <tr class="even">
-<td align="left">Bus Type</td>
-<td align="left"><ABDB or input></td>
-<td align="left">Open/editable</td>
-<td align="left">Locked default</td>
+<td>Bus Type</td>
+<td><ABDB or input></td>
+<td>Open/editable</td>
+<td>Locked default</td>
 </tr>
 <tr class="odd">
-<td align="left">Double Decker?</td>
-<td align="left">No</td>
-<td align="left">Open/editable</td>
-<td align="left">Open/OEM data</td>
+<td>Double Decker?</td>
+<td>No</td>
+<td>Open/editable</td>
+<td>Open/OEM data</td>
 </tr>
 <tr class="even">
-<td align="left">Bus Length (m)</td>
-<td align="left">&lt;ABDB or input&gt;</td>
-<td align="left">Open/editable</td>
-<td align="left">Locked default</td>
+<td>Bus Length (m)</td>
+<td>&lt;ABDB or input&gt;</td>
+<td>Open/editable</td>
+<td>Locked default</td>
 </tr>
 <tr class="odd">
-<td align="left">Bus Width (m)</td>
-<td align="left">&lt;ABDB or input&gt;</td>
-<td align="left">Open/editable</td>
-<td align="left">Locked default</td>
+<td>Bus Width (m)</td>
+<td>&lt;ABDB or input&gt;</td>
+<td>Open/editable</td>
+<td>Locked default</td>
 </tr>
 <tr class="even">
-<td align="left">Bus Height (m)</td>
-<td align="left">&lt;ABDB or input&gt;</td>
-<td align="left">Open/editable</td>
-<td align="left">Locked Calc</td>
+<td>Bus Height (m)</td>
+<td>&lt;ABDB or input&gt;</td>
+<td>Open/editable</td>
+<td>Locked Calc</td>
 </tr>
 <tr class="odd">
-<td align="left">Bus Floor Surface Area (m^2)</td>
-<td align="left">Calculation</td>
-<td align="left">Locked Calc</td>
-<td align="left">Locked Calc</td>
+<td>Bus Floor Surface Area (m^2)</td>
+<td>Calculation</td>
+<td>Locked Calc</td>
+<td>Locked Calc</td>
 </tr>
 <tr class="even">
-<td align="left">Bus Window Surface (m^2)</td>
-<td align="left">Calculation</td>
-<td align="left">Locked Calc</td>
-<td align="left">Locked Calc</td>
+<td>Bus Window Surface (m^2)</td>
+<td>Calculation</td>
+<td>Locked Calc</td>
+<td>Locked Calc</td>
 </tr>
 <tr class="odd">
-<td align="left">Bus Surface Area (m^2)</td>
-<td align="left">Calculation</td>
-<td align="left">Locked Calc</td>
-<td align="left">Locked Calc</td>
+<td>Bus Surface Area (m^2)</td>
+<td>Calculation</td>
+<td>Locked Calc</td>
+<td>Locked Calc</td>
 </tr>
 <tr class="even">
-<td align="left">Bus Volume (m^3)</td>
-<td align="left">Calculation</td>
-<td align="left">Locked Calc</td>
-<td align="left">Locked Calc</td>
+<td>Bus Volume (m^3)</td>
+<td>Calculation</td>
+<td>Locked Calc</td>
+<td>Locked Calc</td>
 </tr>
 </tbody>
 </table>
@@ -1559,162 +1576,162 @@ Version: VECTO 3.1 / VectoCore 3.1.0 / VectoCmd 3.1.0</p>
 </colgroup>
 <thead>
 <tr class="header">
-<th align="left">Category/Input</th>
-<th align="left">Default value</th>
-<th align="left">Engineering</th>
-<th align="left">Declaration</th>
+<th>Category/Input</th>
+<th>Default value</th>
+<th>Engineering</th>
+<th>Declaration</th>
 </tr>
 </thead>
 <tbody>
 <tr class="odd">
-<td align="left">G-Factor **</td>
-<td align="left">0.95</td>
-<td align="left">Open/editable</td>
-<td align="left">Open/editable</td>
+<td>G-Factor **</td>
+<td>0.95</td>
+<td>Open/editable</td>
+<td>Open/editable</td>
 </tr>
 <tr class="even">
-<td align="left">Solar Clouding</td>
-<td align="left">0.8</td>
-<td align="left">Locked Calc</td>
-<td align="left">Locked Calc</td>
+<td>Solar Clouding</td>
+<td>0.8</td>
+<td>Locked Calc</td>
+<td>Locked Calc</td>
 </tr>
 <tr class="odd">
-<td align="left">Heat per Passenger into Cabin (W)</td>
-<td align="left">80</td>
-<td align="left">Locked Calc</td>
-<td align="left">Locked Calc</td>
+<td>Heat per Passenger into Cabin (W)</td>
+<td>80</td>
+<td>Locked Calc</td>
+<td>Locked Calc</td>
 </tr>
 <tr class="even">
-<td align="left">Passenger Boundary Temperature (oC)</td>
-<td align="left">12</td>
-<td align="left">Open/editable</td>
-<td align="left">Locked default</td>
+<td>Passenger Boundary Temperature (oC)</td>
+<td>12</td>
+<td>Open/editable</td>
+<td>Locked default</td>
 </tr>
 <tr class="odd">
-<td align="left">Passenger Density: Low Floor (Pass/m^2)</td>
-<td align="left">3</td>
-<td align="left">Locked Calc</td>
-<td align="left">Locked default</td>
+<td>Passenger Density: Low Floor (Pass/m^2)</td>
+<td>3</td>
+<td>Locked Calc</td>
+<td>Locked default</td>
 </tr>
 <tr class="even">
-<td align="left">Passenger Density: Semi Low Floor (Pass/m^2)</td>
-<td align="left">2.2</td>
-<td align="left">Locked Calc</td>
-<td align="left">Locked default</td>
+<td>Passenger Density: Semi Low Floor (Pass/m^2)</td>
+<td>2.2</td>
+<td>Locked Calc</td>
+<td>Locked default</td>
 </tr>
 <tr class="odd">
-<td align="left">Passenger Density: Raised Floor (Pass/m^2)</td>
-<td align="left">1.4</td>
-<td align="left">Locked Calc</td>
-<td align="left">Locked default</td>
+<td>Passenger Density: Raised Floor (Pass/m^2)</td>
+<td>1.4</td>
+<td>Locked Calc</td>
+<td>Locked default</td>
 </tr>
 <tr class="even">
-<td align="left">Calculated Passenger Number</td>
-<td align="left">Calculation</td>
-<td align="left">Locked Calc</td>
-<td align="left">Locked Calc</td>
+<td>Calculated Passenger Number</td>
+<td>Calculation</td>
+<td>Locked Calc</td>
+<td>Locked Calc</td>
 </tr>
 <tr class="odd">
-<td align="left">U-Values W/(K*m^3)</td>
-<td align="left">Calculation</td>
-<td align="left">Locked Calc</td>
-<td align="left">Locked Calc</td>
+<td>U-Values W/(K*m^3)</td>
+<td>Calculation</td>
+<td>Locked Calc</td>
+<td>Locked Calc</td>
 </tr>
 <tr class="even">
-<td align="left">Heating Boundary Temperature (oC)</td>
-<td align="left">18</td>
-<td align="left">Open/editable</td>
-<td align="left">Locked default</td>
+<td>Heating Boundary Temperature (oC)</td>
+<td>18</td>
+<td>Open/editable</td>
+<td>Locked default</td>
 </tr>
 <tr class="odd">
-<td align="left">Cooling Boundary Temperature (oC)</td>
-<td align="left">23</td>
-<td align="left">Open/editable</td>
-<td align="left">Locked default</td>
+<td>Cooling Boundary Temperature (oC)</td>
+<td>23</td>
+<td>Open/editable</td>
+<td>Locked default</td>
 </tr>
 <tr class="even">
-<td align="left">Temperature at which cooling turns OFF</td>
-<td align="left">17</td>
-<td align="left">Locked default</td>
-<td align="left"></td>
+<td>Temperature at which cooling turns OFF</td>
+<td>17</td>
+<td>Locked default</td>
+<td></td>
 </tr>
 <tr class="odd">
-<td align="left">High Ventilation (l/h)</td>
-<td align="left">20</td>
-<td align="left">Open/editable</td>
-<td align="left">Locked default</td>
+<td>High Ventilation (l/h)</td>
+<td>20</td>
+<td>Open/editable</td>
+<td>Locked default</td>
 </tr>
 <tr class="even">
-<td align="left">How Ventilation (l/h)</td>
-<td align="left">7</td>
-<td align="left">Open/editable</td>
-<td align="left">Locked default</td>
+<td>How Ventilation (l/h)</td>
+<td>7</td>
+<td>Open/editable</td>
+<td>Locked default</td>
 </tr>
 <tr class="odd">
-<td align="left">High (m^3/h)</td>
-<td align="left">Calculation</td>
-<td align="left">Locked Calc</td>
-<td align="left">Locked Calc</td>
+<td>High (m^3/h)</td>
+<td>Calculation</td>
+<td>Locked Calc</td>
+<td>Locked Calc</td>
 </tr>
 <tr class="even">
-<td align="left">low (m^3/h)</td>
-<td align="left">Calculation</td>
-<td align="left">Locked Calc</td>
-<td align="left">Locked Calc</td>
+<td>low (m^3/h)</td>
+<td>Calculation</td>
+<td>Locked Calc</td>
+<td>Locked Calc</td>
 </tr>
 <tr class="odd">
-<td align="left">High Vent Power (W)</td>
-<td align="left">Calculation</td>
-<td align="left">Locked Calc</td>
-<td align="left">Locked Calc</td>
+<td>High Vent Power (W)</td>
+<td>Calculation</td>
+<td>Locked Calc</td>
+<td>Locked Calc</td>
 </tr>
 <tr class="even">
-<td align="left">Low Vent Power (W)</td>
-<td align="left">Calculation</td>
-<td align="left">Locked Calc</td>
-<td align="left">Locked Calc</td>
+<td>Low Vent Power (W)</td>
+<td>Calculation</td>
+<td>Locked Calc</td>
+<td>Locked Calc</td>
 </tr>
 <tr class="odd">
-<td align="left">Specific Ventilation Power (Wh/m3)</td>
-<td align="left">0.56</td>
-<td align="left">Open/editable</td>
-<td align="left">Locked default</td>
+<td>Specific Ventilation Power (Wh/m3)</td>
+<td>0.56</td>
+<td>Open/editable</td>
+<td>Locked default</td>
 </tr>
 <tr class="even">
-<td align="left">Aux. Heater Efficiency</td>
-<td align="left">0.84</td>
-<td align="left">Open/editable</td>
-<td align="left">Locked default</td>
+<td>Aux. Heater Efficiency</td>
+<td>0.84</td>
+<td>Open/editable</td>
+<td>Locked default</td>
 </tr>
 <tr class="odd">
-<td align="left">GCV (Diesel / Heating oil) (kwh/kg)</td>
-<td align="left">11.8</td>
-<td align="left">Open/editable</td>
-<td align="left">Locked default</td>
+<td>GCV (Diesel / Heating oil) (kwh/kg)</td>
+<td>11.8</td>
+<td>Open/editable</td>
+<td>Locked default</td>
 </tr>
 <tr class="even">
-<td align="left">Window Area per Unit Bus Length (m^2/m)</td>
-<td align="left">Calculation</td>
-<td align="left">Locked Calc</td>
-<td align="left">Locked Calc</td>
+<td>Window Area per Unit Bus Length (m^2/m)</td>
+<td>Calculation</td>
+<td>Locked Calc</td>
+<td>Locked Calc</td>
 </tr>
 <tr class="odd">
-<td align="left">Front + Rear Window Area (m^2)</td>
-<td align="left">Calculation</td>
-<td align="left">Locked Calc</td>
-<td align="left">Locked Calc</td>
+<td>Front + Rear Window Area (m^2)</td>
+<td>Calculation</td>
+<td>Locked Calc</td>
+<td>Locked Calc</td>
 </tr>
 <tr class="even">
-<td align="left">Max Temperature Delta for low Floor Busses (K)</td>
-<td align="left">3</td>
-<td align="left">Open/editable</td>
-<td align="left">Locked default</td>
+<td>Max Temperature Delta for low Floor Busses (K)</td>
+<td>3</td>
+<td>Open/editable</td>
+<td>Locked default</td>
 </tr>
 <tr class="odd">
-<td align="left">Max Possible Benefit from Technology List (Fraction)</td>
-<td align="left">0.5</td>
-<td align="left">Open/editable</td>
-<td align="left">Locked default</td>
+<td>Max Possible Benefit from Technology List (Fraction)</td>
+<td>0.5</td>
+<td>Open/editable</td>
+<td>Locked default</td>
 </tr>
 </tbody>
 </table>
@@ -1723,36 +1740,36 @@ Version: VECTO 3.1 / VectoCore 3.1.0 / VectoCmd 3.1.0</p>
 <table>
 <thead>
 <tr class="header">
-<th align="left">Category/Input</th>
-<th align="left">Default value</th>
-<th align="left">Engineering</th>
-<th align="left">Declaration</th>
+<th>Category/Input</th>
+<th>Default value</th>
+<th>Engineering</th>
+<th>Declaration</th>
 </tr>
 </thead>
 <tbody>
 <tr class="odd">
-<td align="left">Enviromental Temperature (oC)</td>
-<td align="left">25</td>
-<td align="left">Open/editable</td>
-<td align="left">Locked default</td>
+<td>Enviromental Temperature (oC)</td>
+<td>25</td>
+<td>Open/editable</td>
+<td>Locked default</td>
 </tr>
 <tr class="even">
-<td align="left">Solar (W/m²)</td>
-<td align="left">400</td>
-<td align="left">Open/editable</td>
-<td align="left">Locked default</td>
+<td>Solar (W/m²)</td>
+<td>400</td>
+<td>Open/editable</td>
+<td>Locked default</td>
 </tr>
 <tr class="odd">
-<td align="left">Batch-mode</td>
-<td align="left">ON</td>
-<td align="left">Open/editable</td>
-<td align="left">Locked default</td>
+<td>Batch-mode</td>
+<td>ON</td>
+<td>Open/editable</td>
+<td>Locked default</td>
 </tr>
 <tr class="even">
-<td align="left">Environmental Conditions Database</td>
-<td align="left">TBC Default</td>
-<td align="left">Open/editable</td>
-<td align="left">Locked default</td>
+<td>Environmental Conditions Database</td>
+<td>TBC Default</td>
+<td>Open/editable</td>
+<td>Locked default</td>
 </tr>
 </tbody>
 </table>
@@ -1766,36 +1783,36 @@ Version: VECTO 3.1 / VectoCore 3.1.0 / VectoCmd 3.1.0</p>
 </colgroup>
 <thead>
 <tr class="header">
-<th align="left">Category/Input</th>
-<th align="left">Default value</th>
-<th align="left">Engineering</th>
-<th align="left">Declaration</th>
+<th>Category/Input</th>
+<th>Default value</th>
+<th>Engineering</th>
+<th>Declaration</th>
 </tr>
 </thead>
 <tbody>
 <tr class="odd">
-<td align="left">AC-compressor type</td>
-<td align="left">2-stage (0/100)</td>
-<td align="left">Open/editable</td>
-<td align="left">Open/OEM data</td>
+<td>AC-compressor type</td>
+<td>2-stage (0/100)</td>
+<td>Open/editable</td>
+<td>Open/OEM data</td>
 </tr>
 <tr class="even">
-<td align="left">AC-compressor type (Mechanical / Electrical)</td>
-<td align="left">Calculation</td>
-<td align="left">Locked Calc</td>
-<td align="left">Locked Calc</td>
+<td>AC-compressor type (Mechanical / Electrical)</td>
+<td>Calculation</td>
+<td>Locked Calc</td>
+<td>Locked Calc</td>
 </tr>
 <tr class="odd">
-<td align="left">AC-compressor capacity (kW)</td>
-<td align="left">18</td>
-<td align="left">Open/editable</td>
-<td align="left">Locked default</td>
+<td>AC-compressor capacity (kW)</td>
+<td>18</td>
+<td>Open/editable</td>
+<td>Locked default</td>
 </tr>
 <tr class="even">
-<td align="left">COPCool</td>
-<td align="left">3.50</td>
-<td align="left">Locked Calc</td>
-<td align="left">Locked Calc</td>
+<td>COPCool</td>
+<td>3.50</td>
+<td>Locked Calc</td>
+<td>Locked Calc</td>
 </tr>
 </tbody>
 </table>
@@ -1809,48 +1826,48 @@ Version: VECTO 3.1 / VectoCore 3.1.0 / VectoCmd 3.1.0</p>
 </colgroup>
 <thead>
 <tr class="header">
-<th align="left">Category/Input</th>
-<th align="left">Default value</th>
-<th align="left">Engineering</th>
-<th align="left">Declaration</th>
+<th>Category/Input</th>
+<th>Default value</th>
+<th>Engineering</th>
+<th>Declaration</th>
 </tr>
 </thead>
 <tbody>
 <tr class="odd">
-<td align="left">Ventilation during heating</td>
-<td align="left">Yes</td>
-<td align="left">Open/editable</td>
-<td align="left">Locked default</td>
+<td>Ventilation during heating</td>
+<td>Yes</td>
+<td>Open/editable</td>
+<td>Locked default</td>
 </tr>
 <tr class="even">
-<td align="left">Ventilation when both Heating and AC are inactive</td>
-<td align="left">Yes</td>
-<td align="left">Open/editable</td>
-<td align="left">Locked default</td>
+<td>Ventilation when both Heating and AC are inactive</td>
+<td>Yes</td>
+<td>Open/editable</td>
+<td>Locked default</td>
 </tr>
 <tr class="odd">
-<td align="left">Ventilation during AC</td>
-<td align="left">Yes</td>
-<td align="left">Open/editable</td>
-<td align="left">Locked default</td>
+<td>Ventilation during AC</td>
+<td>Yes</td>
+<td>Open/editable</td>
+<td>Locked default</td>
 </tr>
 <tr class="even">
-<td align="left">Ventilation flow setting when both Heating and AC are inactive</td>
-<td align="left">High</td>
-<td align="left">Open/editable</td>
-<td align="left">Locked default***</td>
+<td>Ventilation flow setting when both Heating and AC are inactive</td>
+<td>High</td>
+<td>Open/editable</td>
+<td>Locked default***</td>
 </tr>
 <tr class="odd">
-<td align="left">Ventilation during Heating</td>
-<td align="left">High</td>
-<td align="left">Open/editable</td>
-<td align="left">Locked default***</td>
+<td>Ventilation during Heating</td>
+<td>High</td>
+<td>Open/editable</td>
+<td>Locked default***</td>
 </tr>
 <tr class="even">
-<td align="left">Ventilation during Cooling</td>
-<td align="left">High</td>
-<td align="left">Open/editable</td>
-<td align="left">Locked default***</td>
+<td>Ventilation during Cooling</td>
+<td>High</td>
+<td>Open/editable</td>
+<td>Locked default***</td>
 </tr>
 </tbody>
 </table>
@@ -1858,18 +1875,18 @@ Version: VECTO 3.1 / VectoCore 3.1.0 / VectoCmd 3.1.0</p>
 <table>
 <thead>
 <tr class="header">
-<th align="left">Category/Input</th>
-<th align="left">Default value</th>
-<th align="left">Engineering</th>
-<th align="left">Declaration</th>
+<th>Category/Input</th>
+<th>Default value</th>
+<th>Engineering</th>
+<th>Declaration</th>
 </tr>
 </thead>
 <tbody>
 <tr class="odd">
-<td align="left">Fuel Fired Heater (kW)</td>
-<td align="left">30</td>
-<td align="left">Open/editable</td>
-<td align="left">Open/OEM data</td>
+<td>Fuel Fired Heater (kW)</td>
+<td>30</td>
+<td>Open/editable</td>
+<td>Open/OEM data</td>
 </tr>
 </tbody>
 </table>
@@ -1878,24 +1895,24 @@ Version: VECTO 3.1 / VectoCore 3.1.0 / VectoCmd 3.1.0</p>
 <table>
 <thead>
 <tr class="header">
-<th align="left">Category/Input</th>
-<th align="left">Default value</th>
-<th align="left">Engineering</th>
-<th align="left">Declaration</th>
+<th>Category/Input</th>
+<th>Default value</th>
+<th>Engineering</th>
+<th>Declaration</th>
 </tr>
 </thead>
 <tbody>
 <tr class="odd">
-<td align="left">Double-glazing</td>
-<td align="left">TF5 table*</td>
-<td align="left">Open/editable</td>
-<td align="left">Tick box only</td>
+<td>Double-glazing</td>
+<td>TF5 table*</td>
+<td>Open/editable</td>
+<td>Tick box only</td>
 </tr>
 <tr class="even">
-<td align="left">Tinted windows</td>
-<td align="left">TF5 table*</td>
-<td align="left">Open/editable</td>
-<td align="left">Tick box only</td>
+<td>Tinted windows</td>
+<td>TF5 table*</td>
+<td>Open/editable</td>
+<td>Tick box only</td>
 </tr>
 </tbody>
 </table>
@@ -1903,18 +1920,18 @@ Version: VECTO 3.1 / VectoCore 3.1.0 / VectoCmd 3.1.0</p>
 <table>
 <thead>
 <tr class="header">
-<th align="left">Category/Input</th>
-<th align="left">Default value</th>
-<th align="left">Engineering</th>
-<th align="left">Declaration</th>
+<th>Category/Input</th>
+<th>Default value</th>
+<th>Engineering</th>
+<th>Declaration</th>
 </tr>
 </thead>
 <tbody>
 <tr class="odd">
-<td align="left">Fan controll strategy</td>
-<td align="left">TF5 table*</td>
-<td align="left">Open/editable</td>
-<td align="left">Tick box only</td>
+<td>Fan controll strategy</td>
+<td>TF5 table*</td>
+<td>Open/editable</td>
+<td>Tick box only</td>
 </tr>
 </tbody>
 </table>
@@ -1922,36 +1939,36 @@ Version: VECTO 3.1 / VectoCore 3.1.0 / VectoCmd 3.1.0</p>
 <table>
 <thead>
 <tr class="header">
-<th align="left">Category/Input</th>
-<th align="left">Default value</th>
-<th align="left">Engineering</th>
-<th align="left">Declaration</th>
+<th>Category/Input</th>
+<th>Default value</th>
+<th>Engineering</th>
+<th>Declaration</th>
 </tr>
 </thead>
 <tbody>
 <tr class="odd">
-<td align="left">Heat pump systems</td>
-<td align="left">TF5 table*</td>
-<td align="left">Open/editable</td>
-<td align="left">Tick box only</td>
+<td>Heat pump systems</td>
+<td>TF5 table*</td>
+<td>Open/editable</td>
+<td>Tick box only</td>
 </tr>
 <tr class="even">
-<td align="left">Adjustable coolant thermostat</td>
-<td align="left">TF5 table*</td>
-<td align="left">Open/editable</td>
-<td align="left">Tick box only</td>
+<td>Adjustable coolant thermostat</td>
+<td>TF5 table*</td>
+<td>Open/editable</td>
+<td>Tick box only</td>
 </tr>
 <tr class="odd">
-<td align="left">Adjustable auxiliary heater</td>
-<td align="left">TF5 table*</td>
-<td align="left">Open/editable</td>
-<td align="left">Tick box only</td>
+<td>Adjustable auxiliary heater</td>
+<td>TF5 table*</td>
+<td>Open/editable</td>
+<td>Tick box only</td>
 </tr>
 <tr class="even">
-<td align="left">Engine waste-gas heat exchanger</td>
-<td align="left">TF5 table*</td>
-<td align="left">Open/editable</td>
-<td align="left">Tick box only</td>
+<td>Engine waste-gas heat exchanger</td>
+<td>TF5 table*</td>
+<td>Open/editable</td>
+<td>Tick box only</td>
 </tr>
 </tbody>
 </table>
@@ -1959,18 +1976,18 @@ Version: VECTO 3.1 / VectoCore 3.1.0 / VectoCmd 3.1.0</p>
 <table>
 <thead>
 <tr class="header">
-<th align="left">Category/Input</th>
-<th align="left">Default value</th>
-<th align="left">Engineering</th>
-<th align="left">Declaration</th>
+<th>Category/Input</th>
+<th>Default value</th>
+<th>Engineering</th>
+<th>Declaration</th>
 </tr>
 </thead>
 <tbody>
 <tr class="odd">
-<td align="left">Separate air distribution ducts</td>
-<td align="left">TF5 table*</td>
-<td align="left">Open/editable</td>
-<td align="left">Tick box only</td>
+<td>Separate air distribution ducts</td>
+<td>TF5 table*</td>
+<td>Open/editable</td>
+<td>Tick box only</td>
 </tr>
 </tbody>
 </table>
@@ -1985,50 +2002,50 @@ Version: VECTO 3.1 / VectoCore 3.1.0 / VectoCmd 3.1.0</p>
 <table>
 <thead>
 <tr class="header">
-<th align="left">g-value</th>
-<th align="left">bonus</th>
+<th>g-value</th>
+<th>bonus</th>
 </tr>
 </thead>
 <tbody>
 <tr class="odd">
-<td align="left">&lt; 0,1</td>
-<td align="left">To be simulated with g = 0,05</td>
+<td>&lt; 0,1</td>
+<td>To be simulated with g = 0,05</td>
 </tr>
 <tr class="even">
-<td align="left">0,11 – 0,20</td>
-<td align="left">To be simulated with g = 0,15</td>
+<td>0,11 – 0,20</td>
+<td>To be simulated with g = 0,15</td>
 </tr>
 <tr class="odd">
-<td align="left">0,21 – 0,30</td>
-<td align="left">To be simulated with g = 0,25</td>
+<td>0,21 – 0,30</td>
+<td>To be simulated with g = 0,25</td>
 </tr>
 <tr class="even">
-<td align="left">0,31 – 0,40</td>
-<td align="left">To be simulated with g = 0,35</td>
+<td>0,31 – 0,40</td>
+<td>To be simulated with g = 0,35</td>
 </tr>
 <tr class="odd">
-<td align="left">0,41 – 0,50</td>
-<td align="left">To be simulated with g = 0,45</td>
+<td>0,41 – 0,50</td>
+<td>To be simulated with g = 0,45</td>
 </tr>
 <tr class="even">
-<td align="left">0,51 – 0,60</td>
-<td align="left">To be simulated with g = 0,55</td>
+<td>0,51 – 0,60</td>
+<td>To be simulated with g = 0,55</td>
 </tr>
 <tr class="odd">
-<td align="left">0,61 – 0,70</td>
-<td align="left">To be simulated with g = 0,65</td>
+<td>0,61 – 0,70</td>
+<td>To be simulated with g = 0,65</td>
 </tr>
 <tr class="even">
-<td align="left">0,71 – 0,80</td>
-<td align="left">To be simulated with g = 0,75</td>
+<td>0,71 – 0,80</td>
+<td>To be simulated with g = 0,75</td>
 </tr>
 <tr class="odd">
-<td align="left">0,81 – 0,90</td>
-<td align="left">To be simulated with g = 0,85</td>
+<td>0,81 – 0,90</td>
+<td>To be simulated with g = 0,85</td>
 </tr>
 <tr class="even">
-<td align="left">0,91 - 1</td>
-<td align="left">To be simulated with g = 0,95</td>
+<td>0,91 - 1</td>
+<td>To be simulated with g = 0,95</td>
 </tr>
 </tbody>
 </table>
@@ -2041,26 +2058,26 @@ Version: VECTO 3.1 / VectoCore 3.1.0 / VectoCmd 3.1.0</p>
 </colgroup>
 <thead>
 <tr class="header">
-<th align="left">Phase</th>
-<th align="left">With thermal comfort roof mounted system</th>
-<th align="left">Without thermal comfort roof mounted system</th>
+<th>Phase</th>
+<th>With thermal comfort roof mounted system</th>
+<th>Without thermal comfort roof mounted system</th>
 </tr>
 </thead>
 <tbody>
 <tr class="odd">
-<td align="left"><strong>Cooling</strong></td>
-<td align="left">High (20x internal volume / h)</td>
-<td align="left">Low (7x internal volume / h)</td>
+<td><strong>Cooling</strong></td>
+<td>High (20x internal volume / h)</td>
+<td>Low (7x internal volume / h)</td>
 </tr>
 <tr class="even">
-<td align="left"><strong>Ventilation</strong></td>
-<td align="left">High (20x internal volume / h)</td>
-<td align="left">Low (7x internal volume / h)</td>
+<td><strong>Ventilation</strong></td>
+<td>High (20x internal volume / h)</td>
+<td>Low (7x internal volume / h)</td>
 </tr>
 <tr class="odd">
-<td align="left"><strong>Heating</strong></td>
-<td align="left">High (10x internal volume / h)</td>
-<td align="left">Low (7x internal volume / h)</td>
+<td><strong>Heating</strong></td>
+<td>High (10x internal volume / h)</td>
+<td>Low (7x internal volume / h)</td>
 </tr>
 </tbody>
 </table>
@@ -2073,12 +2090,13 @@ Version: VECTO 3.1 / VectoCore 3.1.0 / VectoCmd 3.1.0</p>
 <div id="vehicle-editor" class="section level2">
 <h2>Vehicle Editor</h2>
 <div class="figure">
-<img 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" 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" />
 
 </div>
 <div id="description-8" class="section level3">
 <h3>Description</h3>
 <p>The <a href="#vehicle-file">Vehicle File (.vveh)</a> defines the main vehicle/chassis parameters like axles including <a href="#rolling-resistance-coefficient">RRC</a>s, air resistance and weight.</p>
+<p>The Vehicle Editor contains 3 tabs to edit all vehicle-related parameters. The ‘General’ tab allows to input mass, loading, air resistance, vehicle axles, etc. The ‘Powertrain’ allows to define the retarder, an optional angle drive, or PTO consumer. In the third tab the engine torque can be limited to a maximum for individual gears.</p>
 </div>
 <div id="relative-file-paths-1" class="section level3">
 <h3>Relative File Paths</h3>
@@ -2223,7 +2241,7 @@ Version: VECTO 3.1 / VectoCore 3.1.0 / VectoCmd 3.1.0</p>
 <div id="engine-editor" class="section level2">
 <h2>Engine Editor</h2>
 <div class="figure">
-<img 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" 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KEbE9OHezpSBUBh6hilkrSkK7xCoKN17mzSSbpO2KieK+l+vJLARBEFRejIniPpfryywKSTdB1XHrQOdgDZjq4Xh6Tb6Nvm2U+9fLzlqo6FOl7OcVZ1w6k/qs5pdVWv44b2YW5bSWNabypBbTWqpDNuu/S2wSDSC7uvDTLGNsh42yAT1AbTS7oJb71g0km6jtXm9DpnUej2lTGe7dD3ybvfenk5Za2OhXOs1DHW6oGnruj1LLWOBgu7qP+Gz7VSxvTZ78HUvxCY+lkmogt7ccq6PqquC3uYrLuibsl6kKjrsm6S9DBR10U8E1n3S7oiSNL5tYmkJJ0xiXkQNxlEXYUj6DHvU2f8wv7aKCHpj1mSru5TV0SW9LInb6G9G5XRXoL9bj+dHvzkayFXK+msFx9ypu99y0ni9Um0H3PLybT/bXVp/9uZU6WYqdFzriDtRlniyDLJAspyK+VcHMx3BZ1FQaeDH7VfbLwzfo3LuGDeDqCT/JIiPfxlhk7QlwKu5K+WtGfGpOdNDSX2Oq8LaVc4I/1iul/sFUriuSGxrPNzB/iqCr66gq+04PvblahzQ+IGz6LOP9/GJyY+kfEJ7paPl2uSnodRc0ac9NNh+oApeUwftjExfaCnI7XDrzB1iFKRo3WMFADG1MHyIqWAyUja9Y6dS7pRPEWYpPsJG9WTks5ISTCLgiJM0nWkQDBBwqCQ4hAuD/mUdCap0T9X2E3Sbk+305mW5/WnbJ9vf91ycsvWPQ7ucbOOtV0ftDrk1ju3fnrruLmtuJjaWzaY1pFKlPbptktz20xK0hXp2qNX2g3tMMu2l3yb89Y1E972ZqivPgom6YxvW3ibPfvj7L9Wblr5quPgHDPn2Lp1QK8vnvrmq5uQdBfT538Kpn6Gjanf5SeurHuEXch4kLDnUtaVqPtlXYl6kLBHuQTeL+os6Rc+IiRd9MN1SQ+TdV3Co4g640p6tVHSdVH3S7gu8Kb5fulWRJV0xnFbkX861Ih6dXW1gxJ0U94s7SYx1wmU9G8tSdeJLOk3vttVSPjJQsZPlEJ+xZsd6Okv5tNB99S3p50o5gtRF/P2ZZEXwv77206xJb2uHEFnQWdRcwV9Ot1zbh2qU0fjgRH0nijk9ydkwki6djuRR+MRhnmpvBeLGdSEt1XkraY931jbbodLqPHANdSmzSW+6RX0nBD3zgO6URmnGSBe83vJdHpA5F3WZjq9K0Rd0p/TWdMcue9SIfN5Rr0XpEj+h5zGXefTQto9Uj92Ot17jrZd94+whL5vNzpBbNe9/TSx5y9QbDwj9nzsJELibTwCb4Alnq+cYFlXos6XwfO97nJE/StrRJ0fLqcufecTAZ9c+LfV1UPkbhUnt0YfLxUnyqV0k6CQcm76IKl1mD5oY2D6ME9H+CXvfkydJC+usPs6WAHEEvU4csAEjeJFlHQmSA5MWNIeXxR0woTBRJA4xJF0JljU/Z30aGQrFlFH103LSnzb4+DssyorvTzd46COnXVsVX3w1iNV15w6mlK/rfaQ2k5MbSsbTOtIJU7bDPsSLdZVLmkkXSeoXab9sizqFS1hsh6xzbnC7m1vTGZfjBnqqI+CSrrE2obUbVP745aBXlZu+brHQB035/iq46/XG0990+uluV7LNuD7XKtNmPoCHkx9DRtTX8xPLmTdEXVGk/RsZN00qq7LelRRd2U9XNQ/1CRdja6bZL3BvS9KEY0Cpw0SdUvS+0o38Uu6EvW4ks7TTHIcR9IVjuOKPINQkr548WIHfh8k6Uw6UXckndEkvYol3b4EPrakPzVwAf3pvgsdIT/+8evptvc/1MTdkvR9PJKuRtLrysseuBBZ0uQl7ix8LIxCTk9sPUMIpzU6zoL+gRDgDyea+aAAtGurCXeTEfS+mKbg+e9PXCNpy+nkFwTi9avua8V7zMBudJKQ4SZC5OV7Roi6FP5zu9Grtrg7ki+mtRHv3xU8a6dR73Vcia8jPjxS5f1tW9Zbthb5ntONWvL7ft3oRDu99foSuk9I+ltC0BWeUXlxzCxWO4SNwOuwvPOIOos6XwLP97nzaDpfYcEPnOPRdP5den7YoBxNF43joX4r5UmETzr8EDn1++n8hHeW9BuVpGsnXf1kHEaKkCvECT0dpg8OYGP6wA3B9AEel2zvU8+9pJtlwE/US+DTjuSFjOL5CZJ0P2HS7kp6RGlIM7rHSHlgMhpZN3XO01NwSXcwCYa2v045uWWqjoU6Xur4uvXCrT+qvjn11F/Hfe3DwtS2ssW0Hi+ybSpkG2V822sTJul+wkbXZTtkZFtUeNugIhNJ10kn7FG+KEv3JVmYpOu47c3c5uJIOiPbEyPbFGOq63lA2yYLfb/c/XfKTCtb91i4x0wdY6ceOHVHr2P++mnVYVMd57Zg+lyrDZj6BCmY+hkCU9/MRJCsM6Gyzgghz2hkXfRRTaKehKz7RT2OrLOk/9sn6SZZZwmNGpzWJOmMV9JZ3FNF/TGfhJvwS7pJ1DORdMbku0rQ1eXu8+bNSyFM1PVL4E2SrsNp+Crkix/rKCVdv1c9lqTz72Zf1LpSyDhf2s5CfhIddPfZjqDzJfB/afwfOrzxxXRE40vobw9eSn9/+L90lODoR/4nJZ1H0VnSnMvcv5lO97Gkt5nhXOLOI9wsvrqYd7HRp6UwKQam5dPA2/RCE0vSlbx7GUENhPA2qLLeS7G30+pS//4X3aWkP/iF/V7sr6TrC0KwWd79o/Qv0HOiXDqPH0HXiPdloqz0S/4Z61L7GfZo/Az3cnsbXdafeUDk+cAI+7L5EXSVQdL9l9Prot5x7GpJmKj7kZIukPe5izogJV3QQjRgHk3nS975YXLyye9C0vkBhFzRWdKbiErKT3vnE9Edn2mSLuRcXuZun2T9J18TRilX2Cf0MEwfFMCH6UM2JqYP83RIUVdkIgJpBEAnjgwwUggUIdIeVdKZSJfcMo6wM15BYGKN6jFhoq5whJ3xCgMTVRqYzEVdx99JN5OtpDPpRd1KY1o2FWub3G307q8qI1WuzvFwjpk6zqpeuPXHqXd2HWXcOh4mFAp/O0sC03pSCRV12S7Tt80wSfcT1i7D2qHTBpmQdui2QXM7tNqdt72ZCJN1q71FbHMh7U22MUUB2lfm+NuSwN4nxtl/rczcsnWPhXPc7GPsjKqL+qHqi6eupdTRoLYl6r/9WVYbMfUDUjD1N2xM/TU/HllnRL9P4co6k9/L4JWoJyLrtqjrsq6LupJ07oOztAeJOgvoypUrI8Fpgy6BZ0m/1iPpqaLOkt7DlvB06JLuF/VMJZ0xOa8S9JkzZzqY3oeKui3rJjnX4auNpaR/t865BF6JemRJZx76dBz97vYzHTFX8Aj6Ze1aUuXQ5fTS0BX0yrAVQsBWUivBqyNXCjFbZbjUnYXPknQWSxZNllNrFH0GPXx+HTq5yQt0shRVwXnd6XUh2F2Ybi/Qds70S2SahkKOu0yyl2s7w30dkoclwRbW8maU3CtJ9wg/I2T7wyrO7wV6gV8LXtNH3wVK3j/QJP2DCZbY1zm3O7UVr68Vr096dYaQduv1ta9yWvG3qyibgdprUUaMV9RH0NViftm57no9l8rbvN3fHT1vxaP153ajVmK6X9Il+uj6N6sFw+nKOtuJDyYW9eF0hb0eyf3DLWn/4Hmqs10FXXGfmred+ECzRP310dPojrPdZY4562Kqc1YVPc6SPrjakfTHv+BKbjVolvT7bEm/U0j67Z9aJz4l6fqJNgijlCvEyTodpg8FEIDpwzUDTB/kcfDKuqlTlIqUdUVEYWeiigGTTg6cUTwmZBQvnaTruJLglQOFlARFiLAneQm8FHVFRHlgwqQ9W0lXSJlQZCEVUUfWg6Xd2oaUbXT22S0Xt2y142AfN3Wcrfqg1yO33jl1NKV+m9uKhd7GksC0jlSits2wL9PSfWGmE+vLs3RfnGXZDtN+UZZAm4v/pZihjhrItj1lR0BbEtvv7pNWDnaZ6e1JHQN1vJxjq46/Xm889c1XNw11WtZ/32dYbcTUF0jB1O+wMfXf/ASJOhMq65qwx5Z1W9L9sq5EPYqsK1FPJ+tBT4GXkj7RK+kKv6yzfM6fPz8SuqT7RV1JeifhGPzeFXVX1pWkRxF1v6Trop6NpCt03+X9mjZtmgO/V+Lun27Ky4tZzhXuSDpLuvvkdyZF0v2Z6xv99Jcr6OSnbk+R9P3v/Af1+W4aPfnkkykMGjTIuR9dPTBOPc2949gZdL+QdEf0BCyhXYSkP3I+v7+EHv5SvP+yO50i5rFIf6S/FoL8RrtL5XLWe2s5lvSPvtXyGGTl4ci8fG3nLfLoYgv2i/zahy7jRkm3pZzn8XrVex1L2G2BdyTdEvSTxDLWKPsMevA8K381qv7gQDGNy6fxCHqVL58XeTzvk3MHea+7SKsuh//IuvT96o+0y+Ft5Gg6pxWc2Hq6vBT+bY+QK6z7109sPc2SdBZwkX+LsdOc6daoOgu7JeNS0jlvW9qbsayf040qRSVsar9+XtSD1l8Pp4s5XYqkW7+f/pio1PxzbI21kfQ7haDfLk5mfHLj+9HVSLr/RKswSjljn6zDMH0AgBiYPlwzxPRhno7UEXUdUyfJiyvq6YUgTAZMRB3BY8LkwBX1YDFg0smBn2iibhYFRTph0Ikt6hEkQgoEk6GoKyyxMHX6o2GJuknOdWyZ9y3r4NsmC3df3bLRylUdC/u4qWPr1AutHrn1Taunvjou24GvjaRiamtxMOWZSpwv0dK1SynrijTSHlXWg9pjnHYYKurp2l6EdpdW1BnZzsLbWhxRdyU9uzaVHeZt8+yXUw5ueTnl6xwHdazc4+vUAb3e2PVMotdNX512Ee3A91lWWzH1BVIw9T0Epj6dH4+sM6JvqEhC1nVRN8m6EvUosp5uVD2arK+gD3RJF++DRL3B/ZVSPqPQUKTVxVwXdb+kM35Rf7Tbd1LUFeoSdxOPibR+SVckIemM8l0l5Ap+r18C75muLR+OWdJ5JP0SNZIu3kuiSjqjNpof6HXze91oH9996Kc/fz8Nn7PBET8dFvV0kq4u4VaXuitJt0bEWZbd91LKz+tOb4jpLOkfTRpJ120XLOknt3PzUKPsr9ti70WTdoFHxG08km4LuESIN0v/Q1/4pjtol8JLSbfW6Qq6hbynXYj4tfLecx5dV5e9X0In2bKeIucSIeK2pCspf1d7GF2KoD8wwhJz+3J3FnXvqLkGP4hObEuLsWvoqfuttNZD5qx90Dmh1XQh6SL9dhXUTBxf+aA5+/0To4fT/4TI//c9UQ9EXeAG9fTL+kg6X+6+Ukq6GkmXki4E/X5xguGTjronnU9wStL1EytjlHIdcTJOh+mkD7LA9OEaA9MHeDrCJV1h6iSlIqWACRCDzCQ9vRQwUUfwmPRyoOOVAp0wSdeJNqqn4xUFRS4kXeFKuo65o24iP5Lux5yXaTRQ31dVPk7ZquPhHDN1jN264dYfvd7p9TW1vocLu6mdZYIpby9Ou2SC2macdslEbJuhX54l0A6zkXRF2Bdlcdpc/KtXvHU0CFfaTXU916S2Jd4Xd9/0MnDLTZWtczzUMXOOs7cuOHXGqWf+OmrVX1P9hqyb+wMpmPocGqY+np9ik3WTqEeRdaOoM7aos6Rf2PRdaj3MknF1r3qQrDP6vepM2NPfGX1E3STpCv+Iuh+TiIfBz7lKQtIZ5bwexDqM2PNN+QRhpbcEvan4+8aoarr08U7UTUi6Encl61/P3Rhd0hl+gNyfH7jIEfR9b6tLt3f5nAbN3OjI2pxVW2nonE00TDBi7iYp6fKedCFm7b6Ocbm7JukewdYvWxeS3tCWdOPl7pHy8OKXc0XQPeny/nORXzvfdBdb0ruK1/Zl67KsbBF3njSvzePL3uU0OapuTVNfZqife3MeHCcawLvjrMvdr+6ihHy6/ALkRCHp7j3p9j3oH7qXtD8txJul/S1N0jt+s9pC3n/Oo+SX0L197b/9VlOHPlXySfD39LXuSffcl25f7t7M9/5xIen/FZJ+WWf3wXFPvmRJetOhq6SkPyMkXf4MG0u6qJzckFnS+eTCJyDnwXHiJKee7B5Jzu0TcRimkztICNMHa0xMH+BRkcLOGGWAMXSQDITJAOPKeqZi4BUBJt1l7zpRL4H3yoJXDnQsUfAKgp/4wmCWBkUscWAijPYpMhldlyLBZCkT7qXvUaTdSm/KxzgSqO1j2Cigc9zUMXbqhFaP9Pqn11VfXed2YGoj5vaVDaZ1eInULpkYbVO2SyZtu9TKTiNdW5RtkMlQ1JkoV7WEiToTRdbDJF2nkO3LRHAbUljr9myTtj9eUTffUmIdC3XMtGOs1wen3qj65a+j5not67/2OVbbMfULUjD1P2xM/T4/xSzrurD7RT1M1h1RF/Bg4KVPf0Stv1pID/db6dyrHlfWw0RdSTrDz50KknQmSVFnp2jYMhlJZ3TvdRDrCcKURxicH3tOM+E7bwxfTFc8+2Eyks4ZXtK2pXxwHP/c2uFNLqNnvlzskXT9cvfhLOnDhKQLUWc5a/v1anp9lP3gOFvS9QfHSVEXkv7QeZZQWyPR2vsq6350Fl41ndepv7eWC8lDjnzr81zMkm2hJF0f/VaXqV9bpU/zUiFHw1+gChZyKeL8gDj3J93cEXHr4XC8P9d8ZE1T95rzaPoDA/h32M2/xe48FO5c+8nt8qfYLOlWT3RvwQ/q459f459dE2k6fjOCrhR5u6PjQrxZwn2i/YS6v/z+4baMT6O7OR++jF28l09wH23/BNv7Ssq975uOmka38/3oZ3ejZ0VjavmOmM55ntWVHuOfYBOSzr+7z/WLv1niysmN/AEh6fwtIJ+E+H50PoHxCY9/I50l3SjlCvvEG4bpZA4SxvRhmiWmD/F0BIu6qYOUSjoZ0HGlwNv5NxEmAyaC5CCqpDNeUfcTXRYsUfCKQRDm0XXGKw5MUiN9JlyJ8OPrsAeQtbCnFfWYki7x7qNbPqpM3eOgjp06vk69UHXJU9/0uqrXcXMbMbevbDCtw0ucdslEbZdMppKuE9YurXbobW9BBLXD+Fe0MN72xgS1uRrfvgxpLAySLvHtk14enjIztSf9+Gr1QNUdrW7pddJUr2X9932GAXN/IAVTP8TG1A/0E0fWPcIuhDxQ1kW/1S/rUtQZ0a/1y7oSdb+sRx1VN8k6X1Z90xtDqen7w+UvK7EIs4AHyXqYqKeTdSZsJF3hirpZ1k1CbkJJOv8mO783uWwm6P5rknMPvvSm/BR8ZTpfOdxmZDVV9BhLd3Yc6ki6EnR+iFwkSVfwb1dLPptAB9zxD9pXiPoVb7whf9v6S03SdXg0nZ/gzZLeWhSi/Ak255J36yfYPMvI0WVLfPlycEuQve/btdUuV2/8AjXYzrqX3ZsuRh7MeWK9YnqqZNs/raanFZz06nSSP5/WlWW4gp5XP6cmmW4JuJNeSPkA66fWvL+TrgS8gp7lEXGB/Jk1+70aEefL1tXvozuj4kKy1c+quVjSrdZ75YfWJeuvtLIk/RX+GbV+vkvV7xthibc9On53XyHctqQ/oQScRbvOdqKTYIu34HWR/ng9H7Hsnb3F9PeUlPOXMe77x8Rxf3XkcLrUSX8xXXTXxVTnH13pUefJ7u796NxgG4tGr9+PzicrPonxiU5e6m6SdPskmw7TyRvkCdOHakxMH97pyHY0XcoAI4UghhQwUgzMcpCUpOvEEXbGK+3R5EBHigITcWSdycfluCZS5UFh6rCnkq1EKOToOhMo7fY8bRmXAMHQ99UpI1Wubtm7x849zqouuPXIrXN6ffXWb6tNmNqLhamtxcGUZyredsno22gmyui61S7D26Yl7N72pxO1LZrank4mku4n2zbntrUY7Y3JY/uKLuk6hm3x7IdeDlq52eWqjoV7vNzj6tYFrd44dUyvk1Y9NtVvbgumz7TajKlfYMTUBxGY+oV+gmTdK+wxZZ2xJT1TWVeiHkXWdVHnQbDXhi6iCx/rRE3eGkQtvphDbb9eI29H5ltQFTygqsO3qDpwX16DB151+KeWdVjSu3+/LmW6Dj84zWVNxrCk8wPm1Hu+ajsJ2FczwZSXor3wsbaD59GTXUbS/5q9TR1HLqKXhq5yRtIVo6JKuiPogqe+XEGnP3svHXjXOfR43ynyGwFd0mev2kpDZm+kobM3ET9N8KWh1XI0nb/p4AMuL3l3RtNZJNdSp3HWKDFfxq1G1COhPfXcuWw8Jp0DESLNsFwH4FxybkCNckfBvSTdL95e5H3i8qfQguEyVcj7wgVc1g6igjBKuKV0mxCNh+GfTlM4DYsbYxr0hvvqyGpx7KtFHaimFsOtn167705RX4SkPzxoFT0jBL2ZqEdcl/yj6Hyi4UvdbxEnqZvFScu51F2XdPukmg7TyRoUANOHaQxMH9rpkJLOpIiACVNHKZWoQsCEja67ou5H69jZRB3BYzIbXffKARNF1BXxpUHr9GpY0qB3joOJI+pSGphMJZ1JSNSZcFFXWOlMy4desuuUkVuuevk7x8051qo+uHXIqXt6nfXV7XSCkSymdXhxpd2/namkbZdMlHbJBLTNWO0wgzYYq80FSDoT9YsxJlZ7y2P78rankHZjxL89+r54998pN6ds3eOhjpl7XPX6oOqMW89S62VQexL1X/tMA+b+gRFTP8TG1FfU8cg6I/qcXlHPQNaFlKeTdSXqcWRdibou67qoN+2/jN4ctYIadfiaLn2uG/3rkQ42HSX8YDkTF/q46NFg/vOYl4s0/PN0+AnnFm8lxiVNk+FSEyJ/I/b81Hw6et5f/WIPuvud0fTON6voxcFCyu371GNLui7oDA/j3/rhp3Re5RNy9PMxn6Trl7vz092bD6mWot6CHyDHo+ks6kLS+duEN1gipVwKUReyzpcqvCNw77sOp82rPCLOI8+u5BvhPP2I6dbl4xbPOL9NrsEPWfNJdBRSxFrDutQ89b1EloWFK9urRRnZqEvNfdt5fKtp8rfIHYRk+wVcl21Hum2h9ku1FGsT4tj5v11T79vwlzA2fNWERbVEyfkrAq4LzYcMpX+L7f77iz/Q06IO8e/wPy7qlXxgnBB0HkWX96KLkwqPot8qTkz8++g3iROYfKq7knRxwkyH6aQMigzTh2oaTB/Ycch2ZJ1JStL9uGLgFQFGyoBCSgGjdwLNuKJgloV098gqLFEwy4KfdPIQNrKnE0semIxG+mKKBCNlInOhYBKXdIm+j1r5OGXqHgPneKljrNUJvf44ddCpp/46bm4j5vaVDaZ1eElK0v2EtUsmSrtMJ+xhbVCKOhPSBtO2OdnewttcnCtZmLA2V+j2FQ/T9vj2Sd93rczcMlbHwj1uzvF16oGqM1r98tVLC3/dttuA/fll+lyrzZj6CSmY+h8CU9/RhEnWTSPrjqhnKuuivxtX1k2j6iZZ52c/sXfpVw1bVxyvk/DgqsMkly5p+Eij67cuH/nQ56XwXTj8BPS48GXkxUzFoGW2b8eUdL+c6zw+cDE98Mkkmc4v6Tos6vzzWkrU5f3pLG8seEL6PLIuYCntKGSdR9fNjKQrt9PXwQ8zM6WzEfIfSsoymjzztgTgCrQXrvhheEa0faReLuGTbB/65SIKk2Q7Eq2hX9rCl7o4iGOjw8dKwg//E/AXLQp+IKDC/55lXIfvf3mi8mLtuAnuGCrl/AkeQed6JeScR9D5Z9eUoN/xmTgZaaPoN+oPjLNPmkGYTsSgiDF9oMbA9KGdDm/nX8ffOTITRwYYSwbSC8HVTIgM6MSW9TBB0JGywHhFgQkb1fMTSdQVIQIRRxxij6w7EuHH1GlPxRUKU8c/PVmLulEuBPq+auXjlKt9DPgYWcfLPcZ6vVB1x6l3Wl311HFf+zBjam9xMOXpJXa7ZKKKesR2yeRC1HWsduhtb4qwdleINifbGROzfWXbtuJjrTNlW7R98XzxJcrHLTO3jNVxUMfKOb5OPXDribeOWfXRrZ/mOm5htQnTZ1ttxtQ/SMHUB7Ex9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/>
 
 </div>
 <div id="description-9" class="section level3">
@@ -2307,7 +2325,7 @@ Version: VECTO 3.1 / VectoCore 3.1.0 / VectoCmd 3.1.0</p>
 <div id="gearbox-editor" class="section level2">
 <h2>Gearbox Editor</h2>
 <div class="figure">
-<img 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H/4ZPG5rwanoesM++D0DjS/D1S2l56DI2F8gEFexjn0MOg+CCUV6UGvJKwaJbDdNCSySnC16HbtT+KLAmuC9UQEy+soKaUonA4omYRLLHtI2rrkcRAK4yD8jigL2x9FkLKFSgCbd4WajTuLftrU/ZMOAGXwwFASDxZS/OrjAaeO6OJJmb7PqGsnCt9HqjvnhwXM7J6Z2ZOyl5dk7ws8sCJJ6cZpyp4WvYDsSeEj0TNlzxQ9X9mjbBviK3skaPpkjyf/ULKn0Y1N8Vk0+D933hM660fl0zJp+Vr8Al09cXtou8Q2BrJ9hDhx4smRSHcZv5SQPo2n4RBrbFk/2bihBhA2mEQjChtgojEmG2+yMUeNPNngM8VP7zNyPwnsF9zNMzSBeooVnkZ9WoP7AxNDbHUcC7Bs+ds1u3kqSPp0to9Q4qezfUL6BDGQPk0y5c8tfZpgwQtFKPEj7PJnP856CZY+wnJuQdzS5xa/SOTPFEASPyl/KH3h5E+JX16FKX+mAGr50wKY1Gv+wsqfk/lzZ/3c3T6Du3yS+En5ayLEz5Q/3eVTZv4C8udk/mrZM38B+VPS93J2IUgTp80LMD3ApOnzg5khmWy8ShYo8P1MfNWo4Ws2bIFyFavBrt374SdjvPm+/+Dh6DI7QrNZ0n/QcPhJL09BZdEwWlb7rz6CLTOmwZIWDWEpskyxqqVkLbIO2YhsQjYjW1s2gO3IDmRny/oOJHRm0Oc25StZhwfmk2VRmVsQWgaxAaHlrmmF64GsbNkIliHL1eumcWPgk6yvKOnr6YgftfnJ8xzpozttBoTPxC58hJQ+meETwtdFCR/KBmWwKPtFktK572iRtSNBIvkigSO5GzDyJxg0agoMHjMNho6dBsPGzRAMHy9fh42bjsOnwxANTkfQ9JpBo6dGxMBRXqZYPgcYMNLkJ1/6j0RJJYSsKlBYNf3ws0BJrVtkSXhRXjVKZoMFdryAxLOXR0JdgqmQ2VOSx9HQWcmjzmpSJrJtz6HQuutgcX0lfceU/iX5o2sF6XpA6vZJXT5LJ7aAEnjAoK6eBcrXw4OOvK6PMn2U5SPp0zdqoQOfkD0juydkDxGyJ7J71L+eunIGy17IrJ4rs6dlT0LdI5Mse+L6uoDweWVPgCf+INEjsEFpYm9wfi5wS59EZvsC4hd8jZ8hfmL7pfiJbp50wnROkvYTZJqREt08CU9jISUIariIRo1u/GBjSTemREMsIH6ygUcNPmr8YSNQNApVA9HYZ/Q+EZAmm9iFw5w/nYDbFSuCf0OxwNOgT0toP2Bih62OYwWWL3+7Uvw09Lu2X98XyPaZ1/dZxU+QBOkjkil+0XbzJALiFyx//hk/+cc027HWJFj6TALnluwfoOgFiR/hL38uAfTI3+tC/tS1fuHk7wspf1r8IpE/nfnzE0A/+TO7ferr/bw3e5FdPusEy5+63s/V5VPd7CUgf1L8tPzJG/pp+XNn/rT80Y0AtfwFxI9u9tLWkb4VazbCkNE/CYZqxrgZNnYKtuWniFcbw8cpzPfjprpYvGItFCtVHjZv2xU0boR67dFnIKxa93MEbMJpB+A8U8S8I5xlys9LcFmtPsoLG3+aBHPq/ADzkPl1f4AFyOJ6P8CSetVgGbICWY2sQdbXrwobkJ+RzYIqsFXRqlRZq+CZQZ9pOpp+C0JlUFlUJrEOoeWsqi+XS8un9ViM67RQrdv8uomwdvgQ+PClZ4X00f1CTPGjJydEJH2Fm9eF75vVFBTB9yR3NLx2x05QoFktKNC8FhRsXhsKtagNRVrWgWKt6kKJtvWhZNsGULpdQyEllEWjTB1J0aDRU4S8DUWxGzFhJoycOAtGT54DY6fMRebBuKnz5Puf5sIYhzlimtGTAoyaNDsIKsvLiKQywWSmw/DxJlJOvQhpVfJKkLTacERWERDZqS4GkrAKaTWkFGWTGDBCokXTFEstkZRJFfI4eLyAxJuEsDMKIHU9bdMN5Q+Fnf4KQDsG3SyGrvurXL+d+GsPHRSK4wGjcMUG8B0eaEj66M6dQvrohi2U4RMHOzwI2jJ7KHu56Zo98Rc2OugSeEAm2VNZPSF8yZI9PJmSLAmSIHoIiZeGGuqm7Gnh00Qie2Zj2Cp9SvzEMpT4BV/jR40Di/jhiTTdSx+REuLnaSikBMGNFt2wwYaOaPzIRpNsTFFDjBpuOtvn182T0I1H7z5ik7pwBPavdAXJLG1blHh/T7HD0qhPS3B/YGKArW5jiVqOKX6BbJ9b/EQ3T5XtE/iIX7Kv71MESV0EBIQvedJH0DEwadJH2I+1XlziR/iIH0HyJ+7sGaX8URvk9U9Q+jShBPBzasdQe0YSE/lD8TOzf0nJ/IW706f3ej8n86e6fJryF5z1axmQPyV+5SjjR+KHmF0+KeO3dtM2IX1LVq6DfsPGQf9h490MlwxwMcFh4PCJ8nXERCuDjFdiwZJVUKREWZGl08O8dO3ZD5av3gDLV20Q720443v0C8w70l0OLavle7lhw8RxMCuxomAOMg9ZUKMiLKpRXrAMWVGzPKxC1tQqD+uQjcgmxWaDliVKB4meDhpO4/W0en4qi8okVhG4HFoeLZeWvxBZQOtVHdeveiWYhaweMhDef/5pKX0tUfqE+KH0IRFKXz/IVuMr+EepLIJ/lskBdbt1FV0G36pfVAy7u1RmuKd0VnyfFe4jSmeD+8vmkJTLKaSjL0oJZc1IbITsoVyRpJHQkeRNmDYfJk5fgCyESTORGQvFezlsAUxAxk8j5ktwHprPBQmjAQlkMCSWBrj8oM8WAvI5F0aTgGpIRDUhhVRu7yjcblNExXuSS/EaLJhaHkXWU4OSKMVxmoRkcTRBWc0pgkDGUmUkVZdZksFeKOA9UMQpE0iZvzbdB0PLzijy7fuKnaN2c8r4dYTK+OMuV6ulOECIbF+5euKGLiR9dMdO6topHseABzt6DAPdpMWa2TNljw7EdKD+0J7Z08JHoueVPS16btn7TnSRTLbsCeGTomcTPnGtnoGtYeltCNM1XFr8aLxL/kTGD5eDDQgpf5Txo3VX2T5sHNBNQyirJG/uEhA/QpwsnZOk+6SYLkiJbB/haSzEElsXT5ntM8UPEQ0p3QgzxY8aeyrbp8TPJn1if3DtKza588OcL51Bv4EYYf6uYounUZ+W4D7BxAhb/cYKLN/J+JndPbX4Kekzr+/T8pcc6SO8omdik7pwuKUvCvGzSB8hxI/wHj8d7MdcL3bpIwLnFi19dvEj/OXPET+FbI9EIH8ofSR+hBY/P/nTAuiWP2wf+cmfp+tnUjN/fnf6JEz504940PKnb/aixc8qf66bvbQOyJ+63o/Eb+3G7fDsy9lg4dLV0HPAKMnAAL00g0Y79DZeNX3odTC+Dh7jS98hY2HOwuVQsGgpWL9pK/QdPNYNjqfXTl17iyzdkuVrxXsx3KBTN894KtsCLav52zlg/bjRML1yacFMZDYyt0ppmF+lJMyvWhIWI8uqlYQVyKofSsIafF2PbFBs8tCiWEkheOfOnXOgzzR8E86v0fNTWWuoXGQFshw/0/KW4HIXIPOQuWq9ZlYug+tZBlYO6Av5nn1CSV93KX4q20fPRo9I+kq3aQT3KLkjvm9WA1r1GAQPlc/jDPtHaSmF9yL3oQD+q2x2FD6SvhyiOyeJB0kJyQtJjsjs/TQPxg9rCTkTEiBBUAG6zF4MU2YvEfyE7+kREprJsxbB5BmLUAgJKYYaLYemJE6Y3g+K/U8CFO2mPxugQDp4PwvmOziiibQv9T9qXZFcLaHf1PlBsulFiCMKJQlj2xI0f1loIwTSEEaDUZ3Kwv8klIHWShidjKWReRxOr56MI9WtlkPdFbZZEVxe4a5SCJUE0vfRe8h4kYGlrp90HaDo7tmxP/zYtrd4XESNJp1VN8824mBAB4wCFeqr6/qk9NHNW0S3ThI+9RgGLXsyuxcse4S4QPsDKXtC+JToubN6kcqeIrmyp3CJHoENRY2tEWlt/How5c8RP/UauMaP1lNm+xzxo22lbB8ib+xC9RMsfkS6E78MKH0af/nT4kcNKWp8IaIhho03asyJBp4pftQolA1E2Wg0xY/Q+4hN7sLh3sfSBfR7iBHmbyy2WBr1aQXuD0yMsNVvrMDyA79fhSl+Wvpc4iev8Uuu9GlSTvo0wWIXCj/p0wQdN13Yj7de7NIXwJQ+k3ACaMqfVwCda/0+iUz+3kiG/AUEMCB/QvwM+fO75k9n/SKRP3mzF9nt03azF93lU8sfiZ/1Lp8EyR+Kn878lVPyZ2b91m7cBs++lA0GjZgARcrXRGpB0Qq1BcUq1FHg+hWoIMQmEr4pWAFKVq4Hpaog9KrBzz0HjIDX8r4P02YvgNJV6lupWqM+DB01EYaOngRVazYQw8pUxXEEvq9C43GcOb40lq2h5dArLavmg7fBwk7toFfmp6EP0i/L0zAAGYwMzfIUjMz2FIzJ9iRMyPY4/JT9cZiS43GYgcxB5iLzkQUG9LnRB++L7Tx27JgDfabh5vT0nqCyZiFULpU/EZczHpdHy6XlD8P1GKTWi9avb+ZnYEa9mpDt73+EjSh99bAtT9Inu3kGSd8pFDz7tXstug+ERyvkdQQvc/UvoGLnZi4RJOmjzwHpk8JHUPdDyjpRN0aSlVETZYavX+M8Qp6K91iEUrcEpvauhLKTAK+1+Ammz10G0+YuhanEHEKK4BScboohgi4pnKlBORQMgBIofVR+YJiWxkgwpBIZ0OQNXN/y0BElkcSSPhczhVIJYyAbGcw4jUcMhRwSJIidy2E9SDF0yaCGRFDIoBJCsyuqJ0PYvChKX5FuTjfSQaOmiu+Dun7SdYFd+o0RN4ShO4bKbp59xQ5Cz/+jZ7EI6cMDAHULKFi+gTjA0B086eBEB613KcununS+IbpEyAOmPJjKA2tOOvjqg7SSA9mQxxMCyQydVOhERCcpJXyiUY0nR43o+qga2LKRraC/rNI1FfRXVnHSReHDk7D3AeuyS44CT9oamZFBciF4ovfytEI3BJ7MgY1TW8PXwlM4ravhScPwlRoPYnm0Drg+uouQbixQA4EaBvpEL0664sRL9SXlJKuQK4kQv/eLY72mE2hdjPWLCe+lPFkEWv4UWN+iYfNuEdkAeqcwfidEIfx+CuH3VBC/rwL4vX2P++J3zn4oM3758TuWWT+ZLdD7Ee0LtB9p7PuPP+a86QTcpifp9xEjnIZ3TPkqfYD7AhMjbPUbK4zlyN/v1yh99Hum5/fJ33em179B+aPfO0G/fcr2UZdvur6PrvuV0DFCI67p09AxxAIdW6wImdPHoMgxBU5Cx7PIoeOfKXkB6PjoOWYGYT/e2gj3R0xqP2T/oAS2JYIxRU9SMoic1B5R5Pq4lIOWP5cAKvkTAvhZWUGezyXiRi/GIx7EYx7UM/7e+qqCw9tfS+mTyJu9SPmrLHjvO7pEhh71UBXlj7p9kvj9IJDyl4jyVx3lj8SPunvWdPiieC1D/urA10aXz2/L1Ef5a4DyRzd6aSjEr2AFussniV9jFL/GULRyoLsnUfKH5g50P4dS1Vti24+yfq2gbA2V9UPETV6wXbhGSV+/IWPh+1KJ8J1BgVLVoWDp6lAAIamJNGjawiiPJJBFyqFEkkgquvYZCjny5IOfZswXn4tZqPRDXRg0fLyA3lf6oZ56DSDGj8DxiXXFPLayuuGyavzzT7CgfWvo/sKj0Avp/eKj0A8ZiAx+8REY/vIjMOrlh2Hcy/+BSa/8Bya/+h+YhsxC5iDzPDTMl09s38GDB4Og4TTenH4uQmXNQKhcKn88LmcsLo+WS8un9eiP69MX6f3SY9DrxcdgWu1EyHL774T0UQKH7tchu3n2TIL0dRkEnzWu6BK8hyoEsnz/LJMDnqryLjxTJR9kqvIePFftfXgh8UN4sfpHyMeiayHdTEV36ySBGTelDxRVQkbCRkI3DUVv+rzlMENB7zUkgAIhgIYEenGJoJS+Ej3NYZHhkkRFpzIoUKX6G1IoISGUXVGDcWcPtRS6IQmUQojyR3SR0tfW6G7qdC3FunN1I0XxI6QAzlbyJyH5a0nSV7S7zACi9A0ePU1cByikb/B4cQdRusELPVaDHrUhpK9lTyV9HYAe40B38qTr+grhweObUnXhczz4kPS9hwctumlLXjzgieyeuEmLlL3XQsoenQhIYOikoWVPCp8pe1r0gmSP5ChI9hA88frKHgmWgSN7hJAwBTYOteiZJKeRrqXPNkyIn1qXiMQPT9wy46f/ckp1GUCeLD3ylZZkQPELKX0ENnx0o0k2pqghJhtvWvxEY88jfpkM8ZPyof4IIPaNpO1TEnO+dARtD25frAiWtligGvTpAUMqmCix1W+swPJN6QstfnQuoqx/sPi9YBM/FDkbVuHTJEf8HNlLnvRp3MJHKOkjvMdOA9vxNhTh5Y/aFZHKHxGZ/JkC6JK/z8oI8pD4eeTPK4DOA94NAQzIX6WI5e9DJYAB+ZMCSPKnBZDEj/iqRG11p0+6y3pdlD8SP3mtn1f+5LV+dvkrUY0yfgHxK43iR/JXBjHFjyDpy4TSR90mvyuZiOJX3UWB0jUc6Ttz5kxE0LRFytUWFNWUl3TrMwxyvJEPpqD0URaxqJNNDLyvlFhPZB4dhhvvPdC03vk13foOgxr/+jMs6NAGer74BMrUE9Dnpceh38uPw8BXHofBrzwGw5FRrzwC4zI/ApOyPAI/IdOzPgKz8HUOMi/Lww4N33tPbNuePXscbJ9pOj3PXCoLmYHvpyGTkfGZH4axuExaLi2f1mMArg+tF61fb1zP6XVI+n4v7tRJ0keIbB9y+GiE0kfU69oN/lUmpyN6GhLAr5tXgy4DRovHEvQYPBZ6D5sgbiYyYBTK3tip0J+6do6Rd+ckMRHS17U8ik156CQki4RvqZC7mfOXw6wFK2HmghXIECiN0uZ0pyw3WErg2Hbwuh5G5G4LQ0kER7eD1xLehJJl3xTDS/QaCCVJ+spUFBlEOX1F6KIFcVRbnN4o5/U2MASH/9STpn8DGo6kdZsIjXLjuDID4KeRbSAXTpez6USUQU9WsYe5DJTZ7ih9KIOdSpMoVhDdTBNeawUdG78hXgeQFHav4JonoWRfmREUdVMO2plZQCP7J7qFDmoO2RNyQ+1B+H4gvdflvA7ZciZAtnojhfhJ6SsNBYx6/LbVFOg3rBN8he9frtoHOvUeAQ3LZ8Vx30K59n2hHkpfLZS+qg06gLiLJ0pfMTwweDN97+FB6+2vyouDHgmflr1ceJDNSd0uQsqePvlI0YtI9pTw2WVPNrI1NtlziR5hyh7idOHBxqEpe5pAA9fWEHfzRPbPEHyvUcMd6SPUckkKnsXGgxBWQ/xo+6k+RP3gid7J9pknUiVE6U76NCh/LnGLFk/jINb4i5+Z8SNUY0o0xKgBJxtzWvyo4UcNQL0vikaiaDiaApK0fcqNOW86IUNIH2Fp2KcFWliY2GCr41iAZUvpc8tfQPyCpc8Rv2RKH2EVPiIm0qdxS1043MJH6GOjkj/vsdOF/Zjrizrme4WPkBm/2MlfoMunn/yh9H0qxc9P/kzxCyV/pgBGm/kz5U/e7CWQ9QstfzLr55I/FD+b/JWirF9iS/l8PyV/Qvo2bIVnXswK/YeOh4JlaiK1BIXK1nYojJDMHDp0KCJo2mIV6kHxivUllepDCXwtga/d+o2AXHk/hKmzFonPJSor8H1J9b5KjQYwZNSkACMV5jAFTUvzlKwSmJ9eie79R0Dig7fDwi4doHe2TNA7Ryboh/RHBufMBMNyZYKRyGhkPDIZmYJMez0TzHr9GZiT+xmYl/tpB9qunTt3OgjB++hD63A9z1wsYxYyA8ukcmkZE5FxCC13ODIUofWh9aL1o/Wc2agWZLnjT1L6mneT2T4lfoePnjCk75i/9DVu3w9adRsM2WvmD5K+B8rmgtYDBomnvU+YOBlatmwJTZs2hQEDBsKGn7eKTJi+gcuw8epOnSgu/X7MI+RnMErflDlLYHiLvI6UJJQfCrMWToNmbyTA662mSgGcLwWwVB/KBiqoC+gYEr0EKNlrKUwT0ofzawmcM0hIH4leV5S5qbOlBCaUGei8z9VsksoSTlJyN1B87lIWZQnfD26GAokySOspsoBK/KjMTlr8RrTGYSiJI1RmUAhgBeiI2y6kD6cv1k1m/kQXUdzu/pQFNLuEdiPRywP1hhrSp7qCypvM9IYiuL6FO88R0tenYW5IKN4LRk3qDYVxeLYGo2S3z450PaBH+vBzgfayu6e4xi+hBDQaNgl6NS2K7wtDjba14IWErFC4icz0kfTVbNIFqqH0USqf+noXxQMD9RGna/rokQ30uAbK9L31ZTk86NFBEQ+UeFB1hE8dlKmfvl32AtcdRJfZC8ie/KurAk/IVtlTomXiyJ7CycRgQ9YufYStIS6RwmeCwy3iJ+UP14HWk7J9QvxQ+nDbqKvgi9hQCOrmqU62+kQqrofQJ8f01MVTk2G7epqNFcRp2GD9iwYQ7sOiQaUaYqIRRw06auDRX/l1tg8bhGKfpEaibjSaAhLZPmXHnDcdQNuC2xQr3KIWSywN+7QE9wkmBtjqNhao8u3ip8434jykUNKnu3napO9FLX2O/BGRi59V7CIgIHsmwXLnh383T0IeJ4OOnQa2Y60vxjHfJn6E+zo/u/wRYeUPCYifXf4cAVTyJ+/wGSx/kWb+IpY/I+un5U9n/bzdPsPLnxI/xK/Lp5Y/Ej8ByZ/q7knyR+JH1/pRm5+kb9DIn6BIhfpQVNBAUKxSQ0UjcZ0eyUwkfFuoIpSq2hhKE9WauOg1cAzkfvtjmD57MZRRw8r8oMD3ZfG1Uo3GULVWY6iG6Fc/KtVsLOah+csmyvl1Wb0HjYHEh++ERT27QL+8KLZvZYWByGBkGDL8rSwwGhn3bmYYn+8VmIxMRWa+/wrMQuYg8wwafvapazvpc6jhxFyEyiKmYdlTkEnI+HdfgbHvZIZRuHxaj6FqvWj9aD1nNW0I2e66TUhfnWYofVr8IpU+Ej6C3pdp2xjuKZXVET7K8r1RtxBs27kLcuTIIeTC5E9/+hOs3bQ9IH0i0zdLXs9H0pdQHjqT9KFkkcBRl86e5VFKSPomdIDcnvKI11pOwel+giZ53MNL9tbS9yb8OFp3AZXSV7IXCZ9kqJK4ob3o+sFA1u8nQg3rLD4PFF1DE5yMXwAhekLspOgNaooiZ6yL5A1oMHwRdBSZvn5Od09H+oTsyRvNBObJA3VR+mQWVGb6zDuK9mkkRW/05NFQO1cCFOo427npSyvRvZO6dY6EmjkTIGu9EaJ7ZwtxTV93UfdDx86AwX0aQ+aEXFCpm+zeWedbKYXPl+8qrun7sS1JXw+ogdJXpT7dvbMVlMQffuGKjeA7PGjQweRTPODQX6Ho4uQ38QAnsnwf44HUI3vZxEE+hOxRdk9lSejmJVr2IsnqWWVPiF4Al+wR2Nj2Ez2NI3wENmRtBBq6wQ3xYOHT4HhD/Ai9HFourZ8QP9we2s4kXd9H6JOjOEF6xCstiWfpQ2RjSu7LovEmGnVe8Qvsn/Q9x1b8CHP+dABtD25XrHALWyzwNOrTGtwfmBhgq9tYgstwpA9/y6G7efqIH+KIH+IWv8ilTyDOo26piwR97HITLHihcMueRh4ng46dBrZjbUiM43546Qstf8HipwnIn1v83PIXEEAlfob8+QlgTOUP8cqf3zV/ruv9HPGzXO+n5I+6fPpd76flT2T+RNaPun22ENL33Cs5YdjoKVCOhuO0pXG6Ukjpas1RoJqjTBEtUKjUe5yPKI/iKKjRCirga4Wa+GqhYq3WDn2HToQ8+T6HWfOWQyX8XFkh3tduIz/Tq3ivXk1omG24hX7DJkGtx++DJf17waBP88JgZCgyHBn9OfJFXhiPTPzyTZiMTEVm5H8TZuV/A+blzw3zvskNC5BFEbBQ4R1GZRBUJjHt6zdhilreeGQcLp/WYxSuzzC1fkO/fBfmdGgFuf5xl5C+2s26isew6W6eHuk7CU3aB8ueCd3Q5fGKbznCd1+ZbNB+7CAoXry4EIe33noLVq5eC+t+3g4zZs6CLFmyCOmjG4fIO3cq6aPunUPlXTvpmj66Do+6d5L09dDSN74DvJ6QF5qOp26eK2DG/OUSnKZ7OZwmdzsYKq7xGwSlhNhR907qrvkGNBqlum+qbF4JlD75eQkM0Zk70YUTBc+QOdmtUw+T1wNq6QvqzomIa/xK94eBSuQGqBu+mNf4daC7fQrpkxm9/qp7Z79p46Dea1h+yb4wbgqK3pCWkCMhN9QdMg/GeLtyYn0JRJfOMtB6YDPIJkQPJa9jGSF9LekaPrqr5/gRUIOkr+5wUd/Nxd07u8HQMdNhCDKwZyOUvpxQqcsE6DZgLNTMj+NJ+sp2gaYd+0PDNr1xJ+kuHtJeqW5b8QMtXq0pFKzYUBw06M5RdLChm7hQlo9u3iKu3xN35MQDsSF7WfFEQDdq0Xc+1MLnlj2JbiiHkz0teqFlT5PEzJ4XbMD64W7oysa3Xfbc2Lt6yvXQ4kfdPCnbR9JAEuzt5kknaf0XV9fJlE6M4uToEa+0JgOKn9lQccAGjdPAEY0f2WASjSnREJP7NDXmqHGnu3nq/dbp5hkkfuY+Fdg/IsfcF9MBuD02eUsuwdIWKywN+7SAhIWJHbY6jgWqfDPTF1L8xPkLz2NK/Jyunob0BWX8PPJnlT0Dr9AlhYDwaYLlzg97xk/+YSyc+CW3mycRLH1+4kfY5Y/wEz/K+GnCyp+4yQsKnyZK+ZPiF7vMX6jr/WTmT8ofiZ/Z5VPLn8766Ru9mF0+Sf5Wrd8KmXO9DaMmTIfaTbqhfLWFSrXboTQhddpDlboBqtbtiHSAqvUk1ep3FPwg6KReO0Jiw05QvWFnqN4AoVdNoy4waOQ0ePvD/DBv0WqogZ+Jmgrzfc0fw2BO432vPg8ePQ1qP/MQrBg6CEYW+gJGIaMLS8YX+RwmIpORKcU+gxklPoNZyNwSn8C8Up/AwtKfwCKizCewNAKWKLzDaH4qh8ok5qjl0PJoubR8WhdCr9u4MoVhVs8e8MEjD8IGLX2IzvYFSR+JHYmfV/Y0dKOPL5tUgXtQ+OjxDM9UzgdL12yAO+7AQlAc1qzbgDvCFlixbjNa5i64fuMGrFq3RTwfjh4XQDcSoTtM0g1I6E6VQogS8gipoiwc3chFCF35ITBz/lRoStm83O1hGIqeuJZP3NHzJ2iMw3M1nyyzeeqOn0LsxDV6ZmZOiZvTPVN+ztl0AkqbGofSJm/UMhEavB747Ba61kLoOuL66m6aE6f3h+I4f47G42HC8FZCYHP8OD5wg5apkvYlsZySfZxr8/o1ygMJuVpAn59kd80inXUWjzKf8ho9mb0rC60nzoZeDXJDQs5m0BMFb+REmcWjutaZvGH9mkJW+lx3mLg7p+y+mQBZ6gwVO27TwvQ5F/zQSz7g/ceC+DlrfWhJD2n/sTCOKwTVWlWH5xOyQIGGfaF+a7qerytU1XfuxB930co/quv5asNneFARWT48ONEB7PVPS4kbttAz92yyp+/KKa7Z85U9RRSyFxA9BZ6YAwSLnmxwS+kKCzZkbZDAUQZPEix4Nny7eeL60Lo62T7cZtnNk8SPsqDUBZaufZT1SSdpOtEGsn3qpChOjB7pSi8YJ++Y4G0cpADBDRa/jJ9qiImGm96vzWxfqG6ean8SmDIXKXredAJuj03ekkuwrMUKT6M+rcF9gokBtrqNBap8J9snMMTP29VTSd9zeZT0GRk/U/o0NukLJ382mYuUgOxpguXOj1DSF4n42Y61YbGcA8LLX7DwmXjlj9oypvgFyx+h5O+T0kr8jMc7RCl/bgH0lz/vzV6k/JH4SflL6vV+kXT59IofJUG+KlgGipSsAENGz4DGbftDrSbdocaP3QKgDNbEYTS8VtMe+IrQK1K7WU9BHQt1m/dyqNeit2DkhNnw/qcFYOGy9VC/ZW8rDRTifas++L4PNMRXFziMpvEOF9MTOG7UxDlQ/6XHYdXoETC+XFEYX74oTCxfGCZXKAxTkGmVCsNMZFblwjCvSmFYUKUQLKpWCJb8UAiWJRYUrEz8HlZFwTJBQSyzICzCchfiMuYJ5HJp+dNwXWidJlcuDlNrVISFXdpDtybNIPHD96X0Ne2ixE9287RKXzgadOsBD5TJBfeWygrfN6sOS1ZuhP/7v/8TorEGha9Ro0bivYbu8EM3dRk4cop4bhyJCt3Mhbp40mMN5GMQAtMnJLwJTcaqu3d6b9jidN1U1+YZ48QdOkfQ9Xayy6XMxg0QYpbzNWMZpfqBfgTDxOGtjWcEIupau/5incpDB3w/AeVOdMEs2U90x6Q7jjrTqxuv0HV3sruqMY7EDiWvHT2Xr0Rvsb10LWPvhjhdzubQmzJ3rhuwEK9DrQGzYEQHnb2bCT3qvQ4JOZpCd/EcvhnQtS5+TngNEvtMl49hwDod3LZUoIxsJeG77AmQudYQ0a22cSFcfrZckNlZRjGoP3gCdOtYF17Cz5/UGy6e0VfhMxr3NZRo0QOqN+4Mleu1h7K1WkGJH2TXTjo4UJbvI3XXzrfwQEV37KSDIHXpFNfu4YHfJnsacd2eahC7ZE80jiXPiWedBcueI3qhZA9Pwl5049rEkblIwYasFyFvyZU+QjXYRXlqObRuOtsnxA/rwbebJ560g2/sgtCJUGCRrrQG18l70o4JtgZCjAh3YxfZCNINKWqIqYYbNeicfVuLX2D/DRY/uV8G5Cmwj0SGOW86gLYFtymWuIUtFnga9ekB3CeYKLHVa6wwlmOTPp3xk108DfFT5zdrtk/JXyjpI2zSR9Bxxyt0kRCN9BFu4TMJL3+2Y21YbMd+JHzGT2MXPyJY/ILlL0gAUfo0Wv5cAhih/JkCmFT582b+Al0+7Zk/U/6Cu3y65c/p8onip+VPZ/2Ko/w17dAfJk+fB8+/mhO+LVwKxk2eAbMWrIKps5dJ5miWw9S5dAd+yfS5KyTzAszwMn+lYKaHL74pBrv3HYaZ4maPxCqxTP0aS5pnywTbly2DVUP6wxpk7ZB+sG6oZAOyEdk0XLJ1ZB/BdmSHYmcMoHKoTF3+lhF95DLV8vX6rBs5BGYN7Acd69eH9595HGbOXQw9B45FuUbp0+KXXOlrhYKQu/b38FC516FJ9z6i6+Vzzz0nhGLwkCEwf/58l/it2bBNPB4g8NgG4+HsKEXU5XHiDBK0xfIZfLOpyybtKPq6PHktnuyeqTN4i2EyITJ0xqMThKSpG6QYN0kRN0rRz87zQnfLVDjP0BOoxyeoDJ24g6aCBM6L0wVTMYoep6Aeri4fsB78SAWCJFhk7DQoduL6O6wn6o5J0PWQgtHTRB1qKHNHD1sn6A6p1I223/BO8A2K6avVB4mHsPcZOgl6Y/33HjJB0GOQfEwDPZS9Q68R0KbbUGjeyXxUQ1fxqAYny1elMXyPB4OvStbCA0giHmSq4MGogjhwvf5xKchJB006+L4XXvbcmT3ZlTMge/qvot/iiTJ0Vi9y2dMkU/Y02Ii1CV9ypE9jEz/njp4e8ZM3dfG7vo9E28z4SfETJ8P0Jn4ZUPo0NvkTDRvRAMIGk2hI0X5PDTHZeBONOdrXaf+mfVv9EcPp5mnsnwER0eIU2D+Shp4/nYDbFEvc0hYtRmM+vYD7AxMltnqNNbicUNJH2T57N099/pOY4heQPrv42YTPIRni5xY+k2DBC4Vd/DTuY2YA+3E2JLZjvyIy6TMJFj8iWPwikL+PlfgpguTPK4CG/JkCGMvMnyl/Ia/3CyV/3rt8Gtf6FUPxIxq27oXt9SXwdeHykOW1d+DpF7IInnkhq+TFAPR4h0wvIvSK0DP+BC8T2eE5C8+/ksNF1pxvWMmW801JLgUN0++TSaHH7oOPHg7w8SPIo/+ETx/9F3z62P3w2eP3w+dPPACfP/Vv+OKp/8CXTyPPPAxfZXoY8md6BPI/+6jiMfgGoVcbX1uGfaX4Euf/ItOj8Pkzj8BnTz8Mn+JyPkE+fuLf8NHjD8IHjz0A7+P6EEWefxSafPYezFu8Ejr3GQG1mnSRCPHrKsTvUHKkj673q9i+OeSrXwJaogB2HzAGhg8fIQTvd7/7HXz77bdQH21TS9/q9Vuh1+Dx0AcFhMSP5EU8rw+Fh8Ro7E8kV/NRzOgh6FLihNihBJrX0Um5Uw9KtwidEDW6Ng6Rcha4AYpGyJmJR9SErGk80haQN+pmicKm0fJmokVu3EyxrQLKynlRIkfXOwqRQ4kjkZMyJ4WO6kzTbzhJ3WQhc1LoUOaU0PUiBk+AnuKOnDmgfKdx0GPgOOhODBgrrt/Tstex90ho13OYEPhmdPMW8UD2XrhzdIMfGnWCinXbysc04I+7QPkGojvAZ8Wqw0cFqoqDz5tflhN3scpFB0o82OqHrItuh4bwObJHsoJQA1jfqMURPUP2pPDRSZJOmHTiVCdQPKEGiR6BJ11/0ZO4G3lSrpIFNWCV6HkJiF/k8ifmVQ11LX2EkD6P+FF3V+duntg4sHfzlBk/vptnyuArfVjvsvEjG0wy24eIBpxszFHjTuzvtH9TI1A0DGkf1vupex+VwhTYP5KGnj8dQduE2xYL3L/nWOJp1KcVdMxiYoOtfmMFlu8615jnJUP8rNk+wiJ9LvET8pey0ufgyJ7GLXXhcEueF/cxMxj78dYX2/FfQecVIX6EVfRsBIsfkQNxi5/GJn/U1TNwkxdT/GyZP2/2zyt/tswfiZ+f/JH4Cfkj8fOVP/vNXpzr/TzyZ2b9bPJXRHX5JPFr1nGAuPyKLu2SbBXtfrrRi4aSP4KNkrXO63bJJjfrvPy8w2G9l83Gq4cNnveSnQbe4d5p/D6nX3oNGgs1G3cOSJ8Wv7DShyLQuJ3x2aBp5/5Qu0MX5zM9MH3s2LGQNWtW+MMf/gC///3v4YknnhA3eFmxdrMQDrpTJElKvxGThdSQ7FBGS8sfCRnJGmXXzCycN/smMm062zZZiltA1HRGTYkZlm2iZcyExEzjCJpgugTlTL8GZE2iM3CDRAYOGUXiRhk4iRS3KdBfY8hbXyFvSuCGEkrghMRNhJ4ocYJB40V2rscglDiEJE4IHMp2V5S4Lv37QNnMuuum5NMGUuwIyua1J3oOh3Y9hovMXssug8QPlWSvAcpe7ebdRZfOKvUpwxcQvu+V8OmHsedTN2/Jrbt14kGTJEPcqIVOHmFkTwgfnvBE5sOV2ZOiJ2VPoU+c5slUgyfZpMmexpC4JOA0qEnUQhAT6SOE+KH0oRQ8i3Igr++LrJunkD51cky31/elRMbP2ziIMeG6eeqMn2xIUUNMN96oMScbeKb4BfZttc8a+2hAmAL7SOSY86cjaLtw+6Il+DcdKzyN+rSGjmFMbLDVb7Rgud5zjk38tPQFi5/K9tEfhfzEj44hKHQRyV800oekqPSFFD/78TYstnOAgs4vAamLFLv4RSZ/pvS55S+azJ9N/szMnxY/U/7MO32S/AWu9wvc7MW83i9I/rC9R+IXuNGLmfWzPNjdyPoVr6av+WsGpRKbi3YkoR/qLh7sXqs1lK/dBsrXaSN6k1Wg1zptoVLddoLK9fAVqVy/vaBKgw7YLm0vnhlNVGvYUfBDw04IvjYiOkHij4h6rf5jZ3ztLNq01ekzvSpqNO6CqPcoQ/TehB5VRsLkHS4Q0wfP49DEMqxxpwiwTW8b5h3uHReAtkGA66TFj7p5+kofyYCf9NE4MV5Ph69Nkc79RokbsSxasR4WrdwAcxatglEoYJ36jIJOfUcJQSFhoYwUdTmkm7vQdX4kf1KsZoi7T5KcuYUN5UzjiJone6bky8mYUdfHkZpAF0hv5qz/8ABOFm04CpjGyagpjPda0HqhoAkGq0ybQoraeJlpI1FzZG2sqAshbP1GO3SmeuozUtCRcIRtuKCdkra2PYYK2nQfCq27DRHPT6SMHWVdW6DMteg8UHTXbKZBuaO+1+KurO37Q6O2faBB695QtwVdTNtN/ECqkuzhD69MzZbiGj76QdOPnQ4C9NehDwtUhXx4YMn7VTk8SJHw4cEQG++U4ctMJww64QjZk41cP9mja5sE6gToK3oKOnEmRfQIe4NO45a5UFgb1Ibg2UhaN09jXlW+bzdPrAchflh3VvEj6cOTr872EfrEmC6v70sJ6dN4GwcxRIqfR/4M8RMNJtGIot8DNcZk40025qiRJ38Dgev7Avs2fd/2jJ/PvhgWc/50AG0PblescP+uY4GnUZ/W0LGMiR22Oo4WVbZz/tHnKo04j9FvXaHOezrbJ6RPE630aZIpf27p0wQLnh/2G7sQ+vgoj5WuY6fAfqwNi+3Yr/Ce7+yS54dd/Pzlj0Dxo0tdFH7yZxXAZGb+TPnz7faZBPnzu97PvMsnyV/gRi9S/grrrB++CvFDzEc86Mc7lBbP9guIn5A/JYBa/KiHmSl/LvFT0ucSP5S8IPFz5E+Jn5BABUqQFL9gCQyNOY1neqvoeTGEDNfD9dkZ5pmWhtmGC/QwE3O8pKbAED+SviPHg6VPS50QOkP6zOEu2kvxa9IB5Q/FgroL0l0+WyIkI227DxGyQhJDXQu79kP5o8wfChFltIRYoWCRhFFWjDJksqtjIGMWyJrhNErYKGMouzoiQsRIwuR1a05Xx0GEzJCJLJnKlAkGBHBkjLJnGq+Y9VVyhq+aTgJD1kjUeo8IZNcQIWtI2x7DBCRrUtiUtGEdteqC0obC1rIzShu+Nu80SEkbChtKW5MOiLqrahP1XTRqS/QRj1ho0KaX6J5J0IPV67bsAXVadBePXqjTrDvURmo16yau16uOOy39QCirVxF/aOVrtRE/yBLVmosfMf2w6QcvHs2ABwc6aLxDwqczfHiAo+4TQvjEiUE2cKXsSeFzunHSic0je/rOnC7ZI0zRM0HxiU72goUuFPYGtMIUNQtJ7eKp0eWH6+YZ8sYu+F3QSdbVzVOdHNNdxo9Oymq9vCfsqPE2DlKAoIaLI30E/iZEQ0o3xOQfQqgxJxt4hvjh/u3u5kkE9tuANMn9I2mY86cTcLtiRfDvPFYYjfq0hI5pTOyw1XEsUOXL327gMQ5aAMV5TZ3jSPys2T6Flr4X6Vyqxc8RwAilDxF/dPJIXSS4hU/jlrtQ+IsfIY+TQcdOgf04GxLbsV/h94dOu+SFIlj8IpU/57EOFgHU4hdO/rQAJlX+XOLnK3/+1/uF6vKpH/Fg3uilsMj6NYEilQLX+5l3+gxk/VpC6RotXVk/J/Mn5K+tkfXDVyPrR9k+arNqAQzK+CEke0L+9KsjflL+SAi17JnojJ94rzDfB+MnXj7g8l1CJmTOhmc6wlf8zOF+45X4ofRp8QuSPnowt1fqKONnG040UpD4/ajEjzJKQv5QVlqguLRCiWnddQiKzjAhfyRElP0jaerSf7Topth94FghZdQFlLJkZvZMZ86kwI13rlPrhvM4oibkjK5XUxKmRExnzDqiiGkJc7o6CmidJDqD1haFjAiIGYLr38pCSyVrLUjWEMqwmVk2EjYpbeoxGCjRZv01bEPSRreJ7SWo36qnkDYtbrWb021t3dImxA2/PLHD4s70A+4U1XAHpx+A/ksI/Uj0D4Z+QCR31G2T0un0Y6MfH/0Y6YdJWT36yw39mEVXTvzh01+BqE84HTScm7bgwSoXHtjkNXx4oMYTgmjYvoMnJDpRCdGThJI9meUI4C97xl9MkUCjOIC90WbiFrpw2BvPFgzRs5FU8dPlurt5yswPiS518/SKn5A+rHfqSktiQdnWjNjNM+bi520cpADBjRYz20dgY8lpTFFDjBpu1KCTjbtAN0+57+tungH5k/tuQJjk/pE0zPnTEbRduG9Hi/33HguMBn1aQ8c4JjbY6jeW4DLkb9ctfXQuk+c4LX4y22e7vk+gxQ/xk77I5S8gdJESjfRp7PKHx0lf6ZPYjrVhsZ0DFLESP6/0mQSJ38dS/JzHOqQ3+cN2XZKv94uoy2djmfXDV/NmL7q7Z0D+UPwQr/hp+Qt091SZP0P86I7yUv5k9i+Q9evgiJ+T9dMI2ZPyJ99T1o/azm4BJGky3ycdj4QJ0TPe4/JcQkafkzSMyjKGOxjLsYw3pY+ISPoooySGe8Zp4XPEjxBi01dko6jLZzOUneYoPc07DhRSRJLUqtsQlCopWSRd1HWRsmNa0HR3UCluBr1HiemcTJrT3XEYtBHdHVEssWwpaCRj1N0R6SQzZ1LGBjjQg8hJTmXXRyWsJK7Ij0LOFLjdVAda0CT0ubeAukrWb21m2ZAWlGlT0maIW82mUtzoLwuUcaMdkXZQQcOAuNFfNKS4tccdX0kbov8iUq52a/E4hTI16AfUQvyYCPpx0a10i1drCkWrygttReqdfpD0FxmEBI9+sN/hj5f+ikN/zfm8GN2Zszp8hAcBOjDQAeNtPIjQweV1PADRw9fp+j26NbK+hk/8NREbs9SQFeAJSwufPJmFlj3KchChRI8I/OVUn1TpJGtrrGncIhcOe4M5AjyiZ5Jk6aP5VLnW6/tI+rAO6Po+58YuZrYPGwX6xi703dhv6mI/CaY5av1iiq1xEEOCungSQvqk+Onr+1wZP9F40+Infx/yN0ENQr2/6308sC+7pSmwn0SGd/50Am5bLAj+7ccST6M+LaFjHhMbbPUbK7B8R/zMu3riuU1n/MS5T5wTCX2uNLp6GtIXzWMciORk/GIhfYRN+iIRvyRn/WzHf0W4P3baJS8YavtI7OJHuKVPYoqfXQCTJn/RdvtMqvyR+JnyZ+vy6TzbD8WPEO3MSj+K7p5C/ijr51zrJ9uppTzdPf2zfm2U/Cnxw/awV/wCWT8pfiL75xG/QNZPSp8QP5QkIX/0qt/r4QoSKfO9/uyWrBCfHVmj9/qzB3MYvdeEGhaEWoZ1nBI/HB9W+mT3QTdCgGicjbZ9cDyC7+X1gFL+mqA4CQmk7F8HmQmj7p/UjZGyZKJ7o8qcUXdHyqzRzUbk+wByOpyHoC6QdO2avn6NMmrUBZIyajqbRuuKgkaIbFqbXihoErMbpIMQNZSz5opm3UR2TWbYDJp0RbqI1xqNZXfJ6j8qgUNE1g2hh5sTJHAkb7TTCoHDnZgybtStkihbE3d2hHZ8U+Lo2roSlI0jicMfDv3lRNw1CQWOUuoE/cgK4A+ObrjyXbn68G1Zop74YeYvXUcIHf1Yqa+2/AHLv+J8VqSG+IF/jD/4DxE6GLz7TWV45+tK4qCR54uySvZK48GLsnt4kHyfDsh0QKeTAwkfnnRIOoTw0UkrcAILJ3qyW5vEJnsB0QvwlNMQtuEWuUixN5QjxJA8L8np4kmI+VX5gev7PN08sb6oXkkagrp5ioyfu5snoU+O6VL81Ak65ngbBymAu7Ei8YqfbHiphhg23qgxJxt49Fvxil9A+kzxk/tqcvdXPW86ArcrVgQfC2KJpWGfFmhhYaLHVr+xAsvXf5h0wHOXI37mudARP+oNk3zp03iFj4iN9GncUhcOt/AR+tio5M9y7AxgP95asR37FeGkj7BJnh8B+YtAAB3x04SXv1ACmNTMX0D8fDJ/1i6f/tf7BXf5dGf9vi/fULRFncwftk9l1q+xaLsGunvKm7wQOuvnXOtHbWFX1k8mO8ysX9LELyCAlFRJxPdC+BAhf0IGDQHU0GcxLFgCicB7Gk9iFRgnRUu9V8tyjafPYpiB/qzHmdN4h+nhVvRygsfpjJ9d+pTg2UGJIsHzQsMNhPwJZHmE6CaKiG6O6vo/yraJ7qCqGyTJm4AycRohdOpGJCR16to26lKql92QaBPIuNHz5uqhxAmRMwVOZdn0XXjkFyuhL9+ddUNxa0CZtwCVVQaOdrZKBO58JHIVCMrEIeVEJk7KHEE7dEDmWuBOj0InsnHNxF9BvDJHD0KnHw79BeV7FDktc98gX+MP7WsUuq9I5tSPkH6QMiVfAz4tKv9SQ9fiUdaOfsgfFqyGP+yq8B7+wN//Dl+/VYKHB4F38MBAB4g3vygvDiJ5PkXZw4MNPXeGDlzZP5DdOelALBuydGLAE4o4EdGJSWX3qAFLGCcyl/DhCc8rewI8GZp35/SKHuE+aXsbZW6JiwR3A9TWSI4QQ/K8BK7tS5r8ifmNZTxF4DqLbB9uv62bZ5D44fdDJ2ndxUafSF0nwghOhqkGSagg+KQdFbYGQozxz/jRb4UaP9hYEo0pLX6yAafFz/kDifid0G9C/xZ0ozGwn0e333rnTwfQNuG2xQr3cSFWqMZ8WuM6BjJRYavfWGEsxyp9hD4nCtS5Uv2x1BG/N33Ej0CZs2GTPkEyxI9wCx8RLHahsHfxJGIsfYTt+K+Q5zvjfBMCm+h5cYtfCPkT1/eZ0pc8+XPEL2r5C5H1C5K/8Fm/4C6flHhoIMSvAN3opQIlJuTNXrT4ebN+Jb1ZP2orW7N+EhK/QNZPYYhf1QbthfhJlPw5Aqgyfkr0BJ7PAR9wvyeREp8R73stVQH584gglkGi5sgfvWrUvHq8nEaNUzjDPMOdYUHIdbBB4meVPq/ozV28Bpav+dnNWgPvOF82KeTnFcTazR5o2M+wUqE/C5xyjPJWS5YJNsJSxZLVG2DJKsVKyWK6q6hgHSxaLlnosDbAsrWwwMP8pWsc5i1Blq6Wr0voVTKXWCyZs0gye9EqycJVMGvhSsHMBcQKwYz5xHKYMW+5eM7J9HnLBNPmIvrh9LMDD6f/aZZEPpje+3D6hTBRPMNQPqB+vHh+oXoovefRF/qZhfKh8po5MJqeTageIh+4gyrdUTVw51R991T9AHn5OItpMMRkTBhGT3VBd131ou/CGswU8TzD2PFTijEwidjKoHUcTOB2U72IOhtDYD1iXVPd011sh+H3MJzugDuewO9JfW8SeUfcYPR3nV6wrWMyoW1OYQJ3GPaifjMmzu9H/nbE74fuWizuQCy/S/37cP0OXPuqiW1f8cM2PxMeqv90BO0PTPTY6jaW4DLM37CDPv95UcfwINRxwgWdfy0Eji8xwnv8SiaBc5DGdrwMxna8DYvtPOBgO9/Y8T6bOXnQI8Qk5nOgk8qYnzSBNhvhfQa1QDyfWjJOo9p81AbUj0Kb4LAA24oLxHOvqd1IyGdhyzYltS+Jnwh6djZC7VBCtEuxfUrtVMFcAtuvBLZlqU1LbduZghUwC9u7kpXYHlYsWinu8h8g0IaW7esAZht8/lLdJsf2OeFpry9cZrbtA+39Rcux/S/A99oH9DDHD+wE/CEYc5x3OvrsHW8OMz8nbdi6oGEmM9AjbOIXJH024avfuCU89NQrDMMwDMMwDMMwTDqldoOmVvEzpO9Oq/RRRu2hp16Fc+fOwa1btxiGYRiGYRiGYZh0AnmahsSPMn5Jk742AemzLYBhGIZhGIZhGIZJe1zS57n+z1f66JEEpvTdvHmTYRiGYRiGYRiGSYcEZfoM8QuSPnEXTIGUP5Y+hmEYhmEYhmGY9M3ly5eDpe/HjlAdsWT63I9eCCV9i7YcgwkrD4Rk/4mL1nn92DijDqwcXQDWjisEGycVgS1TisLWqcVcbJ9eHHbOqQin9y+ylvFbglK5Z8+edfXlNbl27RrMnj3bOm+sOHXmEmz55SQsWnMIFqw+CDv2nYEz569Yp2UYhmEYhmEYJvacP3/eLX1C/KT0HTSl73AI6btx40YQ45bvg93nbsLm41dh49HLsO7QJVhz4CKs2X9BMGLRL2KavcfOW+e3QcIHl1vDiR21YOfCcuLzzqUN4cyhUQCwxuHq+RmwdUZ5axmhKFO6DJQoVhxmL1gGB4+egUPHzsLh42fhyIlzcPTkeTh26jycOHUOTp4+BwsWL4dyZctBzeo1rGXZCFX+4V/2w44+/eDo3oNJKn/u3LnW4QRJ3+nTp325fv06FCpUCObMmWOd349Qy9Scv3AFxszaCY17rYNq7VZBoQbL4Nu6y6Bcq1VQt9s6mLpkP1y6fM06L8MwDMMwDMMwsYPa/iR99FgHkj0TV6bPlL6GbSShpG/M0r2w9eRVWLr3LCzcdRrmbD0B0zYcg5/WHoHJaw5D72mb4PAVENPtiVD8SPJ+vdQKfr0ouX6mORzfVkvK4N42APsUZ8fA5Imfw9PD7oYmS2tZy7JRqGAhKIwsWbEWDp644OLQyYtw+NRFOHL6Ihw7cwlWrF4nBK5MqdLWsmz4lb//yFE49NO7sDLHS7AycxbYv3lXxOWTgFHYxpHVnzp1yhdK8zZq1AjKly8PK1assJZhI9QyiZNYRy36rYXiP66EbxushzcrrYNc5TdC9rIbIFvpNfBa2ZWQt8IS6DRyG1y4dNVaBsMwDMMwDMMwseH48eOO9FF2jwgpfVr4wknfyMV7YNupa7B8/1mr+DUbusihydDF1jK8kNzdOt9ScPMc0UJAw69vqAa//pwIsKW6YOK4z+CxgXfC/f1vh6/GvGctz0vRwkUEy1etg1u//tfDr3Dz1q9w4+YtuHb9JorbGjFtyeIlrGXZsJV/8+YNOLv6G+hY/WF49I47YOQ9/wvbOnWOuPxw0nfixImQXLx4Ucjff//7X2sZNkIt8/zFK9Bx6EYo1Gg15G+wFd6sshlaDz8Ea7ZfgLU7LkLHsYfhzR+2QLZym+DV0iuh+/hfOOPHMAzDMAzDMCnI4cOH0dteVtLXwcEqfabwmdJH3QS9DF+0G7advgYrDpzzFT/K+FFXT5rWVoYXkrsbZ1qIDN/10wFo+OU1VeDa+mqO9K0bXwiW7J8P9/X+K9zZ7U/Qcl5ja5kmBb8vIFi0fDXsP35Ocuwc7EP2HjsLe46ehd1HzsAvh0/D/CUrxbQkZraybNjKP7iyKoxt/yz885/3QYkP/xe2jnkNft6+L+LytYDZxhHHjh2LiCtXrljntxFqmWs2H4UPKs2FQk13QubSG2HeunMon7dw6l/hFkromXNXYfzik5Cp1GbIVmUbvFJqBSzecNxaFsMwDMMwDMMw0XPgwAGR6VscSffOhm16e6Rvk6/0DZm/C7afuQarDp0PKX4kfTStrQwvJHfXTjaDqycUx5vBFYSGn1tZGS6vrQLb1hSHD8dlgo+GZhLzFJr8Nfyp/+/goZb3BpXn5btvvhXMXrgcjp6+6HDk1AU4jBw6eR4OnDgvJHDG/KViWhIzW1k2vOUf39YTlo14Bx5/7GH4KOfvYPv4p2DV2pWw+/CpiMsPJWAkcmT1kXDhwgVrGTb8lnnx0lWo23kVFG/+M+SqsAmeLbIefhx0ABZtOAsVu+6FiUtOwZXLV2HrnvPwbv1dkD1xJ4rfz9Bi+C9w7kLk0skwDMMwDMMwTOTs2bMHHnpaSV9jlD0Dkr4/+Utf75DSN3DuDthx5jqsPnwhpPjRzV1oWlsZXkjurhxrCpePNoHLR5rAJQUNP7GkAqxeVAhyj3kcxp8eBe+Pzy3m+Xjw20L6/trw90Hlefn6y68EU+cshrW7jsI6ZO1OAuUUWb0D2X4YViKTZi4U036X/xtrWTbM8rduHA8755WAV19+DnK9+GfYPOI+mDB5BMxbvQ1Wbou8/FDSRyJHVh+Kg6dOwYGjR8XdPG1l2PBb5tnzl+H1EtOgSPNd8GKxDfBq6U3wcplN8Hzpn+GZkj9DBRS/yxevwLod5+CVajvh+co7IUvVXfBFo01w+MSloPIYhmEYhmEYhomenTt3wiPPvApLVq6Hmk06Qa0mnR2E9N12p1v6GrSWNES09NGt/730mbkVdp69DmuPXggpfnRXT5rWVoYXkruLhxrDxYON4QJx4Ec4j9Dw+TO/hS+nvQYTTo+GyhsKwcPd/g7lJ5SAuzv8WUjfn+v8zlqmyReffS7o0msATJixECbPXgJT5i6DqfOWwxRk8pylMHHmYhgzbT506tFfTEtiZivLhi5/3KgucHR9A3gnb0546ek7YE2/v0LPztWh95AxMB6Xm5TytYDZxpHIkdWb7D18GPai5BH7zp+HtcWLw87x4+HsjRvWMmz4LfP02UuQp9Qs+KjWFnipxAZ4vvhGeKzgevhPgY3wXv2dcPLkRTiE+0OLsUfh+cTdkLXuXnijwX74uMEmOHDsYlB5DMMwDMMwDMNEz9atW+HRTFlQ+jZA7WZdoXZTogvUadYF2+fH4c+3G9KnhU8TSvp6Td8MO89dh3XYmA8lfvQ4B5rWVoYXkrvz+3+Ec/sawdk9REM4s7shjBn9CXwx/TWYf3kWlFnzEWSf+gA81OXvcH+32+AfQ6T0/aH6/1nLNPn0o4/tfPxJAM+4Lz79zFqWDZq+dJFP4fD6VvDd1+/BM4/fB0u6/xEqFngG8ryeGz7+4MMklx9K+ugOnWT1ml3798O6Fi1gTWIirKlRA9bVqwczX34ZJv7+97Dxhx+sZdgIJX05i8+EdxN/hse+WwsPfr0WHvp+A2QqswXWbz+L63MRhsw7Ca/U3Q+5mx2C3M0Pw8ftjsAXzbaz9DEMwzAMwzBMCrFp0yZ47LmssHT1RqjbsjvUbYE07wZ1kMNHT6D03eUvfctCSF/3KZtg17kbsOHEpZDit/nEVTGtrQwvJH0kead3NYDTOxvAqR0N4PCGmpBv0ouw4MpsKLcmH7wz+1Ehfc9NuAceHvV3IX1/7vE7eLN1bmuZJh+9/4GLTz78CD7/5FMhXl9+9rmAPpOMfYSCpqexlWXj2y/egz2r2kKlsl/D4489CNPb/RmalH8McuXIKcpJTvmhpI9u0EJWr9lx+DCMeeghGPanP8Hwv/5VMOLOO2HkP/4Bw/D9jOeeg3Nr11rLMvFb5plzlyBH8RmQu8J6uPez1fDvb9fBgwU3QsXue+H48fNw+tQFyNf6ELzR+ii82/EEvNv5JHzf9yQU67wbDh6/FFQewzAMwzAMwzDRs379enj8+ewofZugXqueUK+lpC5C0veXv90dLH31W/dCAtJ39erVIDpNXAe7zt+AjScvhRS/LSfltLYyvJD0ndpRH05uqw8nttYTn1eMKgBvjXkByqx4F75Y+HSQ9N094M9wT627YNWuldYyTfK9/Y7g/Xfzwfz582H16tWCVatWCej98uXLIUfWbJA1c2ZnWltZXi5eOAfrZtaAJnUKw6OPPgzDGt0GM3rngqZNm8LEiROTXb4WMNu4Q4cOwcaNGx0279sHQx9/HPr/7W8wEGXPS/+//x2G33MPnMbpbOVp/JZ54eJlqNl5NbxadCn8++s18FCB9fBo0Z/hgx9/gQXrT8HsdachW9Mj8EHXU/Bx73Pw/bALUGzQCegy9SgK4+Wg8hiGYRiGYRiGiR7yjMefz6Gkr5cEnY4gzwuSPil8bumju0R6aTtuNfyC0rfp1OWQ4rf11FUxra0MLyR5JHvHNteFo5vqiM/T+nwHPXp+CK91/w+8O+1RR/qeHnE33NP6L/BE/Udg5a4V1vK8vPl6bsHbb+aFOXPmQO7XXodsWbLCkiVLYPHixUIEZ82aBblzvQY5s+eAN3DavHnesJbl5fCW0dCj+acofI9Ch6p3wNKBmeBxfJ/p6WdE2cktXwuYbdw+lLc1a9Y4bNi1C3o+8AB0/t3voMsf/yjoevvt0A1lr8sf/gDjcuWCs0eOWMsy8VsmPe9v6YYj8Pz3c+DpAmvh4YIb4NHim6Fw+72wbttpWL/jDBTqexI+7HUWvhlxGRJnXYMifQ7Dks1ngspiGIZhGIZhGCY2UGLp8RdQ+tDf6qHHaeEjp5PS94+A9NVHIxQo8Qslfa1GrYRfLtyEn09fDil+9AB3mtZWhheSPJK9Ixtqw6F1tcTnid3zw8iOX8Pkgd/Dax3/Azkn/FtI390N/gzNOrxmLcePnNmyC17PkRNmo3y98uJL8FymTDBz5kyYMmUKTJgwAUaNGgXZUQSzvpoZcpGYoRjayvKydVk/aFv/Q6hf8j5Y0utOKFWiMDz28CPw7DPRlR9K+ug6vqVLlzosX7sWxlavDkMLFYJhRYvCiNKlofPDD0OzhASY0by5tQwboZZ57vwlaDt0C2T6bjE8XmiTkL78rffCocPn4JeD5+Gz7ifhiwHnocbsa1Bu9FnoN+cknLtw2VoWwzAMwzAMwzDRQwkmLX11UfTqtgpAnvdnR/qOGtKnWLZaSh9leLw0HrQIdqP0bT5zJaT4bT99TUxrK8PLqnElYNvc8nBwTS04sKqmkL6BLd6DLvXywugOH8Okvp/BK43vgxdH3Ad31vkTnDi8zVqOHyRbmV96WbxSl8snHn0MHkEpIhEbPHgw9OvXD7p37w4vPPscvJDpWcjy8iuQDeXMVpbJjq0bYdHYkjB74HvQs1F2yP7KE9CzZ094/JFHoy5fC5ht3LZt25wsombZ6tWwDOWPWLllCwwqVgzmTJ4MW3bvtpZhI9QyiROnLkDzQZvh6UKL4emSP0Pmqjvhgyb74KuOh6Fg3xNQcdRp+LLzQegy9Ricv3DJWgbDMAzDMAzDMLGBehQ+prp31kGPq9MywCG6kYvTvdOQPt0P1CZ9dMdI6laY2H0a7L/0qxA/yvhRV0+6xo9u7kJ39aTHOdBz/PZeuCWmpXloXrMsLxfPn4Jti9rAuolFYdfCqrB2QlGYM3UQbN682Znm6Okj8Hn3T6FI70KueSOhW9duQrZeeeFFIWBaxDp37gzt2rWD1q1bQ4sWLeBJlMGnHnscnn8mE7yIgnbixAlreZrOnTpA0waVoU3LxqL8l59/Afr06QODBg0Sr506dYK2bdtCq1atrOXbytT4CRg9o2/dunWwcOFCmDdvnuiuSsyePdvFvKVLYQ7uBJQJpGsAaVtoXm95JuGkj7iEzF51GL5vsgZeLrUUclTdCHnrboXXa/8MpTrvhOVbz1jnYxiGYRiGYRgmtlC7/zF1I5c6LXtCbURKX0+b9PUOXPhnSN+lS5ccDh48KG5KUqfDUCjTelxE0LQ0D81rluXHkV+WiKwfZfoO7N1inSY50PLHjx8vsnwkQStXrhSsWLFCQO9p+ITxE2D0qFGC6dOnw+nTp63laX75ZZfoakllkOQRlN0bO3as6NL5008/iXJIpsjCx40b5yrfVqZGC5h3OMkbZfo2bNgg6pbWna5NXLRokQsaRuPo4k6SRLrL5/Hjx4PKM/FbJsMwDMMwDMMw6Q9yikefQ+lbhdLXooegNtGyh5S+2w3pM4WPIFMk6bt48SKThlDYhqckabFMhmEYhmEYhmGSDiWZSPqWkPSh6Gnxq4UES19LJXz0irD0MQzDMAzDMAzDpG+oJ+Ojz0vpq92ip8jy6WxfUPdOKXv0ID+39NE1YAzDMAzDMAzDMEz6gy4r08/pkzdyoWv6ekLdVpZr+vST2x3pQ1Mk6Tt37hycP3+eYRiGYRiGYRiGSUeQ9JGvPfFiTvmcvjZ9EHpWn0Q8p+/vziMbTkDdFmiDCIkfvZrSR3iNkmEYhmEYhmEYhkk7tKs9+dJrsGztZmjQti80aNfPQUrfPVL6KO1HoldHYZM+hmEYhmEYhmEYJv3x1Cu5Yfm6LdCow0Bo2GEANGwvOXzsFPz1jnsD0ifv8mJK30aWPoZhGIZhGIZhmHTOU6/mkdLXcbDBIDhy3Ct9zfXtPVH88D1LH8MwDMMwDMMwTPrn6VffgOXrt0KjTkPgRwWJn5C+O+9zS19tEj+Flj4ODg4ODg4OGbYTLVGiRAmGYRiGSTW856GnM78JK9ZvQ+kbqkDpQ44cP+2WvtrNuwvpk3SHJSx9HBwcHBwcrvCeZDV0Aubg4ODg4EiN8JO+5UL6SPYC4meRvoDwsfRxcHBwcHAEh/ckq2Hp4+Dg4OBIrbBJ31NK+hqi7DXsqKVvKBz2Sl+tZih7BktWBkvfr//9FY6ePQEnL5yBk+dDc+zcSTHPf//7X/FqxuVrV+DE+dPueahMG5ZxJ/T7i+7hp4iLZx1Oay6dE5wRnIezmssX4Bxx5QKcv3JRcOHqJbgouAyXrl0W63r5+lW4orh64xpcu3Edrt28Dtdv3oDrt27AjVs34eatW3CL+PVX+JXA7aZt11t/+PBhWLFiBaxctQpWJYGlS5fC2bNnVSkcHBwcHGkZ3pOshqWPg4ODgyO1wi59eWWmr/MwJCB+buk7gtLXtLuAhI9ebdJ389dbMHDhWPi8fTko0PUH+L6LDzjuqw4VYMKqWWrOQJCMtZjYA8dXdM/T7QdRZoGu1eQrfUYK4vuCXROhEL4v1J1eke7VoTBSpGdNKNKjBhTrVROpBcV714aSfepC6X71oEy/BlB+QEOoNPBHqDKoCVQb0gxqDGsFtUe2gbqj20PDMR2hyfhuYl3a/NQHOk4fAF1nDYFec0ZAv/mjYfCi8TBi6WQYs2IaTFozG6aunw+zNy6G+VtXwNKda2H17k2wYd9W2HJwF+w6ug8OnDgER84cQyE9jTJ5Hi6hNF5DQaQ6u379OqxavQomTpoEs2bPhpmzZkXMbJx+6NChsHfvXlWDdpHm4ODg4Ej58J5kNSx9HBwcHBypFTbpe1pI33YUvuGKYdCw0zCje+dtUvpqNu3mYvHKDfDQ08GZviXb10BC/ofhz4WfC8Gz8MeCmSBv04JivkC+C2DC6llwX+ls8PsCT4vp9Dx/wvd/KfI88pyL23AccTuOu72o5G/FXoQ7ir8kuLPEy3B3qVfhHyVfhXvLZIV/ls0OD5TPCQ9WfA0erpwHnqjyJjz9w9vwXPV88HLtjyFLvc8gZ6OvIU/j7+Cd5oXhw1Yl4PN2ZeHbzlWgMApkKZTGCgMaQeKQ5lB3ZFv4cXxnaPVTb+g0YyAK4XAYtHACjFo+FSavnQMzUQIXbV0Fq3ZthE37tsHOI3tg38nDcOzsSZFJvHztssgCXjh/Hn755Rfx1HwKygJGxK+/iul37twJ7Tq0hzVr1ojPIoOIcHBwcHCkbnhPshqWPg4ODg6O1Aqr9GV5S0jfjyh8hJY/kr7b7vynKX1dFXbpE5KB/06ePw1PVnsb/o7CdXepzHZKEq/Cfyq+rmeWrxgdpg2A36HwmdPfhdPq9/8onSVAqSxwb8kscA+Wdy++vw+H0es/y2SDf5XNAfeXkzxYIRf8G3m4Um54tPIb8ETVvPAkil6mxHfh+Rrvo+x9hLL3CeRs8BW8/uM3kLdZAcjXojB83LYUfNG+PHzXpYrIGJbsW08IXzUUvjoj2kCjsZ2gxaSe0H5qf+g2awj0nz8ahi6ZBONWzYRp6+fD3J+XwVKU4NW7f4bNB3fCL8f2wYFTR+A4Sh91G6WuoUL6LlyAPXv2wMWLF1UtRB5a7vbv3w8dO3WCBQsXiM96OMsfBwcHR+qF9ySrYenj4ODg4EitsElfpqxvw4oN26Fx15GCHxVHTpyB2+76V0D6ajQJLX0UJBh03drIZT9BwhcPCjEz5c3LPQhJkY7j50+JbpiU2bNN7xI+AgXvHkf6sgrpu680vWZVwpcT5S+7kr7XUPryBKSv2luQqXo+IX0v1foQpe9TIX2vkfQ1Lwj5WhaGj9qWdKSvaM/qUKpvXag48EfRFbTO8NbQaJyUPhLVHrOGofSNgWFLJsO4lSR9C2HuZpS+HWtgzR6UvgPb4ZfjJH1H4cTZUyh9F+HKtauO9O3evTtZ0kehxe7kyZOwdOkyaNmqpfisM4EsfhwcHBypE96TrIalj4ODg4MjtcImfc9mfxdWbtwJzXqMgaZE97HIGCF9t999v5S+g0eOC+mr0aSLeu1qlT4du47tU9m+l+Eui7xJXhXZvjJ966m5ABZvWw2PVc4LfxddMoPnCSV9JHoy25dViJ6Z6ft3xdeE9D1UMTc8WuVNJX060/cevFT7Q8hc15C+ZgXhvZZFUPpKG9Knunai9P1AmT6Uvh/HdYaWk0n6+qP0DXWkb/zqmTB9wwIlfWth7Z7NsOXADiV9R+DEOZS+Kxfg6vVrMZE+M27evAkHDx6Eb7/7Tg3hSGrUrl0b3n//fZg+fboawsHBwRFZeE+yGpY+Dg4ODo7UCpv0PZ/rfVj18y5o0XsCtOgzUb72nghHT56Fv/3jAXemr0bTAKGkj7ouVhncVFyXZ5M3B5S1x1HAdPSZNxISvnnENY1v106P9Gnh85c+6t6ZB6XvDXi8Wl54SknfC9S9s87HkKXu55Cr4VfweuNv4c1mBeBdlL5PUPq+7FABvu9aFYqQ9KGgUqYvcWgLqDuirZC+Vih9dJMXup6v/4KxMHwpSt+qGTBt/QKYt3m5I31bD+6E3Sh9h04fE9J3XkifzvRdjJn0UVCGj+4G2qBhQyGBFJTtS8mM388//ww9evSAmjVrQuXKlaEhLnvkyJFw9OhRNUXGiUyZMkFCQgI0adJEDeHg4OCILLwnWQ1LHwcHBwdHaoVN+l7K/TGs2bIH2g6YqpgiOHbqHPz93n97M32KENKntWL6hoXwP98+5hI4LyR0j1V5U1zbduHyRaiKoviHQs8ETUOQ5NFnLXx3k/AhdE2fmeWT1/NJ6XugvCl9rwekD0XzqR/egWer5xPS95K4gYuUvjxNvlPdO4vCJ+3KiLuMkvRRpq90v/pQaWBjqI7SV29kW2jsSJ+8icsAIX0/wfjVs2DGhkUwH6Vv2Y51sHbvFth6yC59dPfOWGb6zCDhKlOmDBw4cEANiX389NNP8OKLLwpJsvE///M/kDdvXvF4iYwSLH0cHBzJDe9JVsPSx8HBwcGRWmGTvsx5P4f12/dD5+FzBZ0Es+H46fNw5z8fMqSvcRckIH6hMn0Uh88cE7JEd9g0Jc6EZI4ErdWknqJLKHW9vMPTtdOa6UPBuxtfKct3r6drpyl9JHziTp0VXoP/VMgFj6D0kWQ+Ue0teDpRSt+LNT+AV+p+DNnqfQm5GuWH3Ch9b6P0vYfS9ylK39cdK0LBbtXEtYZlSPoGNYHqw1pCvVHtoMn4rtD6p96O9A1cOA5GLJ0CE9fMRulF6duyApbvXAfrUPq2HdwFe08cENJ3CqXvwtWLonsnSd/FGGf6KHRW7/SpU9CuXTtYvny5+ByroGs3S5cu7cjd//7v/8Ibb7wBVatWhbp16wrZfOWVV4T00fg//OEPcPr0aTV3+g6WPg4OjuSG9ySrYenj4ODg4EitsElf9nzfwKZdh6HHuCWSsUug+9jFcOLMRbj7/kcC0lcdpU9D0rdoxXpf6dPZvp6zh8P/fBMq2/equO7vpVqfwLyfl0HCFw84GT3NnSVeEa9Ohk+9yq6dRrdO9UrCR7JnSh9l+f5T6TV4pHIekeV74oe3hfTRYxpI+l6u8xFkr/8FvIbS90bT78WjGj5oVQI+a1cWvu4UkL6y/RpA5cFNoeawVlB/dHshfW2m9IbOzuMaxsPIZVL6ZmxcBAu2roQVO9fDBpHpk9J3+OxxOHX+tHjIu35OX0pl+nRs37EDJkycqD7FJkqVKuUI35tvvikeG2ELehQFyeH/+3//D/bt26eGpu9g6ePg4EhueE+yGpY+Dg4ODo7UCpv0vfZRQdi85xj0n7oG+in6T10NJ89dhnsefNyQvh87Iyh9ilDSp2PFrvXwUu2P4G/FX3SJnMmdJV9BOcspROuvRV9wjbNm+ZC7SPgQ8bgGetXip6Tvn2X09XyU5csF/0Hpe6jS6+LOnY9XfVPcxOUZfRMXlL5X634COep/6UgfXc/3QeuS8Hm7cvBN58pQuHsiFO9dB8r1byiuVaw5XEpf0wndoO2UvtBl5mDoM3cEDF6kntG3Zi7M2rgEFpL07dogHtK+jaTv5CE4cvYEnD5/Bi6Kh7Nfh5v/TXnp27x5M0yaNEl9ij6oLC18X3zxhXPdYKjIKMJHwdLHwcGR3PCeZDUsfRz22Ad98wUuiZDkg77p5JQ5PzEB8kW9MvMhEbcrfDn26WgddN0kzscB+/pCYopXUKTrzMGRPsMmfXm/KA7bDpyEoXM3w9A5m2GY4vSFK3DfQ08GpC8Rpc8kEumjG4rUGdkO/lgoE4pbQOC8UDbv9mIkhu4snyl996Ds/bXo80IMb0NuL0I8D3/D9xr9MPY7i78Cd2GZd6FQ0nz3lUEhLJMN7lddPR+qlFt083yy6lsof+/AC7Xeh1frfAzZ6n8hunjqbN9HKH5fdCgn7t4pHsxOj2wYQDdyaY7bJa/po+6dnaYPhJ7UvXPBOJXpmwMzNi4Wmb7lKH3rUfq2H/4F9p44CEdJ+i6cdaTvVipk+mItfc8995w4+N5///3OA+WjiePHj0PHjh3h22+/FXfNLFSoEPTp0wcuX76spggOukNp165doXDhwvDuu+/Cp59+CtWrVw/ZjbVv376i6yld60jdU2mZtLzvv/8eVqxYoaYKlr61a9dChQoVIF++fPDll19Ct27d4OrVq2KcX1C99OzZEwoWLCjmIzmmm9wsW7ZMTREI+iHSjW9o3TZt2qSGumPixInirqJjx45VQzg4ONJjeE+yGpY+jqCYnyjONV6x2Nc3n3V4qofP+iU9ohAoFLx8OK+QPRGpJWMsfRwZO2zS9+43ZWDn4TMwdskuGLMUoVfkzMVrcP8jzwSk7wcUPSLxxy6Q2Dh8pu+/qpPnsMWT4N7SWYOu1TMx5c427B6c//cFnxbX09HNXjTVBjeDaoPk6w/EkGaQOKS5Q/VhLaDGsFZQc3hrqDWiNdRGUauLElpvdHtoMKYDNBrTCcWtCzSb2A1aTOwuBK7t1L7QcVp/6DJjEHSfNRR6zx0J/ReMhkGLxos7c45ePhXGr5oJk9bMhqnr58OsTYvFXToXbV8Fy3auF8/k27h/O2w99AvsPLoX9qDoHTp1FI6dOwmnLp4VN3ChG9eILN+tm/Drf/8LFzOQ9K1Zs0acBIjWrVurocmP4cOHw2233eaUafLggw/CunXr1JSBoLuD0jWEtnmIxMRENaU7tMxNmzYNPvjgA9c8FStWVFMFpvvxxx+hRo0aznWJJiS+fncmnTBhAvzjH/8Imkfz2WefwaVLl9TUADdu3IBnnsEfG457+umnxWcztm3bBr///e/F+EGDBqmhHBwc6TG8J1kNSx+HK4Jkxh1S/BJRPdImtHgSLH0cHBkvbNL3YcGKsPvYBZi8+qDiALIfzl6+Dg8+/qwhfY1Q+hDK8pH8RZLpozhx/jR82aF8yBu62CDp09fu0WfKzMVrkABkFOlr1aqVcyLYtWuXGpq8IPnSQkUZO7rD5/79+8VwugkMDb/33nvh1KlTag6As2fPiuH33HOPELI5c+aIx0XMmDED3n77bWfd5s2bp+YIhJa5V199Vbw+++yz0KhRIyhQoIDI+unQ091xxx3ile5OSlnCcePGQbFixcQwIk+ePGqOQNCz/bSQPv/88yJjuWDBAhg/fjx8/fXXzrwff/yxmkPGokWLnLpo3ry5GiqDlkPD6dpJDg6O9B3ek6yGpY/DDCFV+fqCr1KQ7CTieGMCU8QImzCaXSEJt7RIkaE/jIYqQ2b4qItpEsRHyVlg2aaw6nLme7qyeruxepanMo0O+fK5l2GtP7WN8+Wrnta2Dd76tNWVHibrNVjCxXCjEt31j9OLbXDPF8lyE+cHd/sN+q5C1jnHbz1s0vdp0aqw7+QlmLHpGMzYSBwVnL9yA/7z5POm9HVyiLR7p76DJD28nLJ9IntX0i55JjSdI33IX4o8D+2n9hdlxWNcu3ZN3PCEunmmRMRS+kjO6OBy++23qyHuoCwVdX30Qt0pzaDPDz30kCirbNmyamggqC4eeOABMZ4ybmYMGDDA2vXz+vXr8O9//1vMY2budGiZI0ikaL1sYU5HXU29mbdatWo540nodNC1jXr5OXPmFN+rN2hb9LwkrGYUL15cDP/zn/8Me/fuFcMGDx4shv3xj3/0vVkOBwdH+gnvSVbD0scRCNmgt4mIX0hRMCRJNfjNMoRwmCKkpMmbJYtcDtzi4xtB2TjvugQEzJwmaJtsywsqO9w6WZblV1ch69OzHMs2eofJMo26daQ1MCzS5YatK8v6BH3/HL/psEnfFyUS4cDpKzB322nkFMzdegrmbDkJF67ehIeeeiEgfdW09P0oXyPN9FGs/GUjvFTrI7i96Atwl0XyNFr2hBziZ8ry/aNMFkj4+j9w+Mxxp8soNaanTJkC9RrUh2bNm0HL1q2gXYf2vrRp2waaNmsKTZtHRrPmzbHMltC+Ywfo0KkjtG7TRizHNq0fNH04aDpat/kL5sOx48dcXf6SGqEevB5L6fvwww/Fwejhhx9WQwJB0kPCIg9ybu6++26XqFFmjoZTVuzkyZNqqDvoGjeaJnPmzGpI+Pjuu+/EPLSe3tAyR1lCuo7QL/R0dK0gXZfqDfrhkITRND/88IMaKp9ZSMMI6gZrCxJTWj5NU7RoUTVUBj3SQncL/eijj0RWU0/LN5Xh4MgY4T3Jalj6OAIRTly8YZ9eioAWCjmNS0qC5lNC4Z4oRES4nk5mUH0OCr/letfZsrwguQm3TvZluerKJnAYtvoMLEdl3oyZIinTJYJJWG7Yugpb5xy/9bBJ31elqsPBM1dhwY6zBmdQ+m7Bw0+/qKTvMEpfw45C9qo1kq+LlkcufRTfdamK0kc3awm+fs+X0pnFjVtqDW8Nv/4XG99KbChLdOzYMdEl8sjRI7B02TIYNmwYDB40GIYMHuJi6ODBMHnyZJFJ27FjR2h27oBDhw/B/gMHYPXq1dCvbz/o3bs3zJ07Fw4cPIDjDsOuX3bZ50W279guyti7by8cPHQQ5wkHlnnoEJw7f04IkzcbRhFK5rzhN20spU9fC0c3cfEGrT9JCj2TT/O73/1OTE/QzVd0aKGjLpZ+Qdev0TR+WUVb6GcHvvXWW2pIILTMNWjQQA2xh54ulGhlz55dTENdSnVQd1MaRhnKUPHNN9+I6eg6Pm/ozB6hu6HSdCSLHBwc6T+8J1kNSx9HIHzExckMBRDT+DXwhUT4N/ylTJjL8Vmub0Q6vRIV32n9yvEOt0yXTOkLciazrkLWp543eDluOXNLoHucEWJZangylyvDO1x+9q9zjt962KQvf5kacOjMNVi86zxyDhYpLl67BY8881JA+qo27ARVhfThK75fGKn0KQ+hm51kqp5PPKLBK3dBGT7RrZNeM0PCt4/CloM7le+5pWbmjBmQ7dXMkCNrNnj1pZfhlRdfglc9ZMbhFctXUHOEj+o/JEKubNkhJ5b5ygsvwstI9sxZxHJKlygJZ8I8YPzG9RvQpVNnsdw8uV4LSe6cueDdvG/B8CFD1dyhY+iQIWK9cqr1I2i9ihUuAkcOH1FTBctfLKWPujvSQYaELpJHNYwZM0ZMT5jSR3e1pGF0HZspiSZaGOkZf94g6e/UqRPkz58fsmbNKsToySefhL///e9inrx586opAxGJzFFEMp0WN7reT4e+Zo8eUh8q6tWrJ6a788471RB30LrTeILqZ/HixWoMBwdHeg/vSVbD0scRiEi6dxqNfIsMBjAkwjtdYqJVFCKXhKRMH+oaNL9yvMMt06WY9FkELZx8mePN8sTHSKUvGcsVYRseqs45futhk75vytSEw2evwZJfzsNSZMkv54T8BUlfNRS9ag06CqoiSZU+ytTlapgf/l78JUfuvK8kewHpy4LTvgiv1v0UTl86JwoSLoP/UUZpyuTJcP+998F/7n8AHnrgQXj4wX/7UrhAQbEOttCCNGPmTMjy8itieipPl6nfE//+1/3wzBNP4rJ/crr9eQXrypUr0KhhQ7j773e45rVB6/70409Aj27d1dz22LRxE2RD8dTro7dLf6Zynnz0MahZvYaYPiWlj24yog8uoR6PoMNP+ujRBzTsb3/7m5CcUFStWlXNJWPgwIGubqT33XcfPPHEE6kqfUWKFBHT0M1adOgsKD2iIVRQuTQdbbst6O6kNJ6gu3bytXwcHBknvCdZDUsfhxnhr78yGvlCFiwZIjOUOLilwCsKfkLhF0mdXoeWEb3OfuVEsH4uIaIIt05yfJD8mHXoV58ukbMvR3xvWLiQPOP7iz7Tl9S68oa3zjl+62GXvhpw+Mw1WIqip1m266ySPqN7Z9WGHUQXzyoNOkAVfL9g2bokde+kaDC6o3h4Ot3MhURPQ6Jnyp7mf79/EqZvWCCE0dQYulU+ZbtIwh75938EJED6vQkNL1KwkJrTHVqOSF5ImrRI6fms7//9b7jztr/BurVrrdd7kfT9iNL3jzvudNbBDyrzmcefhJ4W6dPrNnbMWLjjttvhUTW9ns9bFvGve+6FKpUqi/lM8Yul9NHz7LSQ2G7A4g0/6dN3wXzppZfUkMhi5cqVIvNH85YpUwaOHAlkOCl0986Ulr5PPvlETPP666+rIQD0nEEaFu4aRC11jzzyiBoSCHomoL7751133SVebdvCwcGRPsN7ktWw9HG4IkhmvGE08sNOi2HKhQ41X0AUwomDN5I6vRlyXrnOfuV4h1umC9r2cOskx1uv6dOS5lOfbnHzWY4St3zeTK0oM1i4kntNX/D2hdtuCjmNt3yO32ZYpa9UdZS+q7Bk5xnBUoWQPvOaPpK+qlr6kCRJn2FsL9b6SDyM3RQ+r+wRNO7+8jlgz/EDas5A0J0N77/vX/DwAw86wiNEyCJDj/7nIShSyC59FHQTkZcyPSuyZXoeKuvhB6g89V5hlvv7//e/ogKlXAU2UEhfA5Q+I9NnzkdQWZFk+tauWYsid491fl2Gd93uu/sf0LFD4PEDFFu2bImZ9FFoKaKbmZBQhgo/6WvRooUYRtku27WMfkGiSfPZroejiKX0ee8aaoa+SyctTwddK0jD/vKXv1jv3KlDXw9ID2w3g+qBJJjGkUDSA9npPUHX+nFwcKT/8J5kNSx9HEEhBCJYUJzhhsRJMXBLRWihMLr+OQMjEQczIpzeksFKnshYpvPZLv91kmXQdjvzWGRL1p2xzmqakOsiQpcfRvAoLN9jtMt1hoetc47fetikL3+pRJS+K7Bk+2lYskOyGLl49SZKn757J0qflr2A9K1NUqZP33nz3RZFHeEjufNK393iNSv8v+8ehybju8Glq5eDuivu2L5dZNK07JD8ZHryKXFtW40fEsV1eZoaidWhT6/eas7gqFi2nBBDLVP69VVsfJcpVQrKlCwlsopPPPKoI1gP4zQP3PdPaNm8hSolEFevXIVWOJzKfOHZ5+D5p58R782y6fOLz+E4lIusr7wK/fv2U3O740Wc35yPeOyhh+EFlNTnsFx6ffIxmaE01//vf/krHDwQkOVYZvoopk6dqg5kCfAYLp9uqOMXftJHz+TTw+n5d5EGPdic5vHrQkl3vaTxsZA+upOmrWslPWqBxhOjR49WQwEWLlzoDO/f3/6IkQ0bNjjP46ObD5nRpk0bMZweVq8zmO+//74YRutCd/fk4OBI3+E9yWpY+jjsEXxdFmEKig7ZqDem83QP9Y6nMtyS4ScUfpGE6R3B0ZhCEqHI2KazCFtgO22Co8voK171+kRSn+5p/Ldd1KlP11xZ3xpcP1Ev7vVM3nItw0PWOcdvPazSV/IHOHT6CixC6Vu0/RQs3nYKFiFB0le5PsoeUrmefE1y904lbruP7YV/l3/NKnzyQexIycxwH76u37tFzOONHdu2iWvmSHCIe++8CxKrVhMN5StXLotHH5hQeMWR4sTJk5Dt1Szw4D//5UgVUbxIETVFIGpWrw7//Mc9YtoHUfjoPWXq5DPcgsvWQTccoRvBmJnEdy13ltTrp19nz5zldDmleeiVyihXpgzcvBW4gcqQQYPglRdfdNZdL6Pw9wXUFLHP9FHoO1USlK1r1qyZ82w5CspaUVfMTz/91JmO7lRqxmuvvSaGk9AsWbJEDQ0E7aA9e/aEZcuWqSHgPFSWxOiAIbaUWdNZPiIW0kfQ9YIkczroLrD0uAoa9+CDDwZl9PRD5emOo7NmzVJDZWzatEl06aTx3jty7tmzx7lOsX379moo/l5QqPXjIbyPeODg4Eh/4T3Jalj6ODhSI/xlLTYhJd0mkbYQghfy2k0OjpQJm/R9XaKalD4heydh0VaJkD56Tt+fUPoOHD6GotdeyJ6gQfukZ/oM6crZML8UPiV5UgAl95TMAn8pmAnyd6wkns0nwy1VXumjbp7UTfKTDz+C7/J/A99+nd/h+2+/g/377D+36dOmi5u3mN0k6W6dOmid9XovX7oM3n/nXXFHT7q7Z97ceSAbvu7zlG1uJ8Xe3XvEHTZN6Xv7zfDXaL2eI6drHlrHD/K9p8a6o3+/fuIGM1r66JXu7Kkj1pk+HXRTF/ORDATJGD3OQYuKhsSOur6aQULzr3/9y5mGujbS3TipayN1gaSbmNDwjh0D3VV37drlyBHd/ZJuqEIypMvRjzmIhfSRROrr6+jREnSXUL29//d//wczZ85UcwRi69atzrP2CLrBzDvvvCPu8qkzfCSS3m6xNA2Ne+6554LuitqwYUOnPPNh8BwcHOkvvCdZDUsfB0dqRApLnyVzJ0Jl3SLNFnJwpHTYM31S+ijDt9iW6QuWvvZQuV47WLA0adJnRp+5I+EvRZ5zMnxC/JTw3VsiC/yx4NPQb/4YObFHoii80qeliO7mSTczMfn3P/8FW32uO+vdsxc8+/QzjixRGSWKFVdj3QJH79euXgPLly2DfXv3whXjQeOhYk8ypY/mofWh6Wn9nkKpnTplqhrrjvPnz0N2Y3ri+WcyqbEAP//8M4wfP159im3Q8wlLlSrlEh0NCRPd1KR169Zw6tQpNYc7Dh8+LKSNroPzzk/yWKFCBThx4oSaWsaiRYvgqaeeck37z3/+E/r06SOeqUifqVukN15++WUxjrpRhgoSNJpu/fr1oivno48+6iyHoGXPnj1bTR0clPGkRzp4xZceQ0HbSttsxvTp08V4qi/aNm9cvXpVyCNNQzLMwcGRfsN7ktWw9HFwpEaklGjJcuk87JvlC+puGXlGkIMj1mGTvm/omr7TV2HJ9jPONX10fZ9H+o5DlXoofUhlRXKlT3vUQxVfFw9fF8JHsqf4e9EX4d1mhWHHkT1yQkvYpI+6XdJNTO69624XJIJbfKSvS+fOrgwZiVlVdfdLM/T1iHNmzYauOA/deKV7127QFmVm797QB5bkSB8JppY+vW50Dd+ZM2fVFMFB1waay6DMpw7q9rpx40b1KeWCulvSnVBJXKgr4+UIxZiCusnSPJTJWrp0aVBXUFvQ9XbU9ZLmM++kevbsWdXt1h3UFZOui/NmY71BkkUirYPKpmvxaFmUaYw0KLNJ4jh//nxxV05vptOMM2fOhKwvyv6ROIe6QQwHB0fah/ckq2Hp4+Dg4OBIrbBLH929Uz+y4axkp3xkw6N0906d6atMGT6V5auE0jc/udKnXpuM7wp/K/qCk+G7p2RmlL7M8KeCz+C4Lo5o2cIrfSR8b+bOA+XLloXKFStC5QoBSOIOa4HwNPZHDh8OLz//giNW9Pq26hbofRwDZZuoe+dtf/oz3HPnXQL6K86unaElILmZviwocf825qHr+/RD3L3ScurkScj66qu+mT4ODg4OjtQJ70lWw9LHwcHBwZFaYZO+b8vUgCNnr8Hy3RcU5wWXSPro4ewu6avbTlAJSb70SWE5ePoo/O67J+BelD7N3SVegccqvwGTVvt3naMg6aNHImhZ++sf/wzdunYV40jWvIjhluzOxg0bUa5eEc/7o7KIRx96CEaOGKmmCETP7j3EHTy1WNEr3TkzXCRX+vLmecMlcfQ+31tvO9tjBmUeKbOn64Og6w45ODg4OFI3vCdZDUsfBwcHB0dqhU36vitbE46euw4r91xSXBRcuvYrPBaQvuMiu0fdOitFmekz4+tOFeEfJV4Vwndf6axwW5HnoXz/hnDDuDulLXZs3wH30MPPleRQF07K9BUtVNhKm9at1ZzB8d4777ikj24K83ymZ0WWcMnixTBv7lyoUqmSeDwCiZsWK8ou1q1dWxYSortgUqVPZ/FWrlgJTz32uLM8sW74WrxoMTh4MND1kWSU1k0Lot4O2m6KcF0ZOTg4ODhiF96TrIalj4ODg4MjtcImfd+XrYXSdwNW7b0MK/ei9BEof5euo/Rl8mb66lOWr61g/tI1yZY+rSFr926G//nmMSF8BMlfp2kD1Fj/oLtxPoDSpYWIeAiliuSN5MpLIePxBd6YPnUqPPvU0wG5orJQoOjzqy+9LO7WSc/Vo3L0sugzde2kG7qEk6rkZvooMr/8snsbcb1o2fQIiNdy5ITcuV4T1ySaGUHi73+9DU6dtN84hYODg4Mj5cJ7ktWw9HFwcHBwpFb4St95LX2XYdU+iZS+l03pawcVUfY00Uif6OSJsnT1xjV4qtrb8I+SmeHO4i/Dey2LwaEzR9U0/kHPvnsdheeBe+9zyY4NkqYiBQupOe1RrUpVeBCF0ZyHXkmmtADqccTf/vJXGDdmrOxqGSaRFo30HT1yBO654y5nPloPgtaJyvOuGwkhrVu/vn1VCZzp4+Dg4EjN8J5kNSx9HBwcHBypFVbpK6ekb98VWCnwkT7ZrVMRtfTJoOvsxq2cAX8t/CzcVyYr1B6pb6UfWlRIZOgOj3SjE9E1U0mPFZSiUNKnpaj6D4lw1+1/C5rfK1W3/+nP0Kh+Q3EnxkiEKrnSp8ueP3euuCupd1005rC//P4P0KTRj2I+Dg4ODo7UD+9JVsPSx8HBwcGRWuGb6aPunSR7lOlTGT9f6YtNpo9CZvtOXjgNd5R4CZ6t/h5MXRf+gSamaNHt8N94Pbe4icljDz0spOxRejWg4UULy+vb/EKXOXbMWOduniSTOpOms2rPPPkUjBk9Bm7duiWmjyRI+nJkzSbKEeuIvPvW22qsf5jbSZlNemi8Xg8te1r4aF2p3KFDhojpzXk5ODg4OFIvvCdZDUsfBwcHB0dqRSjp0xk+LX7+0odUiFGmj8Tv0rUrUKxnDXinefJvPELdLA8dPAi7f9ktJMtk9+5f4MjhI2pKe3iXuXHDBmjTqhUUK1IEiiKtWrSANatXq7EyIl3P69evw759+4x12w0HDxxQY5MW8+fOg/fz5RM3eKFHMmRCCSVJbd2ylXiOGwcHBwdH2ob3JKth6ePg4ODgSK3wk75j4kYuV4T0rVZctkmfFr5YSZ/2pnOXL8DAhePkhyREUgQxkmlpmnDTRTKNjlDTRVqGjkimT2qZHBwcHByxDe9JVsPSx8HBwcGRWhEq06czfBLL3Tsr1W8vpE+IX512ME9IX2ZVdPIjvYpKRhIolj0ODg6O9BHek6yGpY+Dg4ODI7UilPSJO3f6S598Tl/FulL4ytdpC/OWxEb6ODg4ODg44iW8J1kNSx8HBwcHR2qFXfro4exS+ugZfSR89Bqc6asnr+mjrp3l67RxpM9bIMMwDMMwblj6ODg4ODhSK5Isfc+YD2ev2x4q1W0HFXWmT3Xv9BbIMAzDMIwblj4ODg4OjtQKm/R955E+LX5B0ie7dyIkfbUD3Tu9BTIMwzAM44alj4ODg4MjtcIqfWVI+q7Dyj0ofAY+0kfX9LUVsPQxDMMwTGSw9HFwcHBwpFbYpa8GHEHpW7HnomCler107Vd41CV9lOVj6WMYhmGYJJNRpG9+YgIkJEjy9d2nhrqHE4nz5fB9ffNZp/cbzsHBwcGR8uErfWd1pg+lb7ckWProcQ0oe0T52nwjF4ZhGIaJlAwhffMTISFfX5CKtg/65ssH0tfM90bs6wv5EhJB+p8xjd9wDg4ODo5UCT/po+6dMst3wSFI+ijLJzJ9KHwESx/DMAzDREZGyfQFYj4kJmhZw/eODAaCsnne7B599hvOwcHBwZE6YZO+b0ur7p27L8Ly3RdQ/hB8vXTtljfT197p2snSxzAMwzCRk5GkT3fNdERNZO6M7p1KAINkjjKFifN9h+vIkydPoCyGYRgmYiINu/RVhyNnr8FKEj6FzPSR9L3ozvTpZ/Rx906GYRiGiZyMl+mjbplK/EjanO6a9FEOT6702YIaM9euAcMwDONDbKRPZvo0gWv6DOmTz+hD6avVBsrVag1zF69m6WMYhmGYCMh40qcyfjZZ85E7/dlveKhg6fOH6yY0XD/+cN2EJqPVD61vpBGJ9JHw0Wtwpo+ET2T5Wivp40wfwzAMw0RCRpA+t+TJTB99tA0XEue6YYtxDaDf8BDBjVOGYZjQRC998u6dy3dfQtkLEHQjF3ktn7xzJ2f6GIZhGCZyMkqmz/VoBiPL5zdcCKEa7s3u2Yb7BU1na+QwXDfh4Prxh+smNBmtfmh9Iw2r9DnP6UPZUw9mp1d6OLv77p115DP6Apk+lj6GYRiGiYSMIn1pFdw4ZRiGCU200icfzn4DVuy9DCv3ovTtuwSrEKv0la/dFoWPM30MwzAMkxRY+kIHS58/XDeh4frxh+smNBmtfmh9Iw2b9H1ftiYcRelbue8yyp5kNXIZpe8xt/QFunaWrdmKpe83wLgl26BAlznwWt1xDMMwTAjoWEnHTNuxlGDpCx3cOGUYhglN9NJXC46evwmr919VXIHVB65I6cv0crD0EWU50/ebYOr6o7Bszxm1+3BwcHBw+AUdK4euPGg9lhIsfaGDpc8frpvQcP34w3UTmoxWP7S+kYZV+srVgmMofWsOXFNchTUof8HSp57RV652ayl9S1D6nmHpi2dI+jg4ODg4IguWvuQHN04ZhmFCE630FShXG45dQOk7eB3WHkDU6+Xr/3VLX4W6dE2ffGRD2VqqeydLX1xjSt8rvTIOa0pF/qPg4ODgiFWw9CU/WPr84boJDdePP1w3oclo9UPrG2lYpa98HZS+Wyh7N2AdIqQPuXzjv/C4KX2V6rWHCnXaQTmzeydLX1zD0sfBwcERebD0JT+4ccowDBOa2EnfTVh76CasUwjpe/YVo3tnPcr0tUPhSwfSt64FZMENTygyxhi+DlpkwWFZWsA6c1oTmi/U+JTEb9nJ3RYv4bYtGdtulb458vPAMYFhDffIYUGBw535NDjffjWaYiGWFzRNcqByzwB8h+9Z+jg4ONIiWPqSHyx9/nDdhIbrxx+um9BktPqh9Y00bNJXUEmflr31Cqv0lavTVmT6nEc2pKX0ZcnilhgtTzEWn5jht+zkbouXcNuWjG23SR8J3kJk/zpDuAwW4rQNLcM1NN4RRiWAoaZ3MKQu3HiWPg4OjrQIlr7kBzdOGYZhQhO19FWoA8cv/ArrDqP4HUbxQ6zSV6lue3FdH4kfZfvSXvpaQIsiWaDFOjVsTBHIUgSJsfjEDL9lJ3dbvITbtmRsu036BqJYkaQt9BGwkNIXTtyigaWPg4MjjYOlL/nB0ucP101ouH784boJTUarH1rfSMNX+i7+CutJ+o7cgvVHUPqQYOmja/roZi7pSPrWkRy1WCeGjSFpGhMQmzFFEkTlaIqMMeYT5YyBIjROf6ZxzvSGgBmEKrOFMU4MDyoTcZZtEMG2uMspAmPMeW3lu4arbdHL0fNGQJD0kVipLpskf2YXT024TB/NZ80SUtlyUSJE2UrkSDBFKKnzdicVXUTVtCx9HBwcaRUsfckPOl/ZGjkMwzCMhI6TkUZY6XPE7xZccUvfcZS+duJZfRXU8/pI+h5Oa+lzRAYFzvU5guldYkfX0Bmf/coxMcvEL8ElemJeeV2eMxylLqT0OfN5t8VdzroWWdT1f37l+2yLU54aHgFe6fsOZU1fg0fvbfIWTvoIEj8dWhxdEqkFjl71NHqYUU7QtGo8Sx8HB0daBEtf8oOlzx+um9Bw/fjDdROajFY/tL6RRijpk907JSR9lkwfSl/ddkL66Lq+uUvWpL30CcEpAmNIeEiETLGh91g5VEECLT76s3njFO+0AlMKfaazyZT+7Ddcfw4a7rMtfuWEGm6uowC3xcwcRohX+kxZE2GRsEikz4FuCqOFTRTojoE43hE9U/q80+sy1HiWPg4OjrQIlr7kB52rbI0chmEYRkLHyUgjXKbPxNq9U0ufyPSlC+mTmS+6EYrIeDnDPZk8lxBR90hPlswZrj5bCVGmKVPhhuvPluHWbfErJ9Rw27Z4p48Al/SRVHnuxmnr4pkk6UPE9EriguYzRM58T/NYs4IsfRwcHGkYLH3JD5Y+f7huQsP14w/XTWgyWv3Q+kYaYaWPunbape84VK7XIV1Kn3ivJccZToJmiI/u+ug3X0QSGEGZhPPZXabolmlOFzS9eh+0LZZyLN07A+X7bIu5nAgxpc/WndM2LJT00fSuxzjoTB++J4F0Ht9AAkflGCLnlT5nGWa2UI1n6ePg4EiLYOlLfnDjlGEYJjQxkz51LZ/GIn2U6WsLFWrL7p3z0ov0+QwXEoSV40DDPfPJaXT2jqTO6A7p7drpTB+6TNe60XtnWs9jGWzT+w13leNZlrV8y7b4LScEpvS5smsaLWfGsFDSR3hvwuKdV0fQdXzGeyGPZrD0cXBwpINg6Ut+0PnK1shhuG7CwfXjD9dNaDJa/dD6RhqRSN8GhedGLu5r+ijTl6bSx6QK3mv6MgosfRwcHGkRLH3JD26cMgzDhCbW0qfFL+junZXrdzCu62Pp+y3A0sfBwcERebD0JT9Y+vzhugkN148/XDehyWj1Q+sbaYSSPp3h88n0SemjLp6U8atQpx3MZ+mLe0zp4+Dg4OAIHfEgffMT9aUBCZCv7z41FGBf33wxGe4XNJ2tkcMwDMNI6DgZaYTL9IWXvvrtoaJ4Xh9K31KWvniHpY+Dg4Mj8sjw0jc/ERLy9QWpaPugb758IHxtX1/Il5AI86MdHiJY+vzhugkN148/XDehyWj1Q+sbafhJ34lLv8KGo7dgo4LeB0tfAyl98oYuLH2/BUj6lu05o3YfDg4ODg6/oGNlfHXvnA+JCVLWKGvnzeLR56QODxXcOGUYhglNLKTvuJI+IX6U6fNK30GUvipC+uR1fZVY+n4T7Dx0GqbvYBiGYSKBjpm2YymRkaSPJI0aF1rUgqSNMoKJ85M8XEeePHlE+V50oyYeX1/F175PPgW3hZnO+3oHvlZFnvQZz6+/jf2HX/lVv0YaEWX6UPro1S19R45D1YadUPw6QiUlfvOXrmXpYxiGYZgIyHiZPuqWKcUv1tJnC92oiVeGv54H2uA27p413zrej/V9Boj5phQsYh3PMMxvh9hJ369O905f6avM0scwDMMwSSbjSZ/K+FkkTn9O6vBQwdJnh6UvPPG+70QD101oMlr9xEL6TqL0bTzmK313Cemr1qgzVFHZPurmOX/pOpS+LEEFMgzDMAzjJiNIH8lZICMnM33io+vGLIFr/ZI8PESw9Nlh6WMYRhML6aNM3ybK9B1D4UM2IUHS9wNKXzWUPtnNsxMsWMbSxzAMwzCRkFEyfeYjG8wumUII1XBvFi8pw/2CprM1cuIFlr6UI973nWjguglNRqsfWt9II1Smj6RPcIwIkr4T8MOPXZT4dWbpYxiGYZgkkFGkL62Cpc8OSx/DMJqYSZ+QvV/hZyF+Fumr3rgrJKL4UTdPYuHy9Sx9DMMwDBMBLH2hg6XPDktfeOJ934kGrpvQZLT6iZX0/UzC52CVvm6Q2LiLEL8fGnVh6fuN0LFjR6hZsyZUqVKFYZhUhH539Puz/S6ZjAdLX+hg6bPD0scwjCYm0ncZRe+4QonflRsQkL5DJH1NujnZPurquYilL+5p0bIldOrUCY4dOwa3bt1iGCYVod8d/f7od2j7fTIZC5a+0MHSZ4elLzzxvu9EA9dNaDJa/cRG+v4bkD6FW/qOnoAaTbtDDRI/hMRv0QqWvninevXqcOLECbhx4wZcuHCBYZhUhH539Puj36Ht98lkLFj6QgdLnx2WPoZhNDGRvkskfVL8NiuCpK9ms+5Qk8RPyd+ilRtY+uIc6mJGGQdbg5RhmJSHfn/0O7T9PpmMBUtf6GDps8PSF55433eigesmNBmtfmIifSLTF8j2Cem76ZG+WiR9WvxY+n4TUGPz5s2bcP78eYZh0gD6/bH0xQcsfaGDpc8OSx/DMJpYSd9mlD6Jj/TVbtETajfv4cjf4hSUvjFF1DOCvBQZY50+3kgv26+lzzaOYZiUh6UvfmDpCx10jrM1cuIFlr6UI973nWjguglNRqsfWt9II5z0bSFO4PsTHuk7fPQk1EHpI2o37wm1UP6WrNyYCpm+MVAkoQiMsY5LBda1gCxZWsA62zgbSZ0+LGm7/Vr6zp4962Z0EdzxMkPzdZ7hGYTRvlI92jr9b4p1zSGzUSdFRlumSQ5UbubmsM427uxosZ+P1p8t+1eSvjPrNniWkUFg6YsfWPpCB/1WbY2ceIGlj2GYaKHjZKThJ32nUPqE8CFbhfj9Cle90le3ZS8pfYolq34D0pfmpL300c0kTp8+7WJU4QQoXLgwZG62JmicizXNsKHfDNbYxkWLWXaylzMKCicUhlHWcalAUtc7JetTQPWRGZqtUZ9peZHWT7h1CzF+TbPMUHhU4HPo/SvcdxZiG0YVhoTCozzTp2/o98fSFx+w9IUOlj47LH3hifd9Jxq4bkKT0eonRaQPCZK+eq16SfFT8rd01abUlz6RSSsCRbLQX/Dx1fPX/yJj9DQtoIUxTgzH+de1yOIMy9Jinac8GjYGWjjv9XiZuQua17c8lemj92ocravYhhDrZse9/aLbp9HFkz5nKVLEtQ3OsgjXOmSBFuvU8AjR0nfq1CmDVdA0cyEYeWokFMrcFFa5xnlY1RQb+mGmSS4xKRu3IYG2xTbuN0iafF/e7yDc/hXmOwu5Dbps27j0CUtf/MDSFzroPGVr5MQLLH0Mw0QLHScjDav0lZfSR7K39fiv6tUrfcdOQv3WvVH8FCh+S1enkfT5yYsWLiU6jkzp4WZZYhp8b5bnfa/L8pvXrzwx/Tohjy7ZJFkT09nWTX0Owrb9+rMaJ4YF6sRZllgHo67CLisYLX0nT54MsBIb1YVG4vuV2IDODE1XqmHY0F5pToON60KZlXDqcTScPguw8W2ZNnPTkViufr9SlDeykJ5HUmgkLVt9prJdyycpMKdV62RFCYT+7FoXfA1arp6mKTQ1xullrGya2Rkm1j3cthnrHTSvb3nh6tK+bpEh61Uv34Vreeb3Hvw9B39felr9HRmMLAQJYn9Sn2k67/5lTu/9zoIIsQ0IrVvS6iRlMOvHizkdS1/8wNIXOmjftzVy4gWWvpQj3vedaOC6CU1Gqx9a30jDJn0FlPTJTN+v8vWERfoatO4jIPmrj+KXZtJniosQHqPBRONs04jPUsRoOp2pc5Vnex9q3lDlmWVFMlx/DsKz/Qhl94Q0jikSEElvmY4Mqnpx8BFmH6ixeeXKFdi9e7fDvPovw7f9Au9frj8Pds+rDy+/XB/m6en0Z9fweVD/5QTXvAnf9pPTJrwM9eep+cz3ZpkaW9nOe/cydu/uB9/q8swyHGj8t9BPfzaX75pOjdPLxbp0luEs2yhLTIPvzfK8713bYJnXrzzLdrrr0rZu6nNEyLLl/qLrgoYZ9aLLFcvzbJO3PHNay3hnHzI+m9tljpN4vjMrtm2Q2MtMG9y/TYl3Gvr9sfTFByx9oYP2f1sjJ15g6WMYJlroOBlp+EsfZfiIW+pVXdOXCduSJH1HUPoate2H9IWGbfpCgzZ9YNman9NY+micJZNlkyCPWMm7Yyox0uNs70PNaxvmN1+44fpzEMHSp2VvTBFPVlKPN5flnTeJaOnbtWuXYg7UfSnQQBW8VBfmzKkLL9Grnk5/NocndRrv+1DL1O/NYRHRF75J+Ab66s/e+cMt1zVPoG5eqjsnuDzb+1DzhirPLCuS4fqzou83anu+6esaHkTfbwLbTNO7eAnq9jXKN5flnV6XYVmXOXVfsm6za17XPJ7vDAm5PXob1Gf38tIec1tt41n64geWvtBBvwFbIydeYOlLOeJ934kGrpvQZLT6ofWNNKzSV662kD7K8mnh09L3WED6TkHjdv3gR6QRgQK4fM3mdCB9xjiSIS07vhKkJVF1fRxjTGvOZ84Tal7f8mQW0Nq9Uy/Du0wrFukTw7CRqOcT6xaYxt2909OVNIkSqKVv586dktnYcM/fN/B552xspAca/7PN6eizfjWHRTqN874v5CfBmB3BfOawiKCy80Nf/dk1fwTLDZpH0jc/NeKxXHOc7X2oeW3D/OYLN1x/TjKqfqgczzoJzPKd9xHWm2K2kLDZgWlt+5cuS+D5zsLint61vHQCHcRtwwmWvviBpS90xHvjlKWPYZhoiVb6vi9XC6XvFkrfTcHWY5KrN/5rSN/xU9CkwwBB4w79oXH7/rBibVpLn/tGKgIaF0KszOmtN17xvg81byTlqXEuQdPvbZ+DsEmfuoGLq0tpluBlCZQgCrSgRg41Ni9fvgzbt28XzKyDDeY6M53PgWF1RMO6tx7eOz8kvFQHZs6sgw19fBXDZ0KdlxIgf+/AfAn5e8N2cxrr+97hy3beu5exXcz7EtSZqT978ZRtlhnJcs156NVZFq0Hvu9tTGvOZ84Tal7f8iKoS+8yI8ApRw/T2+ytV7G+WDdm+c77COvNHK+W6b9/mcM85Xvw3wb5uTcKdGD/SP/Q74+lLz5g6QsddJ6yNXLiBZa+lCPe951o4LoJTUarH1rfSMMqfWWl9G3V0qfEzyV9R1H6mnYciAwQNEFWrtuSCtLHBBNahGOJlr6tW7cKvkYJqT1DvneYURsF4GuoXRsb27gzClBQXnqpNszY2gvnoWFfQy9nWj0NjVfDwryfYZbtzGuUbc7nDJd83YuG+UHTqnUjXOX4LNczjd96vlR7RvhtCzVvJOWpcda6tH2OgF5fqzIFRt246lXtB971Ue8jqjcH/R3Qq//+5V4P83Mw/tswA2q/FHre9AZLX/zA0hc66Pdqa+TECyx9DMNECx0nIw2b9H1XtiacunQLthy7EeDoDSl9z2DbTUtfs86DoFknzUBYuZ6lL9WhLqz4hTtZPiKFpe/SpUuwefNmhkkxptV8Eb7qYR8XU3p8BQlf9bCPS6fQ74+lLz5g6QsdLH12WPrCE+/7TjRw3YQmo9UPrW+kYZW+MjXg1MWbKHrXXZD0PWpKX8sug6GFYBA0x9dV67ey9MU5Wvo2bdrEMClId/gy4Uvobh0XK1JjGbGHpS9+yBjStw/65gtkyvP13aeGA8xPNDPoCZA4Xw7f1zefdXq/4X5B09kaOfECSx/DMNFCx8lIwyZ935auDqcukfRdcyGl70UpfcdOnIbW3YZCq25DHFZvYOmLd6ixefHiRdi4cSPDMGkA/f5Y+uKDjCB9QtQCNgf5EvKB9DWSQf3eCDFNIsg5jGn8hocIlj47LH3hifd9Jxq4bkKT0eonJtInMn0oe0cUNulr22OYoE13yZqN21j64pzq1avDgQMH4NSpU7B+/XqGYVIR+t3R749+h7bfJ5OxiK30zYdEPPlTAyBytIRFGqas4fLy9cUh7iBJ9Gb36LPf8FBB62hr5MQLLH0Mw0QLHScjDZv0faOkbyuKnolb+k6egfa9RkC7ngHWbtrO0hfntGzZEjp06ACHDh0SGQeGYVIP+t3R749+h7bfJ5OxiL30hc+eOeHKvEUYNI8WPTG/IZBqeJDMzU8UmUK/4Try5MkTKMtAN2ri8bUMvpK8Peoz3u/1VXyl+fL7jOfX38b+w6/8ql8jDav0lZLdO7ceveri6o1f4dGnlfQdR+nr2HuUYqRgHUvfb4LmzZuLTAN1MWMYJvWg3x39/my/SybjEVvpS+HwSiJJm/GZru+zZfQilT5b6EZNvMKZPoZhoiUW0ncapW8bip7gmCRI+jr3He3QCVn/8w6WPoZhGIaJgAwjfZFkBX3kTn/2Gx4qWPrssPSFJ973nWjguglNRqufmEnfsWuw3UB079TSd+LUWeg6YCx07S/pgqzfvJOlj2EYhmEiIEWlT2Ti3F0lJcno0mmZh6QtkKmTd/gUEuea3uhy6jc8RND62ho58QJLH8Mw0ULHyUgjlPSR6O0wuHrTI33dB44XdBswTrBhyy6WPoZhGIaJgJSTPnlTlzC9JyMK72MZEgxZc40zFiaEUA33Zvdsw/2CprM1cuIFlr6UI973nWjguglNRqsfWt9Iw0/6zly+CTuOo+wZBElfz8EToMcgYrxgI0sfwzAMw0REykpfEm7qkk6Dpc8OSx/DMJqUkL6dyDVT+k6ePgu9hkwU4idA6du0laWPYRiGYSIh5aRPZdVikepLw2Dps8PSF55433eigesmNBmtfmInfVddXLtp3MiFpK/P0EnQ22EiSt8vLH0MwzAMEwEpKX0xu6YvDYPW19bIiRdY+hiGiRY6TkYaoaRvJ4qeiUf6zkG/4T8pJgs2b9/N0scwDMMwEZBy0he7a/rSMlj67LD0hSfe951o4LoJTUarn1hJ3y4UPROX9J1C6es/Yopk5BQYgGzevoelj2EYhmEiIGWlj6/pS++w9DEMEy0xk74T11y4ruk7deYcDBw11WHQ6KmwZUcKS9+YImLjHDI3h3W26RiGYRgmnZNy0ocRwcPP03uw9Nlh6QtPvO870cB1E5qMVj+0vpGGn/SdRen7BUXPxCV9p8+chyFjp8PgMQG27tybctInhK8IjPEOY/FjGIZhMiApm+kz/kDqgq/pSy+w9DEMEy10nIw0QknfbhQ9wUn56pa+s+dh6LgZMHQsQq9IyknfOmieOTM0X2cbxzAMwzAZjxTN9MVBsPTZYekLT7zvO9HAdROajFY/MZM+kj2DIOkbPn6mwzBk2659KSN965pD5nAZPZoGN5w2PiEhIIhjiph/4UyAImPUtJmLQJHMNKwING+e2Rmfufm64LIZhmEYJsaw9IUOOifbGjnxAksfwzDRQsfJSMNP+s6h9O1B0TNxSd8ZlL6Rk2ZLJs6GERNmwfZd+6OSvi17Dwchxnmlz7y2Twz3ZAL9JFEPF4Kopx8DRXS3UTHc3YXUtk4MwzAMEw7X+cdCbKUvVJdOE+7emV5g6Us54n3fiQaum9BktPqh9Y00fKXvyk3Ye+qawx7kukv6zl2A0ZPnOoyaPAd27D6QbOmjE6QtxPiIJM57YlNS5x2np3fKI2GU42xZPg4ODg4OjuREOPFLvUzfPuibT57nMtK9XWh9bY2ceIGlj2GYaKHjZKThJ33nUfr2oehpSPyCpG/slHkOY5CdyZQ+LXy2cRKfa/pc0ue5yYuAsniWDKBL+gLIrqC2chiGYRgmaVCEEr/UkL59ffOJRkFGvJMnS58dlr7wxPu+Ew1cN6HJaPVD6xtpRCp9hEv6zqL0jZs638XOPSklfUjQ3TtJ6FTmTmXrxPV6NM6RQKPrpi7DK31iWi2GfMMYhmEYJjZQpJn07esL+egcmYGf18fSZ4elj2EYTaykb//p6y6CpG/8tAUudu09mHLSR5jX8pGojTEzdkoC9TglbuuMm7QIvNLnmYZv5MIwDMPEAoq0kL75ifJ8li+DP52dtsHWyIkXWPpSjnjfd6KB6yY0Ga1+aH0jjeRL3/mLMHHGIhe/7D2UstLHMAzDMBkEilSVPnogOzYAEvL1hYytezLivXHK0scwTLTESvoOoOiZuKTvHErf5FmLXezeh9KXiaWPYRiGYShST/r47p0ZDZa+lCPe951o4LoJTUarH1rfSMNP+i5cvQkHz1x3cf2WR/qmzF4qmSPZs/8wSx/DMAzDIBSpmumLs2Dps8PSxzCMJnWk78IlmDp3mcM0ZM8Blj6GYRiGIShY+pIfLH12WPrCE+/7TjRw3YQmo9VPrKTv0NnrLm6Y0ncepW/avOUu9h44wtLHMAzDMAhF6kkfde9Mwp06xd09I+nqGXjGH2HeHMZ5HESUw/2CprM1cuIFlj6GYaKFjpORRlTSN2PBShd7Dx5F6csaVGA4WPoYhmGYeIMidaUvIGeREV76hKjpZ/wJUVRi6ZJGEsNkDg8RtI62Rk68wNKXcsT7vhMNXDehyWj1Q+sbafhJ38Vrt+DwuRsu3NJ38RLMWrjKxT6WPoZhGIYRUKSe9KVGBGSNZNCbxaPPSR0eKlj67LD0MQyjiZX0HUHRM3FJ34WLl2HOotWC2Yr9h47FVPoat+jIMAzDMBkC7zmMIq6kj7J16nEQQdJGj4tInJ/k4Try5MkjGi9edKMmHl/L4CvJ26M+4/1eX8VXmi+/z3h+/W3sP/zKr/o10ohK+uYuXqNA+UNSQvo4ODg4ODjSe8S99Lm6Z8Ze+myhGzXxCmf6GIaJllSTvnlL1ipQ/JADh1n6dFy4cEG9y9gRL9vBkbzg7z9tgus97YLqPjn1H9fS5xE+Cq/E6c9JHR4qWPrssPSFJ973nWjguglNRqufWEjfJZS+oyh6Jm7pu3QZ5i9dC/OXrZMsXcfSZ0S8NNq48fnbDv7+0ya43tMuqO6TU/9xK30W4RPhGm7cOTSpw0MES58dlj6GYTQxlb7zAYKkbwHKnmS94ODh4yx9KuKl0caNz9928PefNsH1nnZBdZ+c+o9X6Zuf6L7GLsGQNcrW6eHeLF5ShvsFTWdr5MQLLH0pR7zvO9HAdROajFY/tL6RRkjpM4QvSPouovQtXL7excEjLH06zp8/r95l7IiX7eBIXvD3nzbB9Z52QXWfnPpPf9JnPF+Pbr7il7FLxxHvjVOWPoZhoiVW0ncMRc/EI31XYPHKjS4OHT3B0qciXhpt3Pj8bQd//2kTXO9pF1T3dP5JaqQv6ZPCJ7JpdMMU446b+n1GCJY+Oyx94Yn3fScauG5Ck9HqJxbSdxml7ziKnslNr/QtWbXJxeGjJ1n6VLD0ccRD8PefNsH1nnYRH9JnXDNnSJ/7urr0Hyx9dlj6GIbRxEz6LqDsGbil7/IVWLp6k4vDx1j6dND6x0PEy3ZwJC/4+0+b4HpPu6C6P3v2rPoUeWSETJ+4Po8zfekGlr6UI973nWjguglNRqufVJG+Syh9y1b/DMvWBEgT6ZtWSmywQ46OsEuNSsug9feNXR0hh7nOilLT1Ph0FGG3I6XrW9eVq3J2QcccOCwtvusQ3920Uvb3GTlCfv8UnvoQ2xvBfhFR/VjqOuz06eT3H21EdPxwVUZsfhP6ewkio+/ISQiqe5K+W7d+VUMii/QlfRTGNX2aDCR8FLTOtkZOvMDSxzBMtNBxMtKIRPpOKIKkb/mazbB8bYAjqS19QvhKgas5QsPSQcMv5F+KbY3TcA1Wc3wqNm6TvB2xDrGMHO7l0DBqwKRSHbjCd5unQSlnXzTeh6uj1KjDKCJ0xoO2Mwd01Csvvhfcbr9tcoZHWD/ecaGmpQg3PgNF+N9dSv8mzP35txVU90TGl76MHyx9dlj6whPv+040cN2EJqPVT6ykT8uej/RdhRXrtrg4cuxUikjfzZu34Oq1G0G0yZYd2mwJHp7WUGPh6LETvut9dUs7yJatHWx2DZ8MxRNKwETXMAPrPClL8rYjxqhltClufNeTSkC24kgq14fAb5vN4WnwXaUEyf7+w21/pHUVNC79/UZSgkjrPWV/E2HqOk7RdX/4yFHx/srV6xFBwdIX+2Dps8PSxzCMJtWkb6UhfPT+6PHUlb6wDRxqHGFlUIUkJAQaSBOL62GS4pPUtNlKQPFsNCy6xo5sOBxPWmPZGBa8fltRcNVnmsac37WNsW2kJWs79HDLOm1um10NS4Bsbbf6DnOhl0GNWjV+IjV2JwWWHf77JHzqxraurnk98+n1MYeJBrIuwwTndU3vni6wnmq8a13U/qrGtzG2UcznU56oi+KT1Xj52VqvERD2+78m98ug8v3WWQzP7trGbOZ+bZZhlOMMNz/Te6cc83tTy7XVgWseJNKy1Dhd72H32SiJ+HeXxN+EGObZ5sC+5MUifb71ZPxWXNMgtDy9vmY5nvWQ0xsSm0bous/40kc3cjG+Bxd8I5f0AktfyhHv+040cN2EJqPVD61vpOErfddvwcmLAeGj9zd/9UjfqvVbhewJ8H1KSd8NbPzYTrTZsrWFn/XniSXEhgvE8K3QOls2aL1Zjd/c1j29Rg+n1wRj+iigxgI1GvzWWyxTr6sDNpj8ptXrp9ffeU/bmADFJsppf26TDRu7k4LLSCYRbUdQnfqt0yQoprdRbD+9tw3T5Sj0Mpxl4TyuzyGmN75Pe934rKtnXhdinOW7M9fH+t69LFkfuIyJ5njL/qqW58wXSXlOPRr1mwzCfv8CuR6yHtT6+62z99Uc5ypTocoJ1LOunxDfmy4/qA489eUsN0RZtm0w69S1nNgR8e/OXCfXZ5/p8b0Q4DaTPPuODe++E6qezO/F2IfpmGxbL+ezZ3q/9U9FdN0fOnwEfv01/jJ9dCOXxAz0oD763dsaOfECSx/DMNFCx8lII5z0mVilzyRNpU+jGw6iMWI2GI1Go3ecnj5GDY6ky5KlQRpq/fR7bzlB5UZHsqTPd53kNtL2ZGuzVU1vG+bBNT82QqkhaTbw9TSh6suZxtNAt01jm9fEb5w53PY+3Hz0am6DAPdXRwot09vKQ6hhL/YlXVeWaSIhMukzCNfIt617iO3wHecdbik3qA4imCei4ZHss1ES+e8uib8JMT/JHH4Ou194pM+vPrzLDDeNd7i5jgJDAtMAXfcEvbdNY4MiI0gfP7IhfcHSl3LE+74TDVw3oclo9UPrG2kkW/ouX7kKazZud3HsxOlUlT7XX4k1rgaFp5EvoMaM5a/L+jVo+qRDfyGmvxQnSZacBnoE6+e3zrZyoyBZ2xHBOsmuZ+7vxjZMYMxP2YVs+J2LxrwzPMLv07IeQcP85jXxG2cOt70PNx+9htn+oOlt5RFqX5pYPLoGdNjvPwglCuHW2Rwfajv8xnmH28r11kEk80QyXH9GfPfZKEnK7y5Jvwn9Hk8QAQn0Q32X+rN3+/Vnb9nhpvEOT4H6iwZd9wS9t01jgyJDSB89voGlL93A0scwTLTEQvquoPSdunTThTvTh9K3esM2waoNKtN3IoUyfTduomReC2ZicdzY4jDBGUYNFdmg2XRli/iLfLGJatzP1MCgaWkaYx4qg6an8WI+NTwKbmFj4eAhbLT5rbd1WXq9Ilg/5717Gze1zgYJxSYZZUZH8rbDZ51oWmqI/qynwfeiK6JnmHhv4N1uXTfO8BD1ZQy3102IdQ3aLoXfOHO49b17WfL7VnVgG0/z0fp7lxeuPFF/9F7/DvT4pBPu+w+qU7/fkv7sfTXH6WlNfMdF8r1568BSv2JcJGUZ09NruH02SpL0uxPrE+FvwtjWCcUSIFvrLcFlO3jKiLjOjfpwlht+fcRwc1vSCF33BL23TWODIn1Jn/81fdy9M/3A0pdyxPu+Ew1cN6HJaPVD6xtphM703XTh6d55xfWMPnpmX0o9p8+38UNQAwI3WGI2omm8avjpcaoxIhosznCEpnc1XqIjWlmyrp+zLdgoMucXDSVzOrPM6IhoO/SyNbohqD8b62Rul25w2oa5sNaVe7j/95ktfN3Y1tVvmXqcnt4gW7Hi7u/EWpa5P6rGru94tb961yVceWq68I368IT9/hFajl6+8wcYv3X2vorxxn6tp/fO5x2ux+nl6mk80wfVgTmPd74wZZmfw+6zUZK844d7ePBvojgUw+NLQNJlvfuvP433fCeR1JN5PKbfn219jOHWfV6XlQbouifovW0aGxQZItOXwYL2C1sjJ15g6WMYJlroOBlp+Eqf5+6dQQ9nP3/hEsxcuApmKWYuWAX7Dh5NEem7jo0fuoYwo0DXguw/cCjDrbeXDL0dm9pAlmxtYJNtXNwzUTTYx1vHRU7G3o/D1MEElJNiE+3j0ph4OX5kxN+grnuC3tumsUHB0hf7YOmzw9IXnnjfd6KB6yY0Ga1+YiF9F6/ehMPnbsDhswp8f8ORvtvvggOHj0OVBp2gsqAjVK7fERYsXw+PpID0Xbt+Ay5eupJhoMbCvv0HM9x6e8nQ27GpNWTJ0ho22sbFM+OLiQNAllY/28cngQz7/VvrYCIUxWE0XJINWm0y5klHxMvxIyP+BnXdE/TeNo0NivQlfaEe2WCSvq/vo3W0NXLiBZY+hmGihY6TkYaf9B09fwNW7bvs4tL1XwPSt23XPsj+UWnIJigF2T8sDaMmzWHpQ+Kl0RY3jU8mWfD3nzZwvacduu4Jem+bxgZFesv07eubDxI8F/DRIxu8w9JzsPTZYekLT7zvO9HAdROajFY/sZC+PSevwdTN5wXTFOeu3HJLX+b3SsCrguKC4RNmp4z0XbsBFy5ezjDcunUL9u47kOHW20u8bAeTPPj7Txu43tMOXfcEvbdNY4Mi/WX68kHffeqjDn5kQ7qCpY9hmGiJXvoSYTdK30+bzrkIIX2SlJK+q9eui2sIMwo3sbGwZ+/+DLfeXuJlO5jkwd9/2sD1nnbouifovW0aGxTpS/r2Qd98wVk9zvSlL1j6Uo5433eigesmNBmtfqKXvh9g94mrMHnjGRckfY88/YIhfe+XkLD0uYiXRhs3Pn/b8PefNnC9px267gl6b5vGBkX6kj4KJX7YIHCISvioPHeWUEikUb4uXnQtVcPyGelGv+F+QdPZGjnxAksfwzDRQsfJSMMmfflLVoNfjl+BSetPuzh7+aZX+ko64peS0rdlyxaGYRiGSZdQpD/pi2XoG8OY0kcSGK4LqTGN3/AQwdJnh6UvPPG+70QD101oMlr9RCt9XxevCruOXYYJa47DhNUBhPQ99XzqS9/NmzczHDdu3LAOz2jEy3YwyYO//7SB6z3toLpPav1TpC/p87mmL1mhM3xUpil9+DlfXxzrDsrmebN79NlveKhg6bPD0scwjCZa6fuyWGXYefQijFl5GMasCHDm0g14+MnnAtKXxZA+6uI5IoWkL6MGbUM8RLxsB0fygr//tAmu97SL5NR9esv0UdfL2F6+55E+kbkLdO1MUAIYJHPzE0W3Ur/hOvLkyRMoy0A3auLxtQy+krw96jPe7/VVfKX58vuM59ffxv7Dr/yqXyMNm/R9XqQibD98HkYs2e/i9MXr8NATz3qlLyB+Iyay9JlB2xAPES/bwZG84O8/bYLrPe0iOXWf/jJ9bnkKYGbrkhIe6SNpMz6TZNoyepFKny1ofalRE69wpo9hmGih42SkYZO+zwqVh20Hz8KwBb+4OH3hGvzn8Uxu6QuIX0mWPk/QNsRDxMt2cCQv+PtPm+B6T7tITt2nt0xf7MPbvdMTPnKnP/sNDxUsfXZY+sIT7/tONHDdhCaj1U+00vdpwbKw9cAZGDxvB7Ld4dSFqx7p+wClj2DpswZtQzxEvGwHR/KCv/+0Ca73tIvk1P1vTfpI2gKZOrruT92R03XDFprHdiMXY3iIYOmzw9LHMIwmWun7pEBZ2LL/NAyas82FkL7HnkmH0jetFG50duiwS322xa4OkD17Bwg1SayDtsE3xDqr7jalpqmB7phWyuiS4zNNakSo7YhkHc1pzEl2dcjuDM8e8svjSMsIuR9zpFhwvaddJKfu05/0SRHTx1iB5cYrkUdwps/1yAajq6YQQjXcm92zDfcLms7WyIkXWPpSjnjfd6KB6yY0Ga1+aH0jDbv0lUHpO4Wit1UwUEHS9+/Q0jcnTaSPpKJUqVKhxSFdSd80KIVfkhYgWn/vugshcgxpF3TI7ham1Azf7XDVKa2jRbxJbp1paLtL4f8YNK9+L4aHkXaONAv//ZgjJYPrPe0iOXWfvqRPCZ/nmjkhaVGJX+oGS58dlj6GYTTRS19Z2HLgNAyau82F7N5pkz4lfmkjfSQbJA8oDqGkLj1Jn0uEIguSwLTKhoXcDsNEhXx7xNS73vRZTOP5PmzzcqSP8P3+OVI0uN7TLpJT9+lL+ny6T7q6WKb/YOmzw9IXnnjfd6KB6yY0Ga1+opU+fU3fkHk7XJz2vaZPkSbSR/IgLcLJNInuhFooREYJhaKDIRlqGFVU2G6hUQRtgy3cWbxIIn1m+mxCFySmLsGV2yGnMTODRgaQI92F3/fPkbLB9Z52kZy650xf7CPeG6csfQzDREu00vdZoXKwDaVv6PxdLoLv3pkOpM/JHKn3Wjpkl8lpAVlyMkumbJjDYx+0DbYQ60ndUYV0ImFsjqZPamYwlhFyOwzJ837WISRcbCt+V6WMaRz55q6d6Tn8vn+OlA2u97SL5NR9+pI+ilhf05f6Qetsa+TECyx9KUe87zvRwHUTmoxWP7S+kYZd+iJ9ZEOaS5/MHNEGOzhyJK+bc4RKy50ry6dJGemgbbCFW+JCZ/HSWvgoQm1HJNJnhpRxnMYl2x4R50hX4ff9c6RscL2nXSSn7tOf9GX8oPOzrZETL7D0MQwTLXScjDRCSt/C3S5OX0TpMx/OnvWDUih7RBpJH4mDy5YMedByp8XCJX2p05WQtsEa09w3nfGTpfQgfBShtiPcNX3uCAhucoSRI23C9/vnSNHgek+7SE7ds/TFPlj67LD0hSfe951o4LoJTUarn2il7/NCFWD7wXMwfOEeFyR9D7mk78NSLvFLbemziYIcFujWGZxZ8mTWUlACaRvsYV7D5pPpI6FKJ9e5+W6HU6fiQ0C4jRDiqjfO3CbLtX5BdcCRLsJ/P+ZIyeB6T7tITt2nL+njG7lkBFj6GIaJltSVPg2KX2pLn/U2/ygiVAGBDJTs5imuoXMkQ3X9FKRct0LaBt8QAqTWwbWuUooC18EFSKtMWKjtcK2nZTvEJ2MaU+zs83Kktwi5H3OkWHC9p10kp+7ThfQJqTOOqzb4Ri7pBpa+lCPe951o4LoJTUarH1rfSCMK6duPslfaxcg0uJFLeg7ahniIeNkOjuQFf/9pE1zvaRfJqfsMkenLYMHSZ4elj2EYTapJX7YPy7D0hQjahniIeNkOjuQFf/9pE1zvaRfJqfv0JX3xESx9dlj6whPv+040cN2EJqPVT+pJ30dlXOI3chJLnxm0DfEQ8bIdHMkL/v7TJrje0y6SU/csfbEPlj47LH0Mw2hSXfo0KSV93uEMwzAMk16gYOmLfbD02WHpC0+87zvRwHUTmoxWP6krfZoUlL6MGrQN8RDxsh0cyQv+/tMmuN7TLpJT9yx9sQ+WPjssfQzDaFJH+n5B6fvYkD6Epc8dtA3xEPGyHRzJC/7+0ya43tMuklP3LH2xD5Y+Oyx94Yn3fScauG5Ck9HqJ3WlTyOkby5LnxG0DfEQ8bIdHMkL/v7TJrje0y6SU/fpT/r2Qd98xmMaMtgz+ijivXHK0scwTLSkmvRlN6UPGTmZpc8M2oZ4iHjZDo7kBX//aRNc72kXyan79CV9Uvjy0TMb5ic6z+bb1zcfP6cvHcHSl3LE+74TDVw3oclo9fObkr7QD/h2PyQ8tYO2wS/8HlhuC5o2rR7MThHpdvg9YN1vW3d1yO4MT8vt4wgdob5/EdNK4XeYHcyv0LVfmNj2kV0dILsxjZiEhmXvAKH2Cr2McL+fiCOCZaZmhK13jhSL5NR9+pI+4zl9hvTJh7dnnGwf/b5tjZx4gaWPYZhooeNkpBG19GnSRPpcjbRd0CG7bnjSe92ITIfSR41kZ73DiKlqEKdL6fOtfyP8tlVsl95uGm6ZlyNdhO/3r4Lkq1SpUj77aLg/vHi+e71fuPYtI5zhnn3JNm1SI1blxCjC1TtHykVy6j4jZPrmJ+I5kTN96QaWvpQj3vedaOC6CU1Gqx9a30gjY0sfCYXxZ37R+HS1LsM1OFM2aBvCh48siZDjSpXKnj6lL2z9Uzvave70WUzjaWDb5uVIHxF6P6Z9lH5j+FuzClOY32BYufMJc3ysZC1W5cQoIjt+cKREJKfu05f0URjX9GmiEj4qz50lFN1FVdlCMFUkdbhf0HS2Rk68wNLHMEy00HEy0ohS+soq0kb6bELhlqMMIH3U0PRbRyVVwduVuuG3HeHrH8OV6ZMZWDmNKbtp+z1xhI6Q+zHtv9Liff54Ee67NfcJI5SAdVBdOInAHwtwP1PDqFtpdp3V9wqb+G15s4jqs3ivy1DzirJLobzq4YH1pn1bT5tav8WIjh8cKRLJqfv0J32xDOouSvu/IX2urqIkhKo7aVKHhwj6vdkaOfECS1/KEe/7TjRw3YQmo9UPrW+kEZ30fYLCRyjxG8XS5wrahlChG5L2DFdg3a0ylYrhtx3h61+GvvaKGuiurKXT8PbLdHKkhwi1H9N3rvdf+/cfyW9Qip/eR0QRat9wfhtCyLSYGa/mODGhO2jf0+tE6ycz03J51rKNZQamN7ZBTJM6x5Rwxw+OlIvk1H26kz7q1il+U17c2brwoTN8JH6BeSlr583i0eekDg8VtL62Rk68wNLHMEy00HEy0ki29G1H6cuhpU+JH0ufO2gbwoenAarC3Jbg7Urd8NuO8PUfHE4j3NVQ98sScaSH8N+PTVlTBMlX8G/Q+SOAd6en0Jlhr8iZYuYd753WDGecsY95p7eVSUGfxboHtjM1f4eRHT84UiKSU/fpS/pkZi4xaXYXJkJLn5BMXGBSh4cK+s3ZGjnxAktfyhHv+040cN2EJqPVD61vpBE76UNSW/pEA9FoOAZfF5YRpI/all5ZsjSmkdRscJrhux0RXNPnDrldNE1yhJEjbcL3+ycpcn3hhlg5kdTfoJo+nJiZ473TukKt07QQ09vKpLCUK4U1dY4pkR4/OGIfyan79Cd94btPJi1SVvry5MkTdM4jdKMmHl/L4CvJ26M+4/1eX8VXmi+/z3h+5Vd+/W29RhoZW/pcjbJYNDhjG7QNtiDBCchSQIT8Iq2FyG87wte/Z1tJEvX3YbnWL1QdcKRdhNqPvftl8LDQv0H3bwEj1pk+DLEMPCgG1suzv5llGuvqrJsYrvdt+36eEuH7u+NI8UhO3acv6ZNSFi6TlrTg7p2xhjN9djZuPA1t2qyBfPnGwTvvjIG33x4Db70lyZ17FOTJMxLeeGM0vPvuWN/x1NYwx9N7mkeP1/NEMp7WI2/e0RGPp/dvvjlajH/vvXFi2lDj339/PBQoMBV69NgEEyfuwWPDTWu9xIp4/11FS0arn1SVPk2aSB+G01WMCLKG9JvpM9c70Bi1r6+tcZ2aEel2BOrfvR3mNO72vW1ejvQWft+/9TEbHnHy26fNcO0HelqvyJliZr6KkbQMY17vMsU6edZVDDOW60ifZ5gzuRRHIrV+i6F+dxwpG8mp+/SX6TP2ZRcBcUtauKUPrc24MYuRWUzq8BBB62tr5MQLLH14tJ62D2rUWASvvTYS/vGPbvA//9MGv/dQtLYMM0mJ8W2N9+HG2wg33s6f/9wR7rmnGzz1VH8hiA0bLkMx3AgrVx631iXz24SOk5FGdNL3aTkUPiLtpC89B21DPES8bAdH8iLuv39PN+X0Evy7S7tITt2nt0xf7MMjfRiUrdMy6c3iJWW4X9B0tkZOvPBbk74pU/bCt99OheefHwR/+1tn/H69oiOF6n//ty3cf39PkSH77LNJ8OWXP6nXyfDJJxPg008nwkcfjcdXOcw2PiGhiGs88dFHE5zxn302MeLx+fNPEeMiHU/D9Phvvpki1i3UeMr2PfvsQCG9f/lLJxRfP0kMFs6//70L3HVXV8iWbZjIVpYrN1eI4aJFh63fARHvv6toyWj1Q+sbaUQvfUL8WPpsQdsQDxEv28GRvIi/719nBjWp010zqcG/u7SL5NR9/Etf6ke8N07jVfr2778EnTqtgw8/nCDk7Y9/7IDfpV1kaNwDD/QU4kPdG48du2Yt87fInDkHYeTInVCt2gL44IMJ8MILg+Dee7vD7bd3DiGGJnIamp7E8JVXhoqupUWLzoSePTfBqlUnrMtlMhaxkL5tLH3RB21DPES8bAdH8oK//7QJrve0i+TUPUtf7IOlz056kr65cw9B06YrUfDGw333dffpninl4447usCzzw4Q0jFkyDb8DaTctWvxvu9oqHts//5boGDBqeJawyef7CcE7y9/6RhU/3bawv/7f23hzju7wDPPDIA33hj1m5fCjLbvxEr6hoWTvpwofIJPJCklfd7hDMMwDJNeoEh76TOvk6P3ZjbbxN1FMz0Hra+tkRMvZDTpo+6ZZcvOERknEji7RLSG3/2uHUpEV3j99ZGQmLgQpk/fZy2PSXlIrOl769XrZyhUaDrkyzdWdK+9++6ucNtt/l1sTai77f9n703g7SjqtP+87zjv/HWcGRfGWV1YVBaVxckdiTqijoqOOrKv6mXxyjogJsMyilvMZUBNcENI2AMkuSQhIGEJEAiEsISbhew3gex77s12Qzb8/etX3dWnqk5Vd5+9T5/n+eSbc7q6qrqqeql6bvXpZiPJhl2ZQjaaixdvdW4T1Be+TqZVdUxfyNgHn8JMnyauQx6Ul3pA5Qn7vzFCuzdO5bQ9ZvqqL5g+N/U0fXyb5hFH3E5vecuvDCOg+Iu/GE7/8A830Re/eL+IOyszRiDvx04l2G3D+2z06IV02WVT5e2fyhT++Z/zPtdnCdkQ5t8UNtuxUzfT9ynb9D0E06eL65AH5aUeUHnC/m+M0O6NUzltny3TFzfTp8j+jB+X0zXIyQtZNX08M3TUUXfJ2/4Kg/vr6e1vHyFn+fghKrfeOg+/v2sRlCm84opnEkxhcJyYyzfQW95SbArxm8LqwdfJtEoyfQrL9B0gTN9K+tQJlwjjd7EwfAGB6ftEUYZJwPRlW3mpB1SesP8bI7R741RO22dtpm/qYGHsrPf06WHySZrHj6LkZ2g2TjB9bmph+saNW0yf/OR9YiBvDuLf+tbh9PWvT2y6WzTzfuxUQrXbRplCNnPKFPLtvW95yy/FtpJNIf9xgW8X/vu/v0k+hZRvQ/3Nb2bLPz7U+p2FLprt2IHpy4i4DnlQXuoBlSfs/8YI7d44ldP22Zvpc7wHT39XnvHevGwKps9NtUzf2LFLaNAgNnrmrZv8RE1+XQI/PdKVDoBS0E0hv1biyCPvkqaQXzeRxhQyb3vbcPq7v7uJBg4cTV/5yni68spn5fH78suYLWwp0+d7wXcWXvzNdYhX/IurfS81r7fi6pGmnX31aMQLr6HSlXgc83vurNceGMeFjusYsV6KLqMYL193S22jaudGim3WU8nXD6hWKqfts2X6ltOo48X54ZrpU7N7Uwdjpq/BNML0PfvsWjmbErxGQQ2qfyEfvvK5z42lOXO2ONM1G3k/dioha23DppAN3E9+MoNOPnmSfFE/3w7qfliQ2xTyjDSbSH566XHHjaULLphCEyYsE9fZ0mcKm+3Y4fKmVVrTx3hMX2D8mHH1Nn3GIK2Hhh8bDDylmYhGghzeGNPEdXArKBPvqAE+08cD6ahu8eaw1vLWw9P+hnz1kAN9VScOz+a70qDkATCbr46ODo9xTzp2rX2vjgufAYvCrWPJFbdUVSufKimp3aHaqZy2z5bpCyRNnuxnQpQJlLN8A8jyhJkTl9k1yMkL9TJ9/FoFHgj/xV+YM3r/7//9Slzz7qUHHljmTAdAVuCXzf/hD3OkKfzsZ8fJhwfx7wqDW0h1A1hsCoPfot4lX1zPM46u/JsZvk6mVeWmTyHMX91NHxsKzc3JwadjdMkmsBEzSVyHePkHxHaZebkRxpXlrUeK9vfWwxpg+/Yd1HjFH8ds9vkYFsey0zAlmL5Ec+eRvr5aZq1a+VRJydcPqFYqp+2zaPqaXTB9btKYvhdf3CBn7v7qr24MB7/BbXQ8o8cPY8n7rZt5P3YqIY9tw6aQHy508cVPyFuT+TbQd7zDfiVFwRC+/e030kc/egedddbDNHbsYiOvZmufBpm++s/0uQxFsbnL4kyfUsyA2JghC+rQCOPK8tUjVft766HPDCYYA6ihij2O2SgFLl7bn7qS9q3n2A4N2PDwFk6m8McCcZyFYXxb6bFq1tw2bBy3aBYxXJbfVR5hWpl3hzCvKrxQbj62Vdx6nYfJ1w+oViqn7WH6qi8+31yDnLxQbdP33HPr6MQTJ8kZPH2wy0Zv0KB76aab5hjxAcg7fHsn3+b5ne88Roceepv10npG/aYweDrtYYfdRhdc8HhT/VGEr5Np1dQzfWlMhxys2YPBOonrEK/4AbH6zRIPbDs6HIaqTvLVI037s7z1iAbeLrMAZUVxxzHvc/UHFff+T2PoA+OnjhGZRXhsRH+skYZMGTPtU18nI5riY0+VSV4LIoPqyVvbZiG+VgcZJ6k+1VHy9QOqlcpp+8yZPv7NnjynbPBy9qxQDdPHT9Xkp2sWBrPBbAY/nIVv3bRnMVqFvB87lYC2CZ5We+aZD8vXSPzN3/CMIJ83xbeG8u8Kedbw6qufy+xt0Lw/06oi0/dp3fQJxj00NVOmTw7aPIPBeojrEK/0M1z64LXe8tUjqf1diuphDNR9s0RQFuQ/jnWzFlJ0vhUf49EfASLXpUnNDNtGTjdm9no7rq5onXaM2fFdebJ4WZa9UM96noPJ1w+oViqn7bNl+oL39GX9N3tJ4nPONcjJC+WavoevG0WfGHAivfXP/1e0UWGAyo++598u8QMxXOkAAH7uvnuhvD2Uz6Hgjyg8C2g/XfQG+uu//jW1tY2Ws4dZeJUJXyfTqmLTpxu/eps+ivlNWaMNH4vrEK+0ps+amaizvPVI8Zs+U4V6lGMYocbIu//ZFBk7XDNWkdL/YSNQGD/JmOnr7biGwjJNjonvypPlyDcwrKXUp3wlXz+gWqmcts+e6XO8sqHJBNNXgB9Nz78/sp9o+H//7y/le9H490yudK1K3o+dSkDbxKPaZ/363TRmzBI6++zJdPDBI4sehBTwC/o//+cG+QqKtrZ76Ac/eE5c2+v7bsHWMX3GoEwbcLIZqdPALE5ch3j5B8TStKoBdYPr462Hr/01eevB3420jTO1ULx8+99l1IvD4k2fcXyw1HHhM2D2p75ORiyW3Ia4KBbKZR1vep5aWaOyyXB1bLuP81oo+foB1UrltH22TF/48vUmn+rL++A0yfStWLFTzib83d/9XrRF4bdHf/Z/b6D3DBhC3x14hTiO6v/yagBamVtvnU8nnPAAHXTQLfS2t9m/EbxBmMBf0PvffzMNHvyMNI6uPKpJ3U2fMn51N31C0a1iTDiKM8JCGjGLxHWIlz0gNpf1ejTSEMXVw9X+aevhTgtlTb7973zNhmWc7GPBJfN8DePaRk43ZvqnXMnb0NLa25Rlssoqw7TtRqbPCouiB8aRqde1JPn6AdVK5bR99mb6tGPZAL/pywou08eDxEsvfYre/e7fifrrA8kb6H3vu1nOJFTynr5WIe/HTiWgbeIptX34Dy+33TaPPv/5cfKpoPp5y/BvBvml9PxEXVf6SuHyplXVTB/TCNOXZXEd8qC81AMqT7nf/zy7mME/OuC8a5zKafuszfTlQa1i+mZNeIKuvXa6nB3QB4s8Y3DggbfQNdeYt4zB9AGQXdQM/Xvfe7M8h/Vzmp+sy78H/N3vZjvTlkP9TN+JlwbA9DnFdciD8lIPqDzlb/+rmUFFfW7XLFU47xqnctoepq/6yrPpYxN3xoHn0QEDriwaGB544Ei68MIn5ODRlRamL5m8/8GgEtA28VSzffg8Z4P3kY/cIV+dop/nfN7z7D3fBupKmxYub1pVZPr+DaYvVlyHPCgv9YDKE/Z/Y4R2b5zKafvsmb7lNOr48A8bx4+i5ctH0fFVvrVz6mD9jyeFp4XK3xOGYcdrT5PxhfvE8VyDnGbm9tvny3eB6YM/hm/nPPvsh71GTwemD4DmhG/x/NznxtJf/qV5G+iPf/y8M34a+DqZVk1h+uxwAAAAICuwsmX6AsMnjRW/r49NH4ey6Qq/Vy7ehuMJoYa51OL4wmOUF9N3ww0z6eij76I/+zNzRu/tf/5zahtwMj38h4ed6XzA9CWTxz8YVAu0TTz1ap/p09fSN77xQHQ9KPc9gPU3fRLM9NniOuRBeakHVJ6w/xsjtHvjVE7bZ8v0aa9s0EyfabwqldiGw0CysbRn93jZFx6nZh6cstEbNOg+estbzFu6/uZvbqRvfesRmjt3S9nv6YPpAyA//Nu/jZHXhi99abxzfRJ1NX0KNn4wfaa4DnlQXuoBlSfs/8YI7d44ldP2zTDTJ2/HrNZMnzSQhVs79dlEw8zx9gdP9YbHqdlM3xNPrKJPfvK+ohm9v/zL4fT1r0+kxYu3GvFh+mpHM//BoNagbeKpd/vwLd3BOwB/UdZsH5c3rapm+hiYPlNchzwoL/WAyhP2f2OEdm+cymn7bJk+VmD8eEAQUS3Dx2LTps0asqFkU1eu6TvuuOPMsoaoQU22Pz9Lf/3XvxafBaPHT+kbMODb9Nxz68SnO90F4pPN28Ge9b7PfxGfnO40z3p84hOfzfWpZvs+/vG7Y+P5PtMKpq+G4jrkQXmpB1SesP8bI7R741RO22fP9NVZHnOnln3hcVKDmqzz/vffIsp6A73tbcPpU5+6j559dq0zng1m+mpHsxw7jQBtE08j2odn+4I/FF2f+vqhaCnT53vBt++F4PUU1yFeyS+uZnFd9BdC1/ul5nH1SFMW375oxAuvodKVeBzze+6s1x4Yx4WO6xixXoouoxgvX3dLbaNqp0CKbdZTydcPqFYqp+1bzfSxaSvM1Gm3kxq/G9R+W+gLjxGf365BTtbg2zbLefEyTB8AQPEf/zFeXPNuoCOOuN253gdfJ9OqfNO3TJi+k4TZ0+j6ozB9H6mj6TMGaT00/Nhw4MmD0Cg8nbGqhbgObnFZ1SA3oWzhgFiZImmUolFukE/VBr0eeevha39dvn0h66XqzuHZfFcalDwAZvPV0dHhMe5J55+179VxYRxbmqJw61hyxS1V1cqnSkpqd6h2KqftW3Gmz3hlg3arpjSEYbg9u+cK94njuQY5eQGmr3bk/dipBLRNPI1qn7lze6MHP5XyRyQub1o1t+ljQ6E5Hjn4LBpdesxIHcR1iFfSgDgoe0fHsd6ZMDaBtZ4l89YjRfvb5eNlGccaYLv3HZQFxR/HfIzyMSyOZadhSjjGE82dR/r6apm1auVTJSVfP6BaqZy2b0XTV2vB9LmB6QMgn3R0TJGm77DD0s/2tYzpcxmKIgPEA7lYY1U7cR3ilTAgDk2V39g1dqYvVfsbM31BeYM4uhlPMr9QIxV7HPP5Fbh4bX/qSvOHDcftvaEBGx7ewskU/lggjrMwjG8rPVbNmtuGTZ779ixiuCy/qzzCtDLvDmFeVXih3Hxsq7juc7H6Sr5+QLVSOW0P01d98fnmGuTkBZi+2pH3Y6cS0DbxNLJ9Xn21l/7P/wme/jtnzhZnHBsub1pVaPr+yyBrpk8N1Bo1g8R1iFfcgLiwzmmmhGT96jAz4atHUvsrqd9e8QDdmLWMBt6NmYmF0inuOOZ9rs4v9/5PY+gD46eOEZlFeGxE5640ZMqYaZ/6OhnRFB97qkzyfIkMqidvbZuF+FodZJyk+lRHydcPqFYqp+1h+qqvRg6+6gFMHwDA5pvffERc+66Xv/FzrbeB6TNkDfDqKK5DvPwDYr0urnrJAalnoFtt+eqRrv1NRYNwY6DumyWCsiD/caybtZCiY7L4GI/+COA6KdXMsG3kdGNmr7fj6orWaceYHd+VJ4uXZdkL9Uw6vqup5OsHVCuV0/YwfdUXn3OuQU5egOmrHXk/dioBbRNPo9uHf8/HM30848dP9XTF0eHyplVTmz45QNQGjr7fhaUxI7UQ1yFePtPnGEwLVB3qafhY3nqkbP+CgnpxnHIMI9QYefc/myJjh2vGKlKamT5dYfwkY6avt+MaCss0OSa+K0+WI9/AsJZSn/KVfP2AaqVy2h6mr/rifs81yMkLMH0AABef+9w4cf27gb797Uec63X4OplWzW36jEFZYcApTVE0GC0YjXqL6xCvdANiwxCx0arToFPJWw9P++sy9oVedjWjI1c0bh9ByfLtf5dRLw6LP8bNc1VIHRc+A2Z/6utkxGLJbWh/NBEh5vGm56mVNSqbDFfHtvs4r4WSrx9QrVRO28P0VV8wfW5g+pLJ+7FTCWibeLLQPoXZvhsSZ/u4vGlVmek7+bLGmj6h6FYxRhs86uGNmkHiOsTLHhC7B8j6QNqob53qF1cPd/ub9dDjmON7V1ooa/Ltf+drNizjZB8LLpnHdBjXNnK6MdM/5UrehpbW3qYsk1VWGaZtNzJ9VlgUPTCOTL2uJ8nXD6hWKqftYfqqLz7fXIOcvADTBwDwwU/wZON36aVPOdcr+DqZVk1v+rIsrkMelJd6QOUp9/vfuk05K8J51ziV0/YwfdUXTJ8bmL5k8n7sVALaJp6stI+a7fuzP/slrV//hjMOU3PT9zZh+hYL0/cZYfo+c/J/0WeE4WPY9B0M0xeJ65AH5aUeUHnK3/5XM4OK+tyuWapw3jVO5bQ9TF/1lffBKUwfACCOgw8eJa6DN9BPf/qCcz1TZ9NXMH4wfaa4DnlQXuoBlSfs/8YI7d44ldP2MH3VF0yfG5i+ZPJ+7FQC2iaeLLWPmu17+9tHeGf7GmD6AuNXK9NnhwMAAABZgQXTV33B9LmB6QOgdfjHf/yDNH6XXvqkc33uTF+ziuuQB+WlHlB5wv5vjNDujVM5bQ/TV33B9LmB6Usm78dOJaBt4sla+9x++3xRphvo3e/+reg39hWtb5DpuwymzxLXIQ/KSz2g8oT93xih3Runctoepq/6gulzA9MHQGvx3vcGs33t7cXv7Wug6Xsapk8T1yEPyks9oPKE/d8Yod0bp3LaHqav+oLpcwPTl0zej51KQNvEk8X2uf76l0W5bqADDiie7YPpy4i4DnlQXuoBlSfs/8YI7d44ldP2MH3VF0yfG5g+AFqPI44I3tt34YVPGOEtZfqSXvDN65vn5ezZVFw90rxgXY+jR2nEC6+h0pV4HPN77qzXHpgvXNdwHSPWS9FlFOPl626pbXgOu9KVYpv1VPL1A6qVyml7mL7qi89vfXCTN2D6akfej51KQNvEk9X2ueGGYLbvr/7qRtF/FGb7uLxp1dymzxik9dDwY633bYWDyeyZPi6rGuQ2selLan8WG4IojmZy5b5RdefwbL4rDUoeALP56ujo8JxnSX/YsPa9Oi6MY0tTFG4dS664papa+VRJSe0O1U7ltD1MX/WV98EpTB8AoBSOPPJOcV28nr73vaejsOqYvr4mMH1sKLQ/88vBZ7QYmJCOjmMx01ehvPWIbf9APJuntz8vyzjWANuVFsqG4o9jPs/4GBbHstMwJRzjiebOI319tcxatfKpkpKvH1CtVE7bw/RVXzB9bmD6ksn7sVMJaJt4stw+v/vdbFG+G+gv/uJXog8JZvtaxvS5DEW0HBoSO049xXWIV3Obvtj2VzJm+oIZziCOPjPYHO3Qqoo9jtkoBS7ePdObuG/1Y0JTaMCGh7dwMoU/FojjLAzj20qPVbPmtmHjuEWziOGy/K7yCNPKvDuEeVXhhXLzsa3i1ut6knz9gGqlctoepi9Zy0cdH51Hx49aHob6xfHsQU+egOkDAJTKe997s7g23kB33bVQLvN1Mq0qMn3HCaPHZM/0FQaaTiNSJ3Ed4tUCpk9I/faKB+jGzGs08HaZBSgrijuOeZ+rGVr3/k9zjAfGTx0jMovw2Ihmf6UhU8ZM+9TXyYim+NhTZeLyBTPTwfaceWvbLMTX6iDj1OecTb5+QLVSOW0P05eg5aPo+AGDaWqwQKOOP56SfB9MnxuYvmTyfuxUAtomnqy3zw03zBRlvIHe/vYb5TKXN63iTd+ydKZPGb+smD493I5TT3Ed4tUapk9XNAg3Buq+WSIoC/Ifx7pZCykyX8XHePRHgMh1aVIzw7aR042Zvd6Oqytapx1jdnxXnixelmUv1LOe15Lk6wdUK5XT9jB98eJZPn12z152ic85e8CTJ2D6AAClwrd1vvWtw8X18QYaN26JvE6mVbLpU2TQ9MkBojZwDH4X5hiIChph/LgO8Wpu0+du/3DBqWDfcJxyDCPUGHn3P5siY4drxipSqcd4GD/JmOnr7biGwjJNjonvypPlyDcwrPU5Z5OvH1CtVE7bw/TFq8jkTR1MAwYH834+cd/tGvTkBZi+2pH3Y6cS0DbxNEP7qNm+4MEutTB9y1ym7/KIzwgC03dsUYZJlG36jEGZa8DJUTDTV6m89UjZ/pExZJOo6uv4rV+8YYQaJd/+d51bxWHxx7hxfLCqPdMnJLchLoqFclnHm56nVtaobDJcHdvu47wWSr5+QLVSOW0P0xevJNN33HHHyfPUhgc4ef28QHyyeTvYs973+S/ik9Od5lmPT3ziM9+fPNs3YMA19I53/Foup1XVTB9zf71Nn1B0qxjjcA2ugWm9xHWIV5ObPiF3+5v10uOY43tXWihr8u1/52s2LOOU5hg3jgMV1zZyujHTP+VK3oaW1t6mLJNVVhmmbTcyfVZYFD0wjky9rifJ1w+oViqn7WH64oXbO4vBTF/tyPuxUwlom3iapX1WrNhJixdvleVNq8pM3ynC7Gnc/3D9TV+WxXXIg/JSD6g85X7/W7cpZ0U47xqnctoepi9BxoNcptLgAXiQC0wfAKBSqmb6nobpq0hchzwoL/WAylP+9r+aGVTU53bNUoXzrnEqp+1h+pLFs3vqvEua5WNxPNcgJy/A9NWOvB87lYC2iafZ2ofLm1Yu03fCty6mBcL0jX56KY1+pgCbvvfD9KUX1yEPyks9oPKE/d8Yod0bp3LaHqav+oLpcwPTBwBQVMX0reylu6cKs8fGL2TLdmH6PnhE/U2fHQ4AAABkBRZMX/UF0+cGpi+ZvB87lYC2iafZ2qdy03dRaPp6DBpm+ppVXIc8KC/1gMoT9n9jhHZvnMppe5i+6gumzw1MHwBAUanp+8Y3L6T5wvTd9eRig83b34DpK0VchzwoL/WAyhP2f2OEdm+cyml7mL7qC6bPDUxfMnk/dioBbRNPs7VPpabvP88Wpm/FFrpjykKDzduE6TvkcJi+tOI65EF5qQdUnrD/GyO0e+NUTtvD9FVfMH1uYPoAAIqKTd9ZF9D85Zvp9sfnG7Dpex9MX3pxHfKgvNQDKk/Y/40R2r1xKqftYfqqL5g+NzB9yeT92KkEtE08zdY+1TB984Tpu00YvdseK5BJ0+d/ObgW3qBHsnMdfEp6Mbn+MugC8S+5rpUqqQdLj6NHacQLr6HSFbf/pfg9d9Y5Zr5wXcN1jFgvRZdRjJevu6W24TnsSleKbdZTie0O1UzltD1MX/XF57drkJMXxn3x+LJM39y77pPpHv3OBc71AIDWga+TaRU/07fAIHumzxik9dDwY9XAk01fYwySLq6DU95yx4jTVG10W5oqqgcbgiiOtl84bbSPOLwxxhxKlnf/h2Lz1dHR4THuSeeite/VcWEcW5qicOtYcsUtVdXKp0pKaneodiqn7WH6qq+8m75VL86i537WSTu3vuFc74Pjf1a0zcbFrzvXg/wfO5WAtomn2dqnUtP3DfWbvicW0e0a2XuQCxsKzQjJwScvZmTwxnVwylfuGE3uaJwpqqQePJunmwFedu2jNG0ANUbe/S/FZp/NlzBhznMuwfT5ztWkc1hfX63zvVr5VEnx7Q7VUuW0PUxf9YXBKQAAxFOp6VPv6bvrqR6DzVl7ZYPLUMhlHryJRuCGYBp16yDXwSVvuX1q8GC0onoYM31sENT+yN7MLOSWb/9L8bEZuHjPjHXSvtWPCU3hMT+8w3XbpzjOovNbfBfp5Xf7HJHXAXsWMVyW31UeYVqZd4cwryq8UG4+tlXc2HO1ioptd6imKqftYfqqLz7fXIMcgLZJAu3jB20TT7O1D5c3rVym78RvX0ILV2+le6a9brBlxx76wIc+0gSmz2E0GjGLxHVwKZVZ0sTrGzkLVmk9eBaPD0oeoHd0aHGigXfjZjGhZPn2P0s/Nt37P42hD85RdYzILMJjIzrupSFTxkz71NfJiKb42FNl4vIFM9PWNUHPU9tmIb5WBxmnPn+giGt3qLYqp+1h+qovDE4BACCeSk3fyef8Fy1es53GPr/KoHfnHjrwwx9tAtNnyRdea3EdXEpb7kCNnwWrTj0CRYNwY6DumyWCsiDf/g/2mzJrIUXmq/j4jf4IELkuTeoPNraR042Zvd6Oqytapx1jdnxXnixelmUv1DPp+K6m/O0O1VrltD1MX/XF55xrkAPQNkmgffygbeJptvbh8qaVy/Sdcu7ltGTdTup6cZ1B7869wvR9rAl+02cpa6YvbblZjSq7rmrUI1BhhqUcwwg1Rt79z6bI2OEu817qHy3C+EnGTF9vxzUUlmlyTHxXnixHvoFhrc8fYbztDtVc5bQ9TF/1hcEpAADEU7HpO+971LO+n8a/vCFg5gaaIOjr30cHHXpkhkyfMSgrDDjZQBTMCA8iGzOLxHVwylPuYsWtq58qqYexL9gkqgGzmtGRKzhtkmGEGiXf/ncZ9eKweNNnnqtC6rjwGTD7U18nIxZLbkNcFAvlso43PU+trFHZZLg6tut3TnrPO6jmKqftYfqqL5g+P2ibeNA+ftA28TRb+3B508pt+i6PTN+EmRtDNmXQ9AlFt4ox2uBRD2/UDBLXwSd3ua0BsjWT1ihVWg89jl4d376DsiXf/nf+McUyTvax4JJxHKi4tpHTjZn+KVfyNrS09jZlmayyyjBtu5Hps8Ki6IFxZOp1PYk776Daqpy2h+mrvvh8cw1yAAAABPB1Mq2cpu/cy+TtnQXTt4kmvrI5MH2HRaZvlTB63zO4/+Fn6m76siyuQx6Ul3pA5Sn3+z8jf1yxhfOucSqn7WH6qi+YPj9om3jQPn7QNvE0W/twedPKZfpObL+UFq3ZTuNeWEv3v7Q+vL0znOmD6UsvrkMelJd6QOUpf/tfzQwq6nO7ZqnCedc4ldP2MH3VFwanAAAQT6Wm7xvfvIgWrOyje59dQWOfX0NdLwbGD6avRHEd8qC81AMqT9j/jRHavXEqp+1h+qovmD4/aJt40D5+0DbxNFv7cHnTymX6vnZGB81bvpnufKqH7pm2nMaExq9hps8OBwAAALICqxVN39TB+oz5ABo8NQhfPur4KOz4UcuDQCFfuE8czzXIAQAAEMDXybRymb6vnHoezX1tA932+AK6a+pSuve5lTR2xlrM9JUqrkMelJd6QOUJ+78xQrs3TuW0feuZvuU06vjjqci7LR9Fxw8YTIH/0+L4wmME0+cHbRMP2scP2iaeZmsfLm9auUzf8Se30+yedXTLw3Pp9ieW0OhnXqcxz6+m3p3C9BWe3gnTlySuQx6Ul3pA5Qn7vzFCuzdO5bR965m+qTT4+FHCvpni2Tx7do+XfeFxwuAUAADiqdT0fenEb9GsJWvpDw/NplunLKK7nn6N7pu+Sr6cHaavBHEd8qC81AMqT9j/jRHavXEqp+1bzvTJmTvt9s7QABaZuamDacDgqd7wOMH0+UHbxIP28YO2iafZ2ofLm1ZO03fSt2lWzzq6+Y+z6bbHF9HdXtN3qjB7GtL0fRSmT4nrkAflpR5QecL+b4zQ7o1TOW3fcqaPTVt0u2bw+z7XjF5a03fcccfJwQsAAIDSSCuX6fvyKefQnKXr6ZZHXqU7+PbO8GEuvUW/6cuA6fO+4JvfveUKr6O4Dj6lejG5pw71fql5pfXQ4+hRGvHCa6h0xe1/KXmcmq89MI4LHdcxYr0UXUYxXr7ultpG1U6BFNuspxLbHaqZymn7vJs+/aEtzgk6j7lTy77wOPG2ILfQNvFC+/iFtolXntvHZfr+47Tzae7rm+i2KYVZvnEvrHM8yKXRps8YpPXQ8GPVwDN4D5caDPLgsBGmguvglLfcutx1kEYpGuVy2ioOej2qqB5sCKI4XKcO8b8Qp1XfZXg235UGJQ+A+djs6OjwnGPaPnfK2vfquDCOLU1RuHUsueKWqmrlUyUltTtUO5XT9q0208emrTBTxw9mCZ/IaTywZSoNHuB6kIsWHiMMTv1C28QL7eMX2iZerWb6vn7WBTR/RW9g+J4LDF/XS+o9fUdlyPSxodAcjxx88qJhNBonroNTvnLrSlkHNoG1NrSV1MMuHy/LONYA29kGUCbk3f9SbPbZfAkT5jxeE0xfornzSF9fLbNWrXyqpPh2h2qpctq+1Uwfy3hlgzb9Jw1hGG7P7rnCffrABz4QfoNsoW3ihfbxC20Trzy3j8v0nfCti2nR6m3yiZ1s+O4Xhm/CzE3ZM30uQ1E8G9Y4cR1c8pVbV7o6NHamL009TPMalDeIo88MJs0GQY2Ub/9LsVEKXLx7pjdx3+rHhKbQgA3vKAwqg81wuDjOwjC+rfRYkV5+tw0bxy2aRQyX5XeVR5hW5t0hzKsKL5Rbno9h3KKy1kix7Q7VVOW0fSuaPgiCIKh55DJ9J59zGS1eu0O+kH38yxtpwiubaWL3FurbtZ8ObhbTdyzfbqYGdA0ygFwHl3zl1pWmDhynHjOaldSDxbN4wYD5WOro0OJEA2+XWYCyIt/+Z/E+V4eme/+nMfSB8VPHiMwiPDaiw14aMmXMtE99nYxoio89VSZ5vgTOUW7Pmbe2zUJ8rQ4yTn3+QBHX7lBtVU7bw/RBEARBWZbL9J1y3veoZ32/nN1js/fArF5BX3OZPnt2KRrg1VFcB5d85daVVAdzfW1VST1sRYNwY6DO9YPxy6p8+z/Yb8qshRQdk8WmL/ojgOukVDPDtpHTjZm93o6rK1qnHWN2fFeeLF6WZS/UM+n4rqb87Q7VWuW0PUwfBEEQlGW5TN9p519BPRt2CcPHZk8wu48mCdj0Nc1v+ko1I7UQ18GpFL+Fi6tDPQ0fq6J6GCqY13IMI9QYefc/myJjh7vMe6m37obxk4yZvt6Oaygs0+SY+K48WY58A8OKmb68q5y2h+mDIAiCsiyn6fvO96XpC2b4FFk0fcagTB9w6gPNgtGot7gOTnnLrctTBzZadRp0KlVSD2lQVePrZefvRtrG7CMoWb797zLqxWHxps84PljquPAZMPtTXycjFktuw5ils443PU+trFHZZLg6tn3na/XlPe+gmquctofpgyAIgrKsONPHt3YW6KW+fjZ9eE9fanEdfHKX2xogO+pgpAup9QxZpfXQ45i7yJUWypp8+9/5mg3LONnHgkvmMR3GtY2cbsz0T7mSt6Gltbcpy2SVVYZp241MnxUWRQ+MI1OvGem48w6qrcppe5i+0qQ/+TPNEz5LffJns0uvby2ejNqc4leDqNd+BMJxpKu4fXAcBa+TcdWpFY8dp+nj2zvXC9PHD3DRkE/vPDRjpi/L4jrkQXmpB1Secr//+Y8rGfyjA867xqmctofpK0H8IvfjR4nhGIsHZa53+aUIz6u4vkb7hC/Eb+n24Xc78oBbMzU4jjQ52gfHkaiSMGrK7Mr6hXVq0WPHZfpOlaYveJCLDkxfieI65EF5qQdUnvK3/9XMoKI+t2uWKpx3jVM5bQ/TV64KL2rnAZr9l3Ve9oXnVjzAdAxIW7d9uA14wM3Hihp422rl48jTPjiOLPnMWuscOzB9NRTXIQ/KSz2g8oT93xih3Runctoepq908cBJv1WqaCDFf40fPNUbnmvJmQX+o1RhkIr2cZs+HEdKjvbBcVSQYYIDtdqxE2v6XhFmT6PI9H1WGD2dWpk+OxwAAADICiyYvnLFf30PBl0tOxi1JQfqavDun4VovfZxm75AOI6K2gfHUUFGW9hqnWPHZfpO+456ZQO/lL2ANH36g1zqZfqaVVyHPCgv9YDKE/Z/Y4R2b5zKaXuYvvLFAyrXwEot+8JzK2NAidvyCoozfUG9W/s4stoHx1GgWMMXiOvaCseO2/R9n5bKVzbwi9kLwPSVKK5DHpSXekDlCfu/MUK7N07ltD1MX3qpAVa4JP/KLhc9MxPe8Lyq1HZomfbhuql6crVxHJky26fkdshj+xh1KqhVjx2X6Tu9YzAt3fiGfCG7TtF7+mD64sV1yIPyUg+oPGH/N0Zo98apnLaH6StN+uPSC4OvcDAWhtt/WXeF51V6fbXmafH24cG2OYDHcaSruH1a/Tgyjg9Jway14rHjN327adKcrfSgxlZh+g6G6UsvrkMelJd6QOUJ+78xQrs3TuW0PUwfBEEQlGUlmT7d+DlM3xUGgekbVJRhEjB92VZe6gGVJ+z/xgjt3jiV0/YwfRAEQVCW5TN9yzbtpgfnCrMX8pAApq9EcR3yoLzUAypP2P+NEdq9cSqn7WH6IAiCoCzLbfqGhKZvW8RDApi+EsV1yIPyUg+oPGH/N0Zo98apnLaH6YMgCIKyrLSmj4HpK1FchzwoL/WAyhP2f2OEdm+cyml7mD4IgiAoy4Lpq6G4DnlQXuoBlSfs/8YI7d44ldP2MH0QBEFQlgXTV0NxHfKgvNQDKk/Y/40R2r1xKqftYfogCIKgLAumr4biOuRBeakHVJ6w/xsjtHvjVE7bw/RBEARBWRZMXw3FdciD8lIPqDxh/zdGaPfGqZy2h+mDIAiCsqzyTN/fhKbvNGH2NO6fDNOni+uQB+WlHlB5wv5vjNDujVM5bQ/TB0EQBGVZ8aZvuwFMX4niOuRBeakHVJ6w/xsjtHvjVE7bw/RBUBW0fBQdP2AwTQ0X86WpNHjA8TRqebioS9Z7AA0QDC6qvDvd8lHH0/HOzGKUsn2nDg7KMuD4UVTiFqAMy2n6vhuavleF2dOQpu9wmL7U4jrkQXmpB1SesP8bI7R741RO28P0QRAUryTT5zJjnIYNWHE6NmbFBrGKmjoYpi9ngumrobgOeVBe6gGVJ+z/xgjt3jiV0/YwfRAExas008czeTzbdvzgwWKdnY7zqvGMKExf7uQ0fR1DaKkwfZPmbjPoa9TtnXY4AAAAkBVYMH1Q62k5jTo+vA1QNyChgRkVmhZpXCynE90+KNeNKpgh3fwk5uPZvksyr8I2CzNkQR6DRRkK6+284rYTXwZvPW25TN/UqSJ3/sLrrHRsyKJKOOrA6ziOviyjattJal+YvtzJbfoG09KNu+mBOVsN2PQdhN/0pRfXIQ/KSz2g8oT93xih3Runctoepg9qNUlDE5oJOStlGAvNQEjzUTA0Mq5mJgJj5DN9/ny82y8SmyLNNBlmRpk2q3wpt5N2Hcuopy293rbkOjMdb6tg0MI6RHUKbwk1lktvX7kM05cruUzfad/5PvVseIMmzuo16Otn03ckTF9acR3yoLzUAypP2P+NEdq9cSqn7WH6oNaSdatikZnwrJPp7N+ixZmSuHx862yFpsjcaKhgnTHDJfNWZYzbTgnrWHZ9dMWVvyidZWLDOhSqF7Osb8fO1y4DTF/u5DJ9p55/BfWs76fxr2yiCRp9/fvooENh+lKL65AH5aUeUHnC/m+M0O6NUzltD9MHtZYCYxTdPigJDYRtHoxlhxnSw4pMSVw+nu07Zca3Z8lMP6iHxW0nZp0sa0w9bdl11VWUF+ejx63E9PnaVwimL3dymb5TzvseLVm3k+5/ab1B7869dOChH4PpSyuuQx6Ul3pA5Qn7vzFCuzdO5bQ9TB/UWirBwBjLgVEyTZaWV2pTErP9JBm3MbpMn17GuO2Uui4mvl1XXXKdlo7LbxQYpg9KJ6fpO/dyWrx2B417Ya2BNH0f1kzfcad9D6YvRlyHPCgv9YDKE/Z/Y4R2b5zKaXuYPqjVZPxmTTdSCWZC/vZNMxPGb91KMCXe7RfJMluGmQkMkZ7WWT7PdhLX+eppy66rLrmukI7zUZsMBNMHpZPb9F0mTd/YGWsk40Kcpk83fjB9prgOeVBe6gGVJ+z/xgjt3jiV0/YwfVDric0UGxnLzCSZCaHAAAUkPb3Tn49n+y5JQ+aKGxqiwfp6s6zx24kvg7eethxtFEmuU+m4vHYeMH1QOsXN9I19QZg+wbgQr+lTwPSZ4jrkQXmpB1SesP8bI7R741RO28P0QVC5smbi6irbIDVIcaavUYLpy52cpi/8TV/XS+sNin7TB9MXL65DHpSXekDlCfu/MUK7N07ltD1MHwSlUWCy9Kdl2rdT1lcwfV7B9OVOLtMnX9mwfhdN7N5sIJ/eqb+yAaYvXlyHPCgv9YDKE/Z/Y4R2b5zKaXuYPghKK/2WSKaRZidLpi9oj4aXRSi6LRWmL1dymb7TO4bQso276cE52wy27tpPB+svZ4fpixfXIQ/KSz2g8oT93xih3Runctoepg+CIAjKslym78wLrqTXN++lyfP7Dba+8SYdcvjRMH1pxXXIg/JSD6g8Yf83Rmj3xqmctofpgyAIgrIsl+k768Kr6PUt++jRRbsNtr3xJzrkiGNg+tKK65AH5aUeUHnC/m+M0O6NUzltD9MHQRAEZVku03f2RVfT8t799NiSfZLHQ7bthukrSVyHPCgv9YDKE/Z/Y4R2b5zKaXuYPgiCICjLcpq+i6+h5X1v0uNL90dMEbDp++BHYPpSi+uQB+WlHlB5wv5vjNDujVM5bQ/TB0EQBGVZLtP3zUuuoRXC9E1ZVuAJwfbdJEzfx2H60orrkAflpR5QecL+b4zQ7o1TOW0P0wdBEARlWWlNH7MNpq80cR3yoLzUAypP2P+NEdq9cSqn7WH6IAiCoCyrKUyfHQ4AAABkBRZMHwRBEJRlYaavhuI65EF5qQdUnrD/GyO0e+NUTtvD9EEQBEFZlsv0nX1x8PTOx3v2GcgHueDpnenFdciD8lIPqDxh/zdGaPfGqZy2h+mDIAiCsiyX6Tvroqvo9d599OjiPQZ4Tx8EQRAEOQTTB0EQBGVZLtN35oVX0uub99LkBbsMtr7xJh1y+NGa6Tu19qYPAAAAaAbsPoyVZPoAAACAemH3Q6d3DKFlG3fTg3O2GWzdtZ8OPuyo+pk+AAAAoFlhxZk+AAAAoJGcev4V1LO+n8a/vMmgr38fHXTokTB9AAAAQBIsmD4AAABZ5eRzL6NFa3fQmBlrDHp37qUDP/wxy/Qpamj6RowYQVdeeSVdfvnlFcF5cF71zh8AAEDrwYLpAwAAkFVObL+UFq7eRqOnLTfYsmMPfeBDH62v6eu87jq68cYbaf369bR///6K4Dw4L86zXvkDAEDt6KL2Ae3U1d1JbQMG0ACN9i5X/BRwXm2d1J02PIbuzrbiMqXNp4ztpcLRVlHZ7Hje7Yft7lxXgAXTBwAAIKuc+O1LaMGqrXT306/TXQL+ZLZsZ9P3kfqaviFDhtDGjRtp7969tH379orgPDgvzrNe+QMAQK1gU+U2Ut3U2Vam8fOZnRJNmDR8Rnw2SqJMnWE+Sfml2V6JZZKkTaPi2Z9qfVc7DWjvKk6nwYLpAwAAkFVO/Palgel7Rpi9Z5ZHBDN9PtMnuP/h6ps+vm2SZ9FcJqscOC/Os175AwBAbdBmm1xGJq25sfGlKyk/Np1t1NntWJc2nzTxyqljudsvSsd1jJ/tY8H0AQAAyConnXMZLVqzne59bpWBNH0f9t3eWUPTt2/fPtq2bVsRizYsoRte/S2d/Oy59Ikpx0v4O4fxOlcazss2fb78NyxaRK/ecAM9e/LJNOUTn5Dwdw7jda40dv4AAFAT9Jkmp5GxTGF0K6PHKKpl+dlO7W0x8Y38HObOztu1zogTzAIat1q61ht5BrOZMo0KN8rlMWRJZYvSh/nK+Fp7aGm72uNnU1kwfQAAALLKKed9jxav7adxL24w6N25jw481PcglxqbPjt8TM8E+txT36B/n3kKnbz0fDpr1SV0puDknvPp8y+fTJ8V6ziOnc5n+vQ4TM+YMfTU5z9Pr/7Hf9DGc86hHRdfTNsvuog2tLfT3K98Ra7jOHY6mD4AQD3g2yfbOruDZaeRUbNt5q2e8rZLNot2GrUcGh9/fGsWz7VtV5i9zshPN09s8ET+XWp9uJw4a+ippx6f4TS6sZOwQbTKwaZaL6exrQBjHzhgwfQBAADIKqd9ZzD1rH+DJrzSZ9DXv58OKnpPX51MX1+fKEDIfYvH06AnvkInLTmfTlxyHn19wbfpMzO+IeHvJyw+l74hOHbKl2VcPa3P9OlxFt93Hz35qU/RemHw1n3727TqrLMMOGz1N79JT3zykzKunhamDwBQD5JNXzjTZ6/zmZi4cD0fuWybpsCU8cyXXBam0MhDx96O+nTFU/n7fjunp7Xzics3Tbhatj+1NDB9AAAAmpnTO/6blm7cQ5Pm7JQ8GLJ115t08GFH19/08QNStmzZIpm/ZiEd9+jX6RsLz6EvzTqdvth9Gh37zFdkehZ/5zBe9x+vnk2feeTrMo1Kz3nZpk/Pf838+fTYZz9LK4W5W3zCCbTwP//TyaJvfIOWnnwyPXrccTKNL38AAKgFiabPZ1YqDedP362TEdZsoI4rP317ejzXDJwdR6W184nLN024WrY/tTQwfQAAAJqZMy64ipZt2kcPzXvDQJq+wxtk+jZv3iy57uUR9NnnviFv4fz09K9LPj7l32V6Fn9X4Z998UT65NSvyDQqvc/0qfUvX3cdvfSlL9GcL3+ZXvrc52KZJeJN+8xnZBpf/gAAUBNif9OnGyXfbY/hTKBKo9/OqIVH8aNtWCbMiq+Q6YwyBb/LK356p23q7Ns7RZhnG2a9ffXU4jNGGh1Her2cjnT4TR8AAIBm5swLr6LXNu+jhxfsMdj6xp/okMOPaYzp27Rpk+SEyWfTF2eeRm1PfYk++vC/ST404V/lupUrV9IBt36Q3jXyYMl7bv8wHfHgJ2Uald5n+tT6ySecQPO+9jWa+q//GvH4McfQAx/+MN37z/9Md7znPTTqXe+S8PfJH/uYTOPLHwAAaoNm2qQpCm+FDDHMiL5eMy7S2ETh4S2Zdl4qvmF6AgMXxPHM6AmM/AWyTCofb35WPCMve1sqnaMdtLQGehwNOWNnpNfaQ+ZlbUuaRIcR1WDB9FWfBQsX05Qnp1HX+IdyB9eL6+eqNwCNAudcfjnrwqvp9S37afLCfQbS9B3RANO3a9cuWrZsmeTj935GzvId8dCnaPfu3bRixQqaP38+LVy4kJYuXUrLly+n1atXyxelv/OOg+i9XR+TaVR6zss2fXr+93784zTnK1+hKeKT83/ttddEp99Nc+bMkflzvr29vZI73/lOGv/+98s0vvwBAKBWsBGKm2kCNQTv6WsYK1dtpA2bg/bNm7hePa+vddYbgEaBcy6/ZNv03f0Z+uwLJ9BBEz9O8+bNo1dffdVp+PhWy3feexD9w8TDZRqfKbPzv1sYuFe+8AV6+EMfotmzZ9PMmTOdho8ZJ0zfA//4jzKNL38AAKgd2mwfqCPp2p0F01d9eACaZ8H0gayBcy6/ZNL09fT0SL465hQ6Zurn6F1/PJjeOeaggNEHRYaPv0fhfxSmb9JhMo1K7zN9av2Yr36Vnhk4kP74rnfRGGHq4vijYJIwfZzGlz8AAIDWhAXTV30wAAWgvuCcyy+ZNH1LliyRXPvoUDpsQhv97dMfonc+JYwd8/BBhVs6xfcoXPCB+z4i06j0PtOn1j967bX0wEc+Qs+85z30lDB1Sdz3gQ/INL78AQAAtCYsmL7qgwEoAPUF51x+yZzp6+/vp0WLFkmmzX6WPnHrZ+l9z3yM3vXCwfTOF4S5e+Kgwi2d4rsME7znyQ/Rv956nEyj0nNetunT8589bRrd+olP0LT3v59eeNe76AVh7Hw8KYzhrf/6rzKNL38AAACtCati02c90AYUD0AndxQeyDOgY3IY2rxKPQDl35VGDx6q8jGi5x1Sq98PR+/3tEn4zWzdaeFzEedciDovnMdB8ARoXt9Mv7XPpOlbsGBBxO+m/IE+etNA+vvph9K75gjjN0eYvMkh/F3wnmc/SB+56V9kXD2tz/Tpcab87nd000c/StP/4R9ojjB+c4TBs3lWGL6bPvIRGVdPC9MHAACAYWXC9Ol55GDgagxAe0bQoEEjqCdYoBGDBtGIYKFpVdIA1HidiiNOWYjBa2douMQ2+Mm2Sa8nqQ5V/I1yLY75pHzqeW7Von4x4JwLUeeca11Ifc6V6pE507dz50750Bad347/PbX94pP0vrsPpb997hB697yDJfydw3gdx7HTcV626XPlP/63v6VftLXR3e97Hz33t39L8979bgl/5zBex3HsdHb+AAAAWhNW5kxfDjAGoJM7jJkGnoFo9omHxps+Bc9cBK9JaWrTVy2S8qzneVbncxrnXAhMX31M39y5cyWzZs2iqVOn0sSJE2nkXSPpwhsuoi/85It09FUfl/B3DuN148ePp6eeekqmUel9ps+V/10jR9INF15IP/nCF+iqo4+W8HcO43Vp8gcAANCasKpm+sLPTu1WuGhgwevCsOhdhjJ+O7WHtxtJtHx4sGjfVtcsAxV9ANozYhAN0qYZ7OVmVGWmL3yfpFo2jo0w3Do22jq7otvS5Psqo3SF92I2xPQZ5RSf3uM1rHMUXrjNzj7mzfYItxWud55bOiofZ3xrmyp+uN57Xhrfw3RF29LiyDLXqH4x4JwL0Uyf/h7a6LwRwPQlkGT6duzYIV+bwLDBmjFjhjRmTzzxRCxsyDgup1HpOS/b9NUyfwAAAK0Jq6qmTx+sRQO9wmxMcXx9oKkNCtV3HV94BsEANKTI9LH50Y6F0BwUHTP8qR8bRceJZirCAW3DTJ9RHw2rrIWyhW3Qpdb748pBu2o/57kVLitUuC++kS7leVnU9jHxRbhRZhU/+l5h/WLAORcSmT7tWJXtWzhuYfoSiDN9Q4YMoZUrV8qHtLC5qgTOg/PiPOuVPwAAgNaEVe2ZPjLkAO0AAJZlSURBVPegsDBAD/ANeh3f9XR6/hkGA9AQ3fSpfSgHpOF6fV/ry/Yx4Ppu0biZPqv89vHqK7OrXq784sLVsh2eJh/+rpdVkvK89OWpwrmNXGldcePC1XIKcM6FRKav8IcRfZaPgelLIM70XXfddTR8+HD5SgaeRasEzoPz4jzrlT8AAIDWhFUf06cNlO313u/WrJAeJ+PoA1D8vkiZPj4GrFkve5+qZT3c992i8abPc7z6yuyqlx03KVwt2+Fp8uHvZZ2XVrw04aXE1cPVcgpwzoVEpq8QxudGdCttuNxspu+1zcL0LciA6WOGDRsmZ8/4tslK4Dw4r3rnDwAAoPVg1dz0uQb6PADR4zu/WwNsHszo+WcYYwCKJwkW799ov3pMoPN4sL5bZMP0uY5Xq47KHJZ6e6deb187qHBffCO8xPPSVz+VLgwv+/bOaDt6/HA5BTjnQvRzLvojBLd74Q8SMH0JJJk+AAAAoNlg1d708TIPGLVbyHjw4VxvDjrloDBKJ9DzzzDGAFSopd8Z5hjUB/tVOw7sfazH9323aLzpizte9eNfldN9zBvt4au3rx1UuDe+tk25Ti+X47y08jHqJ0xEYVviexSu4tegfjHgnAtR55z4ru+vZn+QC0wfAAAAUAGsik0fKMIegOZNldxqFkup8TWabSCbG8owaLUA51xIinOoWU3fw2z6FDB9AAAAQHpYMH3VBwPQEB6A6jM6RZgzYNFskzOuj+CWQU4P09cAYPrqouqcc815rhRM314JTB8AAABQIiyYvuqDASgA9QXnXH6JTN/8Opm+/fv3o2MEAACQK7hf4/7NtQ6UDwagANQXnHP5xTZ98jbPWpo+Rhk/AAAAIA/A8NUGHoBu2BzMpOZNXC+YPpA1cM7ll8D07aM/sunTjF9NTR8DQRAEQXmRq58DlbNpUy+t2tCXW7h+rnoD0ChwzuWXgunbI1HGr+amDwAAAAAAAABA7Ulp+lbSZ4TRY2D6AAAAAAAAAKB5kKZvkzB983aHCOMnkKbvcN30nXK5Yfxg+gAAAAAAAAAg+5x54VW0TJi+h+a9obGbtu5ymb7Q+MH0AQAAAAAAAEBzcOYFV9HSjXto0px+epCZG7B115t08OFHw/QBAAAAAAAAQDNzxnf/m3o27KaJs7YJttMDs5kd1Oc1faHx64LpAwAAAAAAAIDMc3rHEFqy/g26f2avoI/Gv8Jspb7+/XTQYUd5TJ8Apg8AAAAAAAAAss9p3xlMi9f107iXNgk2U9fLzBbq7d8H0wcAAAAAAAAAzc6p53+fFq3tp7EzNtCYFzZKxgp6dwrTd+iRMH0AAAAAAAAA0Mycet4VtGjNTrrv+fWSMWz+BClM39MwfQAAAAAAAACQceRMnzB9Y2YEho9n/FLO9MH0AQAAAAAAAEDW4d/08e2d6rbOsS8Gv+2Tpi/+N30wfQAAAAAAAACQdfjpnYvX7RJGb4uk6+VeSW/y0ztrbPq62mnAgAEFBg6jble8atI9jAYmbKerPShPe5d7PQAAAFAOqn8por3LGb9edA8baJQH/R8AADQf/J4+fmWDelUDM6E7eGWD/z19tTZ90vC1U5cdVmvj5zN9UXgXtatypTCIDacZyggAAMBC62sajDR8Rj/CZauz8UNfBgAAFXPmBVfJl7NP6N5OE2ftiOjr117OvkiYvn+rm+nrpmEDB9Iw4Tzd62tIUseir4fpAwAAUBOyYvoa2B/roC8DAICKOfNCNn17aOLsnfQAM4fpp75db9Ihhx9jmj7d+NXM9KW5uHOc6FaTQodk3xoj/xIp82un9oEcZnai+i0rA4d1R9sepuVTyGOgsc2BMj+BXVZje0xhm2nK154Yh8vaJTpi9V2UW203Ssdtwp11uKzKWBSnePvD7DYJyw4AAKBeOEyfcf0O11nX7y4jjoCv/TKO1k/py0Z8h7mz09oY6fUyefpRfRv6spGPq28KiSu3Ed9qOwAAAHTWhVdL0ycN3+x+yaQ5u2pv+ua/vqYIuU5euLVORv9tnwy3/vJox1eocNk5aPEjrFs1tQ5TdlB2Hvqnvi7KT0ujbU8aS9fvMfQ8neXzxLG/yzJ42iRaz+ExcaLtO9pEpg1w7TMAAABh/5WCdGlt0xf8EU/1TVG/Yly/rWu8+kmE0Q8IouUUfakrLCKuTI5+VHznP3yqPyYW+sYUfZNRjhTxZbwAV3sDAECe0a+BOtL0bdwrZ/ceEGaPmTT3jcD0HVEj08cFckmuNy7uGsaFXf2FT6F1DHq4iu/KL+ywOJ4xW6bH1bdp5+XL15WHYaQSypcUx/XdTiMRbdJlxU2K42oTDQiCIMituI5WEdv3GVimT7/u68t6eJo4drirT9BNk51WJy5fV7jxXTNuHOYqh91/6d+T4mtAEAS1mnz9UWT6eJavHqZPdXqudQHWX/EU6qIvL/jmDFQAd5JaOj2+oyPQCW67FHnace089PW+fH15pCpfijiu7/zpahM7blIcjahNrHAAAADFsOKMX3Lfp1Mv05d0jff0x0yp25PLYX5Ff5BM0X+VEh8AAFoYlqs/Ckwf/6avX5IB0ycoenond4DChMgLejAbZdw6IuNanaTv1haFTKc6M0dHpOLoeeh5xeZbKEfhFpY05UsRx/nd0yZG3iniyDCrTVydPQAAAANWzUyfdf02bqWMrvGcRrtmq/7D16/4+gQVL0RuK9oGw/lxujRlEljLMp5IX7ibJGXfFOWRIj4AALQwLK/pkw9yyZLpY7hj8t66EXQ60bqwk1OdSQTHj+kI9PiyA7LjqmX7U65XZbA6SRlHe+iLll+a8iXG8X13toldRkecmO27bvEEAABQDKt2pk/A12p1/Xb2AQK93+R+KFxn9CtauLvfKMbul0zDFYb7yuRaLtpWUt9Uel8GAACtCqsqpk8Zv5qbvmYFHQ8AALQcrOqZviqAvggAAFoSltf0Wbd3MrGmj4Hp84COFgAAWg4WTB8AAIBGw/Kbvr2a6QuMH0wfAAAAkBJWpkwfAACAloQVb/p2hgTmD6YPAAAASAkLpg8AAECjYflN3x6aMGunRBk/mD4AAAAgJSyYPgAAAI2G5TV98kEuhVk+mD4AAACgBFgwfQAAABoNK970FQwfTB8AAABQAiyYPgAAAI2Glc70Bbd5wvQBAAAAKWHB9AEAAGg0rDjTp37Pp37bB9MHAAAApIQF0wcAAKDRsJJMnwK3dwIAAAAlwILpAwAA0GhYaU3fhFk7YPoAAACAtLBg+gAAADQaVkmmr1+YvsNh+gAAAIBEWDB9AAAAGg0rnenbQRO62fTth+kDAAAA0sCq1PR1tQ+gAQMctHc544My6e6ktrZO6natayHU8dbeFYaV1S5d1D6gnbqc66pFPbYBQH5gpTV947u3U68wfQcffjRMHwAAAJAEq1LTVwCD3IhaGLR6mr5StxUXX19XcR20Y0zlVUae3Z1tBdMYR6Xl7WrHHz8ASAkrjekb372D7p+5LTB9h8H0AQAAAImwYPpqQMXmxkEt8vRRzW3VOq+S8y/hOK247N3U2YZzAoA0sOJN345glu+V7TTu5a3Uu3M/HQTTB0DzMHfuXJo4cWJu4fq56g1AFmDV1PTxoDm65VOfoWmn9rYwzIgj4EG2PdjWl434bdTZHcYx4LIU8jRuBYzC9fJ0Uqd2m6qML+Nq+evLrjLIfFS9QuLKbMS3jYGj/DK+o5wivn2LbSF+If92VxznttiohMupy1+Iy7NoKq+2zi4zr7AOwX517yMzfXdYRjt+eNzYebrKGaUPcc2+yXRafCMfQUKZ/eHBvtGXAQBuWLGmr5tv6wxm+ca+2EtbduyjAw89CqYPgGaBjdGqVavk+ZU3cb24fq56A5AFWLUzfYF5MAbzPNg2BtgcRxts84C8yBwIomUrvh1PYm43KBeniSuPFl/LkwfsynhE8X1lkPmE4Ua5UsSX8RSe8ndxfHc5jfSJ+Wtx4rZVSvmj/LRjQK7XzFma7XY70sv1Ia68jDwd5dTTC3g/mmYywLmvjTx8ZfaFB8u+7QEATFhxpo9/x3c/z/K9tJXufX4zbd6xlw788JEwfQA0C2yK8npusWD6QJZh1cz02YPuokF6yjh2uDajEqAN9PW4atkXrufpCje+a4aCw1xl0I2SnUdSfB09bVx43DY43BU/KY4e15e3xFffwABxnMjo2Hnxdz3MwJFeJy4v/jTKyFjHhsBrwqK8rX1tb8+bzgoPgekDIB0sV3905oVX0ZL1u6lr5jZ5W+d9M7bQXc+sp03b99D7P/gxmD4AmgWYPgAaB6v5TJ81+2Njp/WF63m6wuVyaABsg+Mqg57O/p4Uv5zwaNmcWYrCjfhp4mjo4fy9lPqGBLecinSueI74NlF6PTwuL/50ldPCb8I8+9r1XccXHgLTB0A6WE7Td8FVtHj9G/KWzjHC8I1+dgPd9uRq2rR1D73vkI/C9AHQLMD0AdA4WDUzfeGsjbrtjQe/xbfMWWZE3d5p5xWFm3nKvIoG+lacaBtpyiOwlmU8Y+bJUwY9nZFHivgGnvLbM4NRek9bGfmnbE/ntkqor1yn9iens/KK0sRs106vjg0jvfbdl6csi1ZnBddd3qZrhQuK9rW+PV+ZE27vxG/6AEgHy9UfnfHdK2nR2l107/SN0vDd/tRquvmR12lD3xv03oOOyI/pC/7S5cBzwQKg2bBN34yRl9Kll4aMnGHEbTZYZZk+HpTwea4NZILvdtxwnYibflARDv7kgCi8nmikyscYCJVIirTqule3gZLVFnK7ldSx7oT71LkuHlbtTJ9Ab1vVnnbbquNdxmmL1qkBuB0ebCcM1wbXJnoc7VhKUx7XctF2HGUw0qn1qj2S4ts4yh9TTqOtGA634jvjyHWutiqx/J6yBOZJy8sok2u7rvRBuF3n6Ls3z7hjQ6+XdsxyXkY6rezGckB0XHnD+Rqt5Q8A8MJy9Uendwyhhat30p1Pr6XbnlxFtzz6Ov3mgcW0vncX/fOBh2um7+TmNn0FrAsTADnBMH09k2jo0EnUI9f10KShQ2lSjxm/mWCVbfrCP+zwAEgOIERYMADiQYQ5mCnlL8lRfsZAqURqkTYK1651lWwnNbw9rT15m7z9xHJa4Y0mZvYiDlb1TF8VyGr7glwRXQcd66pKmeclAK0Iy9UfnXr+YJq/cjuNenw53Tx5mTB8i+iXY+bSus399I8fOEw3fZeFwPQBkEUM0zdjpDG7x7N+I2eY8ZsJVqWmL5rNUwNhsc4erKQ3fVUyVLVMq6+vhwHwbaMe264q5c0osGD6QOtRjzEVxm0AlALL1R+dfO4VNHf5VrrpoSX06wnz6Rdj5lDnnS/T2k076R/ef2jB9H06z6aPO8fodgJ9IKe998eII+DO1O5U9WUjvuPWiNj8C/Gdt2e44hr5mXkE8bV4dlpVJtDU6KavZ9JQGjqpJ1pnLzcbrMpNn44Y2LcXD4hTmz49X3nuuQfX9m3lhZlB851c8n1hWjk5nX07VtG1INyu851ofAtfGMbneZu2LaOcdtnVsl3GVAOuwFTH3kYmr79hOUrdFseT60NUnkZ44ZqW3Pbt1Om6voZp05n/AqxMmT4AAAAtCcvVH5347ctozrJeGnH/q3TDPd007I6X6Ccjn6c1G3fQP7zvw61g+oKBiurg5cCKB19yIKEGEBxHM0g84NMHLSqvaNmKb8dTYb78o/haWWV8/u6Ja+RnDhqjOqUpF2haYPoc+EyfY5aPSTvY53MqMgny3DMNhtO4uM5VI0ylcf1V23EtkJ9aefW89E99XZSflcZe5k/telK4hoTxvPA1RrWBVUdZB8f1J9W2gnyL6pr2mubcluv6GsQ39m9KWDB9AAAAGg3L1R+d8K3/olk9m+iGe7tp6G0v0I9veY6uvWmaMH3bfaYvMH5df8yJ6bMHCfrgQIWniWOHGwNAbQBkx1XfnfELA6j4AaaI630amTYoSlMu0LTA9Dlwmj4+J7RrgEbZpk8/93Tsc05dH/RzP/webdtb5iAP73bVsv3piMvbCsrDs4Axeejh+nUzDfofx1T99XqVsi1XHDvvCM/1rmhbjjYNgekDAIDWYsSIEXTllVfS5ZdfXhGcB+dV7/x1WK7+6D/PuoReWbyROu96WRi+6fSD3z8j4Zm+f7Rv71Sw8YPps+LY4UkDJD1tivjBIE3E8cXV85OEZs9+xHNSuUDTops+/KYvxGWgRFgwoA8H/dp5U13TFzOzpZ+T6ntY1q72+D/EGNcCfbt2/r7t6CTl4YuXivBay2nldSdob+/MpErn2pYvDn86r2kp2l4jatNwuVGmb8HCxTTlyWnUNf4hAAAANYKvs3y9VdfezuuuoxtvvJHWr19P+/fvrwjOg/PiPOuVvw3L1R99/cyLaeaiDfTz216ka296ln7w22foh7/nmT5h+vQHueTW9FkDEe7s5SDRGBxYAwj1F2w7ryjcMbixByZG/p748lNtl+Pw95i41mBG1sX4K3aKcoGmxTB9eHpngG36tGOezw95LkQmML3pM/J1nHsBnuuDHt9Iy/FNExohy21dC3yz+/anvk7FjYgpoxYeXRdVPAdFcXz1Vfmq8FTbcly7ZJ6+a1rKti+6vgbxUx8HGqxKTd/KVRtpw+YgLwiCIKg24utsz+tro2vvkCFDaOPGjbR3717avn17RXAenBfnWa/8bViu/uirp19ELy/YQD8b9YIwe2z6ptGPbp4uH+RivLIhv6ZPIDt//kuvNuDSBwcMDxqiOIVbopSxssOjAZykMJgwtqnn74mv518wb464RfmFYUXbTigXaFoM0yfAe/oEfN56zUpgGHSTlX6wr11H9OuHBp+vxvWB4W3p56p13vL2fTNMRdcC+5xXy/anXK/Oe+vaJ3Bew2Ra8T0K17aj190imDFTaO2jpQ+2J649yrTGbkuD40V56/Hc17TEtrfiFNqdjwt3/eJgVcP0QRAEQbWXbvr4tkmeRWNTNefRq+nFcWfTK+O/RXMmtdP8P55DCx4+12DRI+fR4imX0LqeJ4pMGcN5cZ6u/KuBnb8Ny9Uf/cdpF9JL89fTT0e9SNf+nn/PN51+duuLtG5LP7334I+4TR/TvKavClgDBwCygG368gSr+qavmFJmeNgwlDobFI/fTNWd2GucKGc1r3/lXE9L3K8lUWbeLJg+CIKg5pBt+vbt20fbtm2Tho/6r6eNi6+iJc9cJJeXTP8R9a4eK1LNjHhj26M0/5GLZBobzss2fSp/hsM2bd6cSG9vr5Gvws7fhuXqj758yoX0ojB9Pxv1Ev345hn005EvUufd3fLl7O875KN+0zcOpg+mD2QKmD4HaoY+8XwNZ/1E3PRGroomLSynb5av7tTzGpdqW/psHlOruxTK36csmD4IgqDmkMv08Xc2eW/u/F96c0fAnt5htGHhVYEZfP0GouUhfV304AMn0mH3HEDXPvP9KC/GZ/rU8vMvzqbbxzxPN901g35/53T67e3P0a9vnRbyrGA6jRw9nR57Yrr8DZ9KpyjX9B1/8nfpxXnraehtL9PPbn2Zht3ZTb8cO4829u2mD3zoYzB9ADQLMH0ANA5WNU3f5A7d5Gp0TA5j1E89IwYZZWhAESAIgqoql+nr6+uT5m7/tusk+7YynRIO3zP7Cnrz1cHiYj9E8sD4E+iQO95F/3TbX9OJY74k0zM+06fWj7zrMTrnR8vpq5evpy//11r60iWr6QsXraR/v2AFfe67ywUr6ITLF9MPrnuQ5s5bHKVTlGv6vnRSYPqG3dFN1901i26471X69cTFtGnrHjrww0fC9AHQLMD0AdA4WNU0fQVNpo4BHeL/xkgavkEjqCdcDspTZ+PXM4IGGWWogmqRJwRBTSPb9PEDUrZs2SLN3d7eTjnDt2dLAQ7vn3k57Z51RWT6uid8i6Ysmkx/f8vb6V2/eyv99NEfyDw4L9v0qfyZ8RMn09yle2j6nF00fXa/5LlZOyXPdu+gx2fspNseeoOuu3UFPfvCYtq8OUinsPO3YTlN34kd9NL8DfS/o+fQL8bMoxsnLKabHn6NNm/fSwcdepRm+k6C6QMgy7ApWrVqlTy/8iauF0wfyDKs/Jm+HhoxaBCNaLQzgumDIKjKcpm+zZs3S3O3e9PP6Y2NIRt+TrsEHL71xcuo/5XLaeHM8+ir44+gr40+QqY5c8KJ9Nbb/pze3/keuewzfbyOeeihh+hPfyIRtq+IPXv20bxl++mbP1hJnb97lua8yqYvSKco3/R9l15esFEYvvmB4fvjazTq8VW0eYcwfYcdDdMHQLMwd+5caYzyCtfPVW8AsgCrbqaPDUt0u2W4TpqYDuoYFIYZcQRscGyjoy8b8UOjZ8e3ZaTRyzGCRmi3p8pZQRlXM5D6spGPvm1Vn5DEsmr153gsfTvRskoriOoXzGCq8MJMpi8cgqBmlsv0bdq0SZq7XeuHUv+6n1H/2p/RzhAO3/jcJfTytG/RZ7o+SBO2jKWvTPiMTPPV2z8vTd/bf/T/5LLP9PE6hsc0b775Ju3atcuAn8y5ceNmmjZzI5151WJ69pXNNHnyo7Ry5coorSt/G5arPzr+5Ato5qJNNGJ8wfDdOXUdbdmxjw6G6QMAAACSYdXH9PHsW8F8yNsvecEwN9YM3eSOBNNnxVfhdnxDceXQzJGWB/9OcVC4kSh+3LYNQ6fKkSK+Jed2i/K0jR7n5QsPFyEIalrZpo9N17Jly6S527H6p7Rj1U9pO7PyJ7RNwOFTHzuDTp78aZq4ZRxdNvtbdODv3kHn3HMmHTD8bdL0ve2aP5d5cF626VP5M3fffTft2bPHeCKn7ANWb6KpL6ylMQ+voDsmraWV6/9EL81eR7fdcV+U1pW/DcvVH/HTO19ZsoV+9+BSYfhW0p1Pr6N7nttEvTv308GH26ZPM34wfQAAAEAAqy6mzzArQrrpUeFp4rD0cG02K0CYm8lWfF2lbsP4rhk3Dkvatp1HUnxbvu268tflC4cgqOkVZ/q2rfgJbV3+Y+p7jfkR9S77EXWN+0866ZFP09T+x+mCmV+jYx/+Z/rAb95B//S7v6K/vTswfX8x5C1OU2abvttuu4127twpZ+3ULZsbNmykZ154nc798Qr6/AWv0ymDe+iBaX+i712/iH59y6QorSt/G5arP/rq6RfTrKW9dMsjy+UM3z3TN9GYF3qpt59N3zEO0xcC0wcAAAAEsJrb9OmziUrWrJquUrcRLAT52YbOtW09nf09KX6RPNt1fdcVmycEQc0sl+nr6emRpo9N3paea2nLkmtp8+Jrac3sK+n4SUfR07um0EUzj6cvTjlYmr6PTnwPHTj2HdL0ve2mP6dP/exYmYfP9PE65uabb6a+vq20evUaWrNmbcTS19bSMy9toMemb6QrftRFI+5aSlf97D6aNXdRlNaVvw3L1R99/axLae5rW+m2J9bIGb6xwvCNe3mrNH2HwPQBAAAAybDqYvqkgfHcVhkZFOs2RHV7p51XFG7mKfMK48n8DePDeXDcNOUQspZlPJFe3W4pQtzb1tMZeaSI71DRduPyjNrPFx4uQhDUtHKZviVLlkjTt3nxD2nTwh/SxgU/kMsvjD2b/r3rSLrghS/RSc8cVmT6Drj9bfS3V76LHnx2kszDZ/p4HfPL4b+nl17dRo8+u54ee06YPI1HnxWIz5/cMIEuv/IGenLqs1E6Rbmm7xvfvIzmrdhOdz2znsbM6KWul7fR/a9sp77+N2H6AAAAgDSw6mP6hKTRCW9tdBojITZ0UZxB0TplfuxwZeaCdaaxMdIITMMVhvvK4VouMk6ObRvp1HrVDknxWVa7FW03Lk/b6LnCIQhqZtmmr7+/nxYtWiRNHpu99fP+h9bNvUYuTx55Jt30h6/Sp3//fvrS5IMj03fYfQfQe67/Szro6vfRA9MmyvQM52WbPpU/M/h/fk1nX9ND/37hCi/f/J+l9IvfdNGUKU9E6RR2/jYsV390UvsVNH/VTrp3+mYa99JWGi8M34TuHYHpOwKmDwAAAEiEVRvTVwUVGSIIgqDWlsv0LViwQJo8NntrZ19Nq7uvkssP/P40GjPiVHrwjrPo0yPeT5+c+D5p+g649m308+Gflul0fKZPrZ/wwCP0q5seput+86gXXn/vmInU3d1t5M2Ua/pOOXcwLVyzi8a+2Ef3zxSGb9YOwU7q2wXTB0BTsWDhYpry5DTqGv9Q7uB6cf1c9QYgC7Bg+iAIgppDtunjB6vMmzePXrz/PFr45MW0auZVtPKlK6Xpu6Pzy/SbH3yexg3/Ok0adQJ9/Kd/T0fd9/f0rmveSrNeekKm0+G8bNOn8lfMnftqInp8HTt/G5arPzrt/CG0aN0b1DVzG43v3kkTheGbOBumD4CmgweMGzYHJ3vexPXSL9AAZA1WZk0fBEEQZMhl+vh9wHNnv0wzH/kJdT9wDvU88z16ZeI5NPauX9HkyZOD9YLnZ06n42/4Ap30yxOiMB2f6XPFLYdyTd/pHVfSkvW76f5unuHrl4YPpg+AJiTvA0aYPpBlWDB9EARBzSHb9O3YsYPmzJkT0f3c/XLWj2f6pk971FiXBOdlmz47/0qw87dhufqjM757FfVs2CNv6Zw4m01fAEwfAE0GTB8AjYNVDdOX19l6CIKgrMi+e2jIkCG0cuVK+b68WbNmVQTnwXlxnvXK34bl6o/OvCA0fZHh2yUpMn2fOum/JDB9AGQTmD4AGgerUtO3aVMvrdrQBwAAoMbw9VZde6+77joaPnw4rV69Ws6iVQLnwXlxnvXK34blNH0XXk09G/cahi/W9H2qWU1fdye18SOX27u08G7qbBNhbZ3UrcfNK9wGrVLXUkjRLl3tweO627vc67OAbfomdxQeMy7fn9XkKsv0dbUH9Xfu3/D8z/h+Bc0Bq1LTBwAAoDEMGzZMzp7xbZOVwHlwXvXOX4fl6o/OSmX6luqmL6ApTV9bmzm4V0aQw5IG/vU0TPq2qrndUvOqZ50bia+eUXgXtQ9op664uBnAMH3G0/r4BcP2e7GaT2WbPuMPPcWwoYfpA5XCgukDAADQaFjxpq9g+FKavqlNaPo6qbO9jTq7wzAxIGxrF2RtEF8rY1Fqvhk2OFUlqZ76+gy3iWH6+MXM2uwez/o1+2QfTB/IMiyYPgAAAI2GBdPHg3U2ep3dMqyLDWBXGK7Wh5+d4e180a1fxvp2ag9vC2vr7IpuEZP5qnj2dpPSqfjaLWfGDGSa9ByH00k0c6uw8higZq+caa1yyNvkVHxt5kt+D7fl274rXJbF0c6qPAojrYDL4stThKvbMBWFfafq3U6dnW3Ren2fufd5m7GdNr1NxPa67bxUuRuAbvp6RgyiQdrUnr3cjKrU9Pn2FUwfqAYsmD4AAACNhlWZ6TtRmD2m2U2f+mSzoi/rn2JQGA0Cnet1k2OamCiea7tx6VR8PU1J6dmkhWF2Hnq+Wt3kIFgOiD1pjTy0ONIA6sYobvsxebvaWW5LwWldcXzbCpcVxrZUfOtWTf4uPxP2ucpf/+7KS4Y3Bpg+B5Hp8+8rmD5QDVgwfQAAABoNqyLT98kTLxUUjF/Tmj5pGMSATw0GVbj9aadzrXd918N84b7vdhr9e1J6/hTGRc1kBGjGyE6nljXTU5RWzYKG8dXgOJoh5fYT7RjNlvny8IXbZdGXXWFq2bctrqu9TsWP8gmMJK8zZkh927HTJ+XVQGD6HESmz7+vYPpANWDB9AEAAGg0rMpM3wls+i7NgekLZrj4tj050Isb4OvpXOtd3/UwX7jvu51G/56Unj+TZpr0dPqyL60dXxq8zmCGNJwp7RJtGbWjL480edvLcXF8ecrZnND82fHtvAXBraAin7jt2OmT8rLC64lu+vCbvpDI9BXC7H0F0weqAQumDwAAQKNhVWT6Bp1wSW5Mn/yuBn32wN4e1Metd37XbiNjeNCZKl0Y37c+MX0wkxENXjncNiFWmHl7pyOtvh0J160wU2IOnn3bT5l30bYYR9rYuqZs+8gYcj4xs472p77Ol5c+s1pnDNOHp3cGKNMXs69g+kA1YMH01Y4FCxfTlCenUdf4h3IH14vr56o3AI0C51zzwoo3ferl7AHS9B0emr6FyvRps33jHmpi0+cKtz/TrPd81x8YMUAMLtOmK5QrMFfGLFSq9Cod4zAgHDdaLzC260qrlUPGscxW0SyKb/uOcKPcjmU9PEorSKir0fYqvpW3Hie6NdVVFvtTrjfbpCgvlUcDMEyfEN7TJ9COUd++gukD1YAF01c7+Pq2YXPQznkT16us6xsANQTnXPPCcvVHZ154lTB9e2jC7J0GlulbIU3fIDZ9ofEb22ymDzQ/RSYT6NimL2+q1u2dNjB9oBqwYPpqB65vANQXnHPNC8tp+i4Qpm/Dbhrfvd2gr38/HXz40QXTd+w32PQFsPGD6QO1R5/NYxyzlyACF2gHbPr42NFnciOCmWteD9MHKoUF01c7cH0DoL7gnGteWK7+6Izv/jctWf8Gdc3sM+gtNn0XG8YPpg+AbIELNACNgwXTVztwfQOgvuCca15Yrv7o9I4htGjdLhrz4maD3p376KDDjiqYvk/8J5u+i2H6AMgouEAD0DhYFZs++/fFIMK+vrXsb5bV3QveOxgqQM87pKnvguDzyapPmjoFD6nDHSDuMcVk6hjQIf4vyHculhpebyWec847hfgONO2BgQZ895BvXVqqcwcSy9UfnfadwbRobT/dO2ODwZZi03cRHSuNH0wfAFmEL9D40TUAjYGVCdOn55EjE2kMQFv56cTqd8pV37disNkZ/v5ZbIMfdtX0v3d2tVFiu8UN6lsL0/TxeabMmmb6fOdiqeENUCrTFz0ToGDG9Fc+2fETH+iX8ryt9NxjufqjU8//Pi1cs5Pumb6ORmts2bGXDjr0yND09aygf/36RYHx49k+Yfxg+gDIFps29dKqDX25hevnqjcAWYCVOdOXI4wBaCu/h7Rmpk/Bg9vg9/O5NH1Jpi6n5085pJrp852LpYY3QKWZPoXv+KnGLF+Bmpm+864Qpm8HjX5urUGx6fvahaHxC27zhOkDAAAAAlhVM33hZ2d4m5lxqw+vC8PMV+C0U3v0l2iBlg8PYNUta4pmG8zrA9CeEYNokDY9YC83oyozfeFDz9SycYyE4dYx0tbZFc1cRLMTMl3hgWm5n+kz2onrHbajJBzAF8VReai2FPG8cTznsNpfdrgrHxlfW6+f58Y5r5U3aT+nJI3p852LpYY3QlU1fWqWL6n9w+Mi9hovqMdMn06R6Wv76gXS+H0iNH5jH3oKpg8AAAAQsKpq+vRBgArXZmGK45uDzWhQq77r+MIzDExfSJHp40GobhCC29CKjh3+1I+RouNFv30tGKDmwvSF9SmgBuwx51J0bqQ432Lj+M5hvV3V/vPkI+NoYa59KNbJ99Cq48IVx5VfAjB9aU0f7zvNdMe1v/7pPD6C5VqZvlS/6VsgTN/Ar36X2r4mjN/XA+M35kGYPgAAAIBhVdX06QM0a6BgDmLFoKJLi6+ntb/r6fT8mwCYvhDd9Kl9qQ9M9X2uL9vHguu7Rf5m+jTDxev080HiOJeqEUfF4+WiMmnrXfmEps7Iw/4epRfGwxfHjp8CmL6Upk/N8vH3pPa3P1Ue1nKtTF+qp3cu6FlOA//ju4bxg+kDAAAAAlj1MX32X5m19d7v1myQHqdJMAag+E1fsA/lsWDNHNn7Vi3r4b7vFvkzfYKi9tPWMXbbVCOOvmyH6+td+ejoadPkHxc/BWlMn/dcbJnf9GmzfExS+9ufrnSCWpm+VO/pY9P3L//RIY0f3+bJxm/Mg0/C9AEAAAACVs1Nn2uAzwMQPb7zuzVQ4cGMnn8TYAxA8fTO4v0c7V+PCXQeF9Z3i1yavuhcSHEuVS1OGC6XrfjRH2Q8+aj0Rh7F643bO/U4ru8pSWX6WubpnYria6nxW8mk9rc/XekEtTJ9Z15wFfVs2E3ju7cb9BWZvq90CONXmO0bMwmmDwAAAGBYtTd9vMyDDuv2L+d6c+ApB4VROoGefxNgD0B5hiCqS6OmCqqoikyfINi/2vFg72s9vu+7RT5Nn26uks6lKsYxlvX4tgG08lHp7Tzk97bCfjbCE76nJJXpE/Kdi6WG11uVmz79e0hS+9ufrnSCmpm+C4Xp27iHJszeadC360065PBjCqbv41/5TjTbx8bvPpg+AAAAQMKq2PQBL+4BaH5UsulzrXNRanyNpjd9ecY2DTWg5c+5Cs6dSqmV6TvrwquF6dtLE2f3GxSbvi9/Rxg/nu0LjB9MHwAAABDAgumrHTB9ITwQ5RkS74DfnEVyzhglEsyGcXqYvowC01exUpm+2HOtFlTn3GPFm75dBtL0HaFM35LldIw0fd8Jb/PsEKbvCZg+AAAAQMCC6asdLT8ABaDO4JxrXlgVmr7zC8aPTd8DMH0AAAAAw4Lpqx0YgAJQX3DONS+sikzf0cez6Ts/us3zXpg+AAAAQMKC6asdPADdsDlo57yJ6wXTB7IGzrnmhVWh6TsvMn484wfTBwAAAASwYPpqx6ZNvbRqQ19u4fq56g1Ao8A517ywKjJ9R31JmD5GmL9jhPm7d2KDTF/3MBoY/UA5/KEjhw0cFvtDS34STqofRrryd8VrJFYZM1tOAABoEVgwfQAAABoNq0LTd25g/CLTN6UBpo+fSjWQhqknUUnzw+8i8pi+KFx7l4YvrqTE/H2UGr9U7Pxrvb04GrltAADICCyYPgAAAI2GVbbpmy9M35FfZNN3bnSbZ0NMn89gJBkPfX1c3HLztyk1fqkU5e94QWS9qHVdAQCgCWDB9AEAAGg0rKqYPjXbd09DZvq6adjAATRwWLcZHhqPYeEtnNHtjjJ8oHYrpPgu0svvTqPiyj8Ii9LIPNupXYaJT22bTHuXFZ/z4DRRHHsmUYUH8WUdtJdB8m2pvvpG5deW1W2sikI7xJXZjsPb7IrqEW3fKC/XI2Vdre0PGzYwXO+oGwAANCEsmD4AAACNhlWB6Xs9MH2a8auV6eP1NmYczWjopkIsR79rkyZDGTTtU19n5Knjyd8wNZpx03FtT+anxY/WBdtxljmatfPM4Mk4qoxaOV3xojxLiGN/j8rrqEe0nsNj4kTbt261tern2v8AAJAV1LXKhhW3ntexXOsAAACAasFy9UclmT7d+N0z8fGqmz61zpYrroTfll9kPAS62bDX23HjcOVvp+dl3YC54uvrJcIAdTnyCZd5tk6aQd6+NusXYZfBXqdvyy5Pmjiu73YaiVWPNHE0U+2a5YMgCMqyfMYubh0T1/cBAAAA1YLl6o9KMH3nGMav2qavvA4xnDXSTQqjGxX9U18X5RGHI38jPa/3zGzp8X2zdXo59OXQ7HW1a3nr2GkjUpQnbZnt7/yZVI80cTSCW1Ed8QEAIKOwXJ2pL1xRXh8HFAsWLqYpT06jrvEP5Q6uF9fPVW8AACgVlqs/Sm/6vsCmLzB+jTJ93fxbMH3mq8ozfanyN9KHpjAuvus2TpnGc3unTMP5CkMULVsYcXXSlCdFHOd3Tz2MvFPEkWHKdHJ8j7EFAIAMwnJ1pr5wRZo+DvhZiRdFAwBAKliu/qgM0xcwekJjZvrMB5WE5sUwHtqy/SnXh4ZKNz4azvz1NNa2pFGM4gvkOnsbapmxZtmicIGWL5fD+5ATqww6zvKkKbMex/fdWY8UdY3ZPh7kAgBoJliuztQXrkjbxwE3bPryLJg+AEC1YLn6o9JMn6KBpi+38IxbNMvIxsltSgEAADQOlqsz9YUrWr6PqxCYPgAASAfL1R/B9DUMfUZMmxVj84cZMAAAyCQsV2fqC1e0Xh9XXWD6AAAgHSxXfwTTBwAAAKSE5epMfeGKVH1cdye18R8Bjac2d1Nnmwhr64xuka8Kalsh0W+xawFvq8Lym6ZvMnVoZR8wYBCN6AnXdGjhHZODQKFSw+ut1KYv/MNwdY6H8NgS+dV0/wMA6grL1R+VZ/oEMH0AAABaDZarM/WFK1L1cdIctZkGSZmzqpo+vtOkjTqj35fzNmr4k4KamL4O8b+lnhE0aNAICvxfD40YFJrBUsMboJJMn/FHgcqJXhPlWAcAaD5Yrv4Ipg8AAABICcvVmfrCFan6uNAcdbZrhkwM8tvaBdU0fVUwYSVRbdNnmDVNkzuKZvHkYqnhDRBMHwCgWrBc/RFMHwAAAJASlqsz9YUrUvVxyhyx0esMftfdxQawq2CazCdMB4N1GaZMFeeReLtecFuf2kaE3H47tYe3/BlPuQ7zDcLtWcKkcEG1TZ+W96Bweq5nxKDoO0stlxreCJVs+ux95dpvVpy2zq7odk5938P0AZAvWK7+KL3p41c1wPQBAABoYViuztQXrkjVx8lBujBH6pNvwzSWPfHFdx64q0F9ugF84fdckVnj/DTj1t3ZFs4qcVzL0MntxoVr5WCj4ip/CRimj2fojNsygxm6Us2dL7wRKsv0Je03X5xoPwXxYfoAyBcsV39UmunTjB9MHwAAgFaD5epMfeGKVH1cNBhn09ROXcasTjhIl4N3ZdYE0eA9fCK0NGlanmlQpswyA8G2RDnsbUqEgeAZSF+4nY++XAaG6bNUrrnzhTdC5c30hW0at99ccaz4MH0A5AuWqz8qmL5+A2n6DofpAwAAACJYrs7UF65I1cdpg3GereGHusjBeBTueACLPpBn06UN5tPD+VomgVHLMu/wlkGduHBXPnqcEklj+kr+7V4z/6ZPb1Nfe/viWPFh+gDIFyxXf3TmhVcJ07eHJszeaQDTB0CTMXfuXJo4cWJu4fq56g1APWG5OlNfuCJVH2cPzJWhisJDc6biqxk67XbK4DbP+Pe8Fm7bDMP0mT4tf/P2Ts0YRPHShct8NJNRDrrpY5NXMGv8JM8yn9LZzE/vjI4JEebbb3Yc13cBTB8A+YLl6o/OvECYvg27aXz3doO+/v108OFHO0xfCEwfANmCjdGqVavkeZQ3cb24fq56A1BPWK7O1BeuSNXHWYNxV7gc0Ou3U6oHdUQmLrjNMzB+lknU4IF+IZ8wjtxOmzAQYbhRliDfIL422+gL57xUuP0aijKwZ/p4Vi7YZuFBLiw93J7FKyW83qp8ps+x34riOL4LYPoAyBcsV390xnf/m5asf4O6ZvYZ9ML0AdBcsCnK6znEgukDWYDl6kx94Yqm6OMsM5Al4m7vzINKNn16WIX7DaYPgHzBcvVHp3cMoUXrdtGYFzcb9O7cRwcddhRMHwDNAkwfALWH5epMfeGKpujjYPoappJMnz6bx5S934LbcDk/mD4A8gPL1R+d9p3BtGhtP907Y4PBFpg+AJoLmD4Aag/L1Zn6whXo4yoDpg8AANLBcvVHp57/fVq4ZifdM30djdbYsmMvHXTokTB9ADQLtumbMfJSuvTSkJEzjLjNBgumD2QBlqsz9YUr0MdVBkwfAACkg+Xqj0497wph+nbQ6OfWGlimbzlMHwAZxzB9PZNo6NBJ1CPX9dCkoUNpUo8Zv5lgwfSBLMBydaa+cAX6uMpg07dhc9DOeRPXC6YPAFAtWK7+SJ/p08mX6eP73dVTrULqev96ivvt1ZPUyilXJWmrSi3qmZRn2b9lyB+G6Zsx0pjd41m/kTPM+M0EqyzT5/r9SwR+zwJKh+XqTH3hipr2cS3Apk29tGpDX27h+rnqDQAApcJy9Ucpf9OXA9NnDPqsdwvVGp8xicK1x2qXbGIqSVtlalHPpHiNrnOG0E1fz6ShNHRST7TOXm42WGWbPvtJdxZ4ch0oBZarM/WFK2raxwEAAAAhLFd/lPLpnWz6zs2R6fOE1YpSjEup5aokbbWpRT1LybPFgelzANMHqgzL1Zn6whU17eMAAACAEJarP0r1nr4FkekrGL+mN332rBPfAiYJw+RtYeF3Pa783kadXUGeneHtivotYvrLc+ULcsPtF8WV4doLVUW+beHtZq7b0dStkYU8uCxq2ZHWqFf40ly5zfBlvlGdVLi2TbVsxDfT1KqeMn4UV4tjhOv1CdYXt08Ypg36eTl4aXG4rRwB0+dAM31Fx2sYB6YPlALL1Zn6whU17eMAAACAEJarPzrzgquoZ8NuGt+93aCvYPr+Vpq+o790Hh31RcW5dE/Tmz6+xZONg3mrpxwYykGiWi/Cw98FFQxMaIZUmLEN20yK77649qeRTxjXR2Jarfx2fGWYVF5FabVlK36hfWpVT+vWW257GS+mPq589PWRUdXNe/7QTR9+0xcSmT7H8RrGgekDpcBydaa+cEVN+zgAAAAghOXqj868UJi+jXtowuydBn273qRDDj9GN33nS44KuWfiFDr4YzmY6bPXactqMNjVLswGz+zx4FEMIvVZreJ0gWkxZhN8ce1PV1wdXifyVbMV0gz50tpxJWE9XPnb21XLrnA5YK5RPePySKqPHScMjwb12qxPHjFMH57eGRDtc8fxGgLTB0qB5epMfeGKmvZxAAAAQAjL1R+ddeHVwvTtpYmz+w2KTN/Hj/9OxDGCeyc+QYd87JNFGSbh6/hq2iG6DIZuJvR1+rI0eJ3ULpeFSRSfXZ1twQAxLl0IDybl7ZC+uPanvk7FjWCTmjDTZX/XZjMifPnb4WrZF66WBVWtZ1wesfXxtA9/Dwf+0rzbM5w5wjB9ArynT+Aw+tHxqi3D9IG0sFydqS9cUdM+DgAAAAhhufqjgunbZSBN3xHC9P3l37yHFvSsoI9/5QKDex94gj545KeKMkzC1/HVtEO0jYRxC6H+Xb99kZfZSBRmBozBop2nWubPyHxw3tZslB1X/3TlGxHOTKplHszGpjXrJde5jFlETP5aeNQ+MrwW9XTsDxkvqT6e8svlYD8WlvOJbfryBKsi0yePF+t4Df8AANMHSoHl6kx94Yqa9nEAAABACMvVHyWbvne8hxYK09f2tYsN7pv0FH3oqE8XZZiEr+OraYcoB3xs2AoYgzx9vWEMLKOhzxpEZiNcpy1LoxLmF3srqP0p14cGRTcwIXq+UVlj06plJhzk2mXRMPIXg+JC2bSHsGhpa1VPmS7aXlgOIw1TXB9n+4R58sDevq0vb8D0OdDO2aLjNYwD0wdKgeXqTH3hipr2cQAAAEAIy9UfJZq+t7/z72jh0pV07DcuMxj70NP04aM/U5RhEr6ODx1iRjGMWrPCZtFhLnMGTJ8D/Q81HmD6QCmwXJ2pL1yBPg4AAEA9YLn6oxSm7+9p0bJV9KmTrzAY98dn6NCPf7YowyR8HR86xIzS7KaPB/3WzE5egelzEO5/cwZfEczk83qYPpAWlqsz9YUr0McBAACoByxXf5Ro+v7qXYHp+7dThxh0PTyNDvuXzxVlmISv40OHCEBlsClatWqVPI/yJq5XWaYPgCrDcnWmvnAF+jgAAAD1gOXqj1KYvn+gxa+tpuNOv9Lg/snP0uEDP1+UYRK+jg8dIgCVMXfuXGmM8grXz1VvAOoJy9WZ+sIVafq44GFhDhJuUQYlkOLuFbUfqnYHQEbumCmqV1nlqvDnEiVtszV+mgFAtWG5+qNk0/fuwPR99syrDe5/5Dk6ou3fizJMwtfxpekQAQAAgEbCcnWmvnBFaX0cBrsR1TZMvvyicK3tq7XtatehLBz1KqNc/ECsisxwqdtM8btsAIAJy9UfwfQBAAAAKWG5OlNfuKK0Pg6mL6LahikpP319tbZd7TqUg6sMJZerCsdlydvk317jXACgFFiu/gimDwAAAEgJy9WZ+sIVpfVxjsE1D5ajWz71GZt2apcPJBJhRhwBD67tQba+bMQvvLvShMtSyNO4NTAK18vTSZ3abaoyvoyr5a8vu8og81H1CokrsxHfbDffq4WcZdRfTyTyblPb19uPKSqftk2jfI520Wat+HbLqExRGoGzrgltLNb5Xktj7kORT5iHcWwY2/IcC65ZN5kuzb4VRNt0tx1eqwNAdWC5+qPUv+n77BlXGdw/WZg+/KYPAABAC8Fydaa+cEVpfZxt+sx3xsrBMQ++jQE3x9EG3zxAtwf2TLRsxbfjScztBuXiNHHl0eJreUYGR4/vK4PMJww3ypUivoyn0NpRxgkNj6uM9qe+LspPS6Ntz6yPp12icqr9qspmtXG0zVLb2FFXuR07nvY9CvO0q55ewGUwzWSAf9962lkrfyG+v/y+7QIA3LBc/VH6B7kIo6fDpg8PcgEAANBKsFydqS9cUVofpw2AGXsQrg+gVXiaOHa4GHxHszASyzjZaX3hep6ucOO7ZjA4zFWGLle6lPENAuPB8SLToOenL9ufrrh2Gn2Z95cr3MozmrVSs2Yp0qQKd9VVR09n58WfRpsy1rEg8JovowzavlXb0+O4wuWx7i8/TB8ApcFy9UfpTR+e3glApsHTOwGoPSxXZ+oLV5TWx9XL9GnbcGGn9YXrebrC5XJoCGxD5yqDns7+nhTfA5st49ZGtU4t25/6OhXXTmMvpwkPzV5XexnmKC5cLQuiumphRjw7L/5MOhYEfvPl2bd6uext2uFqWWCXH6YPgNJgufqj1KbvM8Lo6XTB9AGQKdgY4T19ANQWlqsz9YUrSuvjLNMXzoI4b/WLBsycRpudUbd32nlF4WaeMq+igb8VJ9pGmvIIrGUZz5jJ8ZRBT2fkkSK+jlyv2oTTWsZExeFl+1Nfp+LqabS2iupvlc+/n4SpiZYddZLr0uSlxZdlsuqqjgUjXyuNY1tyfdGxIFCzk3a4INW+jcrpaDsZ7i5/NDsapgEAxMNy9UcwfQDkBDZFeT2HWDB9IAuwXJ2pL1xRWh9nmz6BHBQHt79FhkENpFUcHpRHcdqidWpAbodHBkRimYQIPY5tDMJwX3lcy0XbcZTBSKfWq/ZIim+i110aEl8Z7U+53t62nka0oyqHnZ8dbuQZmBhj5kpPY6dLyEtfLqqrimPFi74beTnaVU8fxdH3g9YunJedToapPAVqm3ZYGN9dfjaAVvsDAGJhufojmD4AcgJMHwC1h+XqTH3hirr3ccaAHlSVitrWMks2MbNpWYCNWVmzbuXWK+PtAUAWYbn6oxJM31UwfQBkGJg+AGoPy9WZ+sIVde/jYPpqR7ltG87EmrNw+gwb45tlywoJpjWiGvVKuy0AgA7L1R+lf5DLGWz6CsavuUyf68JRxsUkxYU++AFyefefV5LWSz07/lq0T1Ke9axfxrFN34yRl9Kll4aMnGHEbTZYZZk+dbub8xgJfnNS9XMO5BqWqzP1hStq28cBAAAAASxXfwTTZ4Ql4DMYUbiWZ8lmpJK0MdTTFNWifZLi1bN+GccwfT2TaOjQSdQj1/XQpKFDaVKPGb+ZYJVt+hJuDcJDAkApsFydqS9cUds+DgAAQCWMGDGCrrzySrr88ssrgvPgvFzbqBcsV38E02eEJVCKASnVjFSSNo5q5pVE0rbKqWMpebY4humbMdKY3eNZv5EzzPjNBAumD2QBlqsz9YUr0vRxCxYupilPTqOu8Q8BAACoEXyd5eutuvZ2Xncd3XjjjbR+/Xrav39/RXAenBfnqV/f6wnL1R+lNn2fO/Nq+twZV9NnQ/jl7EfkwfRJ09BO7eFtXva7YYIw86lfneEtitFtYTJce5LXAH46WvjdYUjULY6FPLgsatmRlvPX1heeVqbKbdXNiC9w5hOmkbe/qfR6O/F3sa3w8dZFdRZxatU+6cqvt0OwvrhdwzBt0M/LRU81ywm66euZNJSGTuqJ1tnLzQarUtPne7IdTB8oBZarM/WFK9L0cStXbaQNm4O8IAiCoNqIr7M9r6+Nrr1DhgyhjRs30t69e2n79u0VwXlwXpynfn2vJyxXf5Ro+v763f9AS15bQ/9+9v9EfF4w/tHpdMS//ntRhkn4Or40HWL5JJg+ZSBEuBwYykGilkbGUXG1AaIyHPanvk5uK4bEtOb7aoz4WrkLWO/G4UGvzMsML9RTy18awDCOsR1HnWvWPnHl97SDKx99vSqn8zjIDzB9DiLT5zhewzgwfaAUWK7O1BeuSNPHsemDIAiCai/d9PFtmTxLx6ZtzqNX04vjzqZXxn+L5kxqp/l/PIcWPHyuwaJHzqPFUy6hdT1PFJk+hvPiPPXrez1hufqjgunrN5Cm73Bh+v7mgH+kJaJhvtT+Y4OJj82gj37ii0UZJuHr+NJ0iOXjGuyHYbZpiAaEgfkwZgVccXXjoa+34+rwOpGvmnWQpsaX1o4rEebHfsGswt6uWvaFi+9q0NvVHubLg2QxWNZn74rT1ah94vJIagc7ThgeDeojAxDmnTNg+hxE+9xxvIbA9IFSYLk6U1+4Ik0fB9MHQRBUH9mmb9++fbRt2zZp+Kj/etq4+Cpa8sxFcnnJ9B9R7+qxItXMiDe2PUrzH7lIprHhvLJo+s688Cph+vbQhNk7DSLT946//WfqWbGOvvbdYQaTnniJjvrkl4syTMLX8aXpEMvHmiVidDPhMhlqWcCDQnkLpC+uKy9HPgFsNhNmrOzvRYbVihMXrpZ94fxdGrxOapfLonzis6szfBdPXLqQqrZPXB6x7eBpV/4eDvylqdWPgZyhmz78pi/EYfSj41VbhukDaWG5OlNfuCJNHwfTB0EQVB+5TB9/Z5P35s7/pTd3BOzpHUYbFl4VmMHXbyBaHtLXRQ8+cCIdds8BdO0z34/yYjJr+i4Qpm/Dbhrfvd2gr38/HXz40TTgXX/3Plq2cgOddvmNBpOfnkX/ctzXizJMwtfxpekQK6FoYKcGg5aZiG57lOHKJISm0Z5dU8bC/tTXqbgR1qwjlyM2bTBDEZWd17kMVoQZX9ZHxnOER4NhLlNhBsQYFNvbUcuyHLVon3TlL24HT7vK5aB+heV8Ypg+PL0zwDjPreM1/AMATB8oBZarM/WFK9L0cU7TN7lDXI8H0YiecFlocgdfox10TA5jaOoZQYO0ODIKhw0aQVqWRVLbcGVZllJsE4IgqF5ymb6+vj5p7vZvu06ybyvTKeHwPbOvoDdfHSwu9kMkD4w/gQ654130T7f9NZ045ksyPZNV03fGd/+blqx/g7pm9hn0KtN3wD8eSMvXbKLzrr3VYMrz82jQF08uyjAJX8eXpkOsjMA0RJ2jMgDSNGgPGdGMgTQcYXjsrY72p1wfGg3diITo+UbbjE2rlplwsGqXRYfXRXnzQ1PCeEa4ntYyVPrsiL0dbblW7WOWUyt/Qjs42zXMkwf29m19ecMwfQK8p0+gHctFx2sYB6YPlALL1Zn6whVp+jiX6WPz1dHRQYN01xdpMnUM6BD/+8TrNcMoDaCI7zNgUbiWb7XMGkwfBEEZkm36+AEsW7ZskeZub2+nnOHbs6UAh/fPvJx2z7oiMn3dE75FUxZNpr+/5e30rt+9lX766A9kHpxXFk3f6R1DaNG6XTTmxc0GvTv30UGHHUUD/u69h9Cq9X30vV9OMHjmlR467qtnFWWYhK/jS9Mh1gTDiIB8wmbRYS5zhm368gSrUtPnA6YPlALL1Zn6whVp+rhi09dDIwax+RImzGmYEkxfornzSF8P0wdBUA7lMn2bN2+W5m73pp/TGxtDNvycdgk4fOuLl1H/K5fTwpnn0VfHH0FfG32ETHPmhBPprbf9Ob2/8z1yOaum77TvDKZFa/vp3hkbDLYo0/dPB36Y1m7eTj+57SmDF+atpC+dfG5Rhkn4Or40HWJNgOnLNzzot2Z28gpMn4Nw/5sz24rC7D9MH0gLy9WZ+sIVafq4ItPHRim4H1OYP/MWz0BJM32cbkDxLGFowEZot4kWbvscpN0OKr6L9PK7bdg4btEsYrgsv6s8wrQy7w5hXlV4odw9IwZFcd0zmhAEQdWVy/Rt2rRJmrtd64dS/7qfUf/an9HOEA7f+Nwl9PK0b9Fnuj5IE7aMpa9M+IxM89XbPy9N39t/9P/kclZN36nnf58WrtlJ90xfR6M1tuzYSwcdeiQNeN8hR9CGvn4aPqHboLtnA33trAuLMkzC1/Gl6RABAH5g+gCoPSxXZ+oLV6Tp42zTx2ZI/aaOvxcboiTTxwqMX2CqTFMW/V5PGjJlzLRPfZ2MaIpvPVVlksYtMqievLVtFuJbt5Im1geCIKhy2aZv165dtGzZMmnudqz+Ke1Y9VPazqz8CW0TcPjUx86gkyd/miZuGUeXzf4WHfi7d9A595xJBwx/mzR9b7vmz2UenFcmTd95VwjTt4NGP7fWIDJ9H/jwx2jTtt00ckqPwasreumkcy4ryjAJX8eXpkMEAPiB6QOg9rBcnakvXJGmjzNNn27WQorMV7Hpix7yErkuTfxQGNvUsXRjZq+34+qK1mkzkXZ8V54sXpZlL9QTs3wQBNVLcaZv24qf0NblP6a+15gfUe+yH1HXuP+kkx75NE3tf5wumPk1Ovbhf6YP/OYd9E+/+yv627sD0/cXQ96SbdOXNNPH93jywujn1hiwU+R7Q+0Mk/B1fGk6RACAHzZFq1atkudR3sT1gukDWYDl6kx94Yo0fZxh+tgUGcZNM1aR0sz06QrjJxkzfb0d11BYpskx8V15shz5BoYVM30QBNVeLtPX09MjTR+bvC0919KWJdfS5sXX0prZV9Lxk46ip3dNoYtmHk9fnHKwNH0fnfgeOnDsO6Tpe9tNf06f+tmxMo+smr7E3/TxIzx7+/dR18tbBJsjlqzfRWdecGVRhkn4Or40HSIAwM/cuXOlMcorXD9XvQGoJyxXZ+oLV6Tp43TT57qdszgs3vQVbqEMVe2ZPiG5DWOWLpi5izar56mVNSqbDFdm1mVsIQiCqi+X6VuyZIk0fZsX/5A2LfwhbVzwA7n8wtiz6d+7jqQLXvgSnfTMYUWm74Db30Z/e+W76MFnJ8k8smr6Ep/eecgRx1Dfrv00cdY2wVbJBAG/3O+si64uyjAJX8eXpkMEAAAAGgnL1Zn6whVp+jjd9BmvWlCyjFOamb7odk9JGNc2crox0z/lSt6GPgNnbVOWySqrDNO2G5k+KyyKHhhHBrd4QhBUD9mmr7+/nxYtWiRNHpu99fP+h9bNvUYuTx55Jt30h6/Sp3//fvrS5IMj03fYfQfQe67/Szro6vfRA9MmyvQM55VF05f4nr4PfoRN35s06dUdNGkus50eECzdtJvOvviaogyT8HV8aTpEAAAAoJGwXJ2pL1yRpo+zH+SSC/Hsouv3hRAEQQ2Uy/QtWLBAmjw2e2tnX02ru6+Syw/8/jQaM+JUevCOs+jTI95Pn5z4Pmn6Drj2bfTz4Z+W6XSyavrOvOAqOWk3vnu7QV/B9H2ctgrT9+C8nfTgq4wwfoKlm/bQNy+B6QMAANA6sFydqS9ckaaPy4fpUzODCtyuCUFQ9mSbvp07d9K8efPoxfvPo4VPXkyrZl5FK1+6Upq+Ozq/TL/5wedp3PCv06RRJ9DHf/r3dNR9f0/vuuatNOulJ2Q6Hc4rk6bvQmH6Nu6hCbN3GvDk3iGHHwPTBwAAAChYrs7UF65I08flcqYPgiAog3KZPn52wNzZL9PMR35C3Q+cQz3PfI9emXgOjb3rVzR58uRgveD5mdPp+Bu+QCf98oQoTCerpu+sC68Wpm8vTZzdb1Bk+h6a168Zv520DKYPgJZjU+9W2rhlG22oApwPs8li4xbeTnE4AFlg974/0dzX1qYOV/A6juNap3htxSYZJ4k9gn37/0R/+tOfZL8JQRAElSbb9O3YsYPmzJkT0f3c/XLWj2f6pk971FiXBOeVbdO3y0CaviMs06cbP5g+AFoLNmKbBVu3bqNt2yqD89jSt416BcXrthaFAZAV2GctWrEudbiC13Ec1zrF6jWb5B9COF4S+94UCOMHQRAElaYNm7capm/IkCG0cuVK2rx5M82aNasiOA/Oi/NU+dcbFkwfADlmwcLFNOXJadQ1/qGaMG7iYzTpoepy/wPFYQ88+Cg9+Ecz7Olpz9OixT3OegNQT3h2beGKwmAhKVzB6ziOa51i8+Y+Wr1xa2peX7eVVm3oAwAAUCKbNvVG197rrruOhg8fTqtXr5azdJXAeXBenKd+fa8nrOqZPgFMHwDZYuWqjfKvV7XSG3vdMw6VsHsffwa3qSnefFOsENLD+JbPZSvWOesNQD3h47FWpq8ktgW3hDrXAQAAKIlhw4bJ2Tm+LbMSOA/Oy7WNesGqzPS9KkyfhjR9eGUDAJmBTV8t1UjTx8D0gSzAxyJMHwAAgKzCijd9/AAXmD4AmhaYPgBqDx+LMH0AAACyCqtM03eMNH3qqZ0KNn14OTsA2aFepo89WTXgvHymT6wqCl+2YiWtXrqUlmqsWFe4J7912STaZQWt2+JaVwZb1tMKb35V3lYTwsciTB8AAICswirP9In/ikzf3CYzfd2d1MYviW3v0sK7qbNNhLV1UrceN0twubNcPouu9uBlvO1d7vV1I0W7ZaasVcQ2fZM7gjpKOiaHoeUr0fSJ/3bu3E1btuykvr5+2rVrjwwz4mhwXqWbvhINx6RL6IADDqADvjCC5rjWG+iGZg4N/8IlNMkVT+WpcckkR7y6UU8jBtPHx2ImTN9WmD4AAADFsJJNX8H4RaaP/+MFfiF7xNzg5exnX3x1UYZJNMz0tbWZRkAZQQ7LqrmqRrn0PGpazy5qH9BOXfy90e3p234UnqGyVhHD9PWMoEGDRlBPsEAjBg2iEcFC2YozffvFf2z2duzYQ2+8sZ/27n2T9uzZT9u3vyHX6XEVnFcppm/p8jJN3yWT3OuK0AyNSPeFEXMccYQZHBHmF8Z54BKYvlaCj8WFyz2mzxGu2Ldvf+z60oHpAwAAUAx7qv379xeFF5u+wPgVmz5h9HSk6buomUxfJ3W2t1FndxjW1U5t7YIsD/irYUjqZWr07TTaSCVtP0tlrSKG6ZvcYczu8axfpZN9caZvZ/9u2rbtDerv3ytM3z4xwH1T8Cf5nde50nBecabvTf6uEWv65C2J6rbP1bRRhguDcus36S/Pu8dxO2gvrVtRuE109UY2M2r5SfrBsd+lB+LyXfoMDT22jX7w5GrqskzfxtUqvmD1pjDcNkv6sl0WX5gvPMxrY6GshXqG69atjtIYt8R666eVVYuzYt1677qi9L5tNjl8LLrMmy9cRxm/qrBinXzhO/edAAAAgMJl+JiWMn3dbPQ6u2VYFxvArjBcrQ8/O8Nb/9Lc/qduEyyOz7NJJYTztqPw0JzqhsS7vp3a+TbVAeKzqCzhLay8rNezKD9z1iup/sV11uvEM6rh9xLKLrev4qp0+rIR30zT3dkWhg0I9m+YpqgeMlyULwxzlrWJ0U1fz4hBNEib2rOXy1Gc6evt3SlN344du2nnzj20W7i53bv3065d+2jzlh3ONJxX6aZPGYwAw/QoI7JxdWgyRPitpwe3dc8ZQV84rp1OP+b/o78+4AD6wvX3CGP31/Ru/h7N6IX5TFCzfJto+g/a6C/feUAQ7/rpQb5zrqdjBxxDP34hMDL+mT69XFYZ9WVR3oI5DHGFhYav2EBxXqI9VqynLbzMaQ0DJtapvIrWedrNKHfBdG5Zt0Kk99TJSO/bZvPjM3e+cBv9mK4E8U+cP3ymQBAEQVBBrr6HaS3Tpz7ZeOnL+qcyCHo6Oz8fUfzAbJlGj81OXHhohvR8jPw865WJkvlpFOWhhVnlk6aJB8YyvxLrH7sdjlNi2Y202rIVPyqzbEPNtPJ3+emoh/2pr+PvTU5DTV9fv/wdHxu/7dt3y9s8d+7cKw3gFmEIXWmCQWuppk8zGQpjtilEGg5hPnim78JJgek74Dga+qRI3y2+v/PT9OMnhYF64Zf0hS+MoNkyLzYrz1Dn5y8JZ/nG0NkDTqdbOb8nf0DH8PfVM2n4F/6a/r8Bb5Fm0Hl7pzQ5qiweg6Qvh+U3zJw3zGWeYvJOsV1nu+lxlJksJ72zfM0NH4uVmL7qgds7AQAApMdt+sT4rcj06b/pEzTfb/p4YM8GRJiCrvaCyfGZASOdlpcNx5GzRtqMkS9dXLieh0QYHH0mMm69Lx+7LOq7HpYmXC3r4Wm244orcZRdYW9TLbvCpdkLDCznq2ZxE/PQ19txm5hGmj5+aMvmzTuk8du6dVdg/nbslt/7+YEujjScF5s+3dhJxEqxqig83vR5zJBu+r5wPU3n9Gz6QqO35YUf0zHH/ICmqxlDEf9Tvwxn/ra8QD9WM4PG7/tME8Om72Jl+oyy8MycipdshIJZNP1WTissrp7evGPWpcmP48SavlLL0/zwsQjTBwAAoNlINH3q6Z38bj79CZ5N9/TOcGDPM0R8i5+cBYozA1a6ojwlaqYuXPblo4gL129x1MNVfnHr5XKKsrjC0oSrZUkJ21HfE8seE66WfeFqWRDcdiq2lZSHvt6RT7Oim756/6aPjRobPDZ+PLPX29svb/nkMF5nxA3hvLymT8Yxw/2/6WNT4bntMcH0cfjnPv1jekamnUlDj/kmjTHMSpAvG7t3HxDOAFomxjB9PMunTJI0RSpecGtmZOjkbGBxXdjk2fUohMXd3qnnpS8nrUvKL4jjv72z1PI0P3wswvQBAABoNpJNX/ievofmCdMnaW7TJ78rE2KbANsA2MtFaLcWMjyDKOObt08WjFLKcFXGaPtJ61VejrLocTz5Gbd3Rvnp8cNlSSnb4Thpyq4Tk78Wbt6Sqkwob0t8d82Aqjz0T32ditvEGKavzk/vDPgT7RKRtm4VFxDBrl17vYaP4bzKNX19or4GwmAtFwZEv82wj81GaPr6bNN33FB6kuPxbZvHDKWXOY9Jl9Bnhj5ZSM9pwttA5cNdjjmGfjA9zFcrhzJ9QVm0B62sWE2rw5k+uU6/7XO1WKfyMG4HDWbOnGGSwGipdWzG7PKYy3HrBL520+NoZVmuPcgldfqi5eaGj0U2d2nDawVMHwAAgFJIYfo+Lk3fH+ftEsaP6Zezfss27aVvNqPpc4W7zIC+Xi5bZiREmg95y2KIEb8Qbhq9pPDQxBRtP269rywqnWW0+LsRrzi/ouUQ53aMuNo2jWXGXXZv/sLEyXgyvvYQFi2tHl9/kEtRPexPud4ua/NimD6hur+nr0Q4L5fp41c88Do7fOnydc7BbyzCyL37EmX6gtk99/dJdHE4k6ennz38i/IhLvJBLsPnGOsUpukDeYePRZg+AAAAzUZJpi8wfsL0CZrK9IHmxzZyoAjb9FVbTW36XOuqBExfa8HHIkwfAACAZiOd6XtDmL75wvRpLNssTN8lMH2gTsD0JQLT54BNH8/UqZm9qjKHhn8hmAWE6Wsd+Fhc4DF9rvBaAdMHAACgFGD6AMgJMH0A1B4+FmH6AAAANBswfQDkhJqbPmnQqgtMH2g2+FislekLnhLroOgW5W2STb31MX3dwwYWfh8sKPwWvQnpHkYDuR7yPa8qvJuGDRRhA4dl924SLneWy2cRPE07A8dKinbLTFkBqDFlm77XYPoAyBRs+jZs3irPo1poz/4/0d79gVkT49uK4Dz2vSkQ+RWvE6ZPbE8P27BlGy1bsV7Ukwe5ADQOPh4XrliXOrw8JtElB1xKk5zrAsO3pY9xXwuqiTR8xqA5ePhVXQfI1TQ8Mq+BZn7KCHJYVs1VNcql51HTevIxEj4crdHt6dt+FJ6hsgJQY2D6AMgJmzb10qoNfTVjteD1dVvptbVbaVkV4Hw4P5vX1gXbsVkrts+3swHQSHbv+xPNfW1t6vDymEQd77yEupzrBL3C8PW6rwPVhWfABtIw9V7WRlHNwXiY17B2rV5d7TSwXZDlAX812qBepkbfTr226SNp+1kqKwA1Rpq+DXto4qydBn39wvQdDtMHAAAARLC4v0obXh7a7IOCB6Q8GyXRZybaqZ1vTeQwI46AB7D2QFZfNuI7zJ2d1sZIb86WDAtvmWPkrKCMq21DXzby0cKiuoXElduIz2VxtKFKy/mw0RvWLcO62AB2heFqffhZVA87Pw11m2Bx/GB2NHW4t37p699eVJbwFlZe1utZlF/CfpTlLlBcZ71OPKMafi+h7NE+08uoLxvxzTT6rchy/4ZpnMcjz/iGYc6yApAzzrzwKmn6JszaYVBs+hbA9AEAAGhtWJWYPo5jUxzPNizBgF0NuuXAln+TxgNXNXC2Z+WEqYk3fVZ8O54vLCKuTJpB0PJgg6CMVhTfVw6Zj24KVDlSxJfxPOjxZZ6irfVlIz93PYrydBHFN9sp2LdczrhwT/2i/Eqsf1EeWlgZ+9HIWyd2OxynxLIbabVlK37hWNLOGxlHfJefjnrYn/o6/q7hOmcByDL68atz5gXC9K3fTeNf2WbQ17+fDj78aN30vWEYP5g+AAAArQbL1an6wnVUP2erOK5l+uzBaJoBqyuOHc6zGgbWwNtOqxOXryvc+K4N/jnMVQ418+bKIyl+HEYZRBuzOVYmh8Ptz6J0Wl42HEcvlysfPa4vXM9DotUvab0vH7ss6rseliZcLevhabbjiiuJ2Xf2NtWyK1yeL4GB5XzVHxcS89DX23FDIKjZ5OuLzvjuf9OS9W9Q18u9Br1u0xcaPwFMHwAAgFaD5epQfeGK0vq4epk+bRtOrJkZnVK3J5fD/GxD5yqHns7+nhQ/Di0ezxDxLX5yFkiF25+OdEV5StRMXbjsy0cRFx5Xv6T1cjlFWVxhacLVsqSE7ajvpew7O1wt+8LVsiC47VRsKykPfb0jHwCaEZarPzq9YwgtWttPY17YZNC7cx8ddNhRLtMXANMHAACg1WC5OlNfuKK0Ps4yfeEMhvMWvGiQag3A1e2ddl5RuJmnzMsxIJfbMgbCnB+nS1MmgbUs4+kzMb5y6OmMPFLEj8POV9VZhdufrnROUrZztJ9ShqsyRttPU39PWfQ4nvzS7seAUrbDcdKUXScmfy3cKHN0DvC2xHfXDKjKQ//U16m4ADQpLFd/dNp3BtPCNTvp3ufXG2zZuRemDwAAANBhuTpTX7iitD7OGuwyckAb3hLnG6TyoDiKU3gtgTJadniwnTBcN4wWRnqBOWgPw31lci0XbctRDiOdWq/aJCm+imO1IVMUzwq3P+31ctmdt91OUZsY5dXaL1V4XHv41vvKotKJsuvx+bsRrzi/ouUQ53aMuNo2jWXGt+8KOI9dGV98j8ILafX4+oNciuphf8r1dlkBaE5Yrv7o1PO/TwtX76DRz6012LJDmL5Dj6yf6du/f39shwkAAAA0Gu6nuL+yw1lxfZiv76sZ9mAXgLyAYxuAWFiu/ujU866gBau3093TVktGP7tGksL07auq6WOU8QMAAACyiMvwMSxe71rH8DqWa11NwMAY5BUc2wDEwnL1R6ew6Vu1ne56ZrXk7mlrJGz6Dqy36WMgCIIgKKty9VsMK1OmDwAAQEvCcpq+c79P81ftoDufXiO565m1ks2NMn0AAABAs8GC6QMAANBoWK7+6ORzhOlbuYNuf3JNwFOMMH3bhen7sGb6HhZGTwHTBwAAABRgwfQBAABoNCxXf3Ri+/fp1eU7aORjawSrAx5fQ5u27aUPfCgyfX+ihxfuFsD0AQAAADYsmD4AAACNhuXqj/7z7Cto9rJt9LsHVxps3LqH3v9BmD4AAAAgERZMHwAAgEbDcvVHXz39cnpl8Vb65djX6ZdjCqzv3UPvPfhjMH0AAABAEiyYPgAAAI2G5eqPvnzKZfTS/D4adsdS+vntPRFrN++mfzrwo7bpKxg/mD4AAAAggAXTV30WLFxMU56cRl3jH8odXC+un6veADQKnHPND8vVH33ppP+iF17tpZ+MXEw/viXgR7csojWb3qB/fP9HXKYvoGGmj9/PMmAADQhp73LEqZSu9ih/Cd4HAwAAIAYWTF/1WblqI23YHLRv3sT16nl9rbPeADQKnHPNDyvO9AVmT3DzIrr2D8L0bUwyfVsaYfq6qH3AQBrWHS5LA9hOXaW+qDMuvjR8Ik87DMYPAACABxZMX/XhAWieBdMHsgbOueaH5eqP+PbOF+f30dDbe+hnt/bQT0ctoZ+OXEJreabvA87bOxto+nxmrWqmr5uGDdRMJQAAAJACFkxf9cEAFID6gnOu+WG5+qOvnvE9emXRNvrFfa/TDfe+Ttff8zr97+jXaN2W3fTP7t/0NdD0SVM2gAYO6y4K02/D7GrXbs0UyFtApdFrp3YVV4sf5ZXGPHKcKO+CQUzepjV7CAAAIDewYPqqDwagANQXnHPND8vVH33jm9+nOct20O8eXE2/nSR4YBX9ZuIq2tC3h953SNErG2pv+ni9jRlHM3nKdMWZNbVOmrWE+Ha4/ts+GW7NBCblo29TW++qIwAAgOyjX8t1WHHreR3Lta4I2fe0UafVd1QD9QfKcn8P393ZVugXS82nu5Pa2jrdfbUHewA6uaOw7QEdk8PQ5lXqAagaj5TYfjxm6mzz/NFZH+OE1OQ5CfUgw+dMAP88ydwPFZ1LAmOyob0rCq80X5xzIU18zrFc/dHJ5wyheSv76dYnNtCoKQEjH18fvpz9qPqaPrXOliuuhBtPmSvdfEmzpTWqHceOr6eLC7fzlWhGUg+3t6kBQRAENad8xi5uHRPX99nwYK69vZ3aOvW7WqpB8cCzFORg0hgAcX4lDFoqNX09I2jQoBHUEyzQiEGDaESw0LQqaQCqDexTI9K5jyMxMO0M8wvjyOOuBgPQepDVcyYwAGpsWMin0nNJpo+Oh2AbnLbic1SAcy6kic85lqs/Ou38K2nhmjdo9LO9dPezW+juaQGbd+yjAw89un6mr5QOsUB4MhrmisMcs3F6HI8Z4x3i/E2fnofz5E+xTQAAAE0Py9WZ+sIV6fs49Vdi0a+U/BfmBMowXQW4XClnUnyDnkpN3+QOY6aBZyCafeKhtgNQdSy51ikK+7V5TV9WzxmdcLwqv1fhXLJgs9cmDEXqfGPAORfSxOccy9Ufnd5xFS1et5vGvriVxrxQoHfnfjrosIyZvu5hA80dwDukyFzpJ5YnTpwZ4/iGseP8wpk7saP41tJoB3E+Mm6KbQIAAGh6WK7O1BeuSNPHSXiQKfs5e2AY9kUhhYGCL9xGjxf2V7wtV5gYtLTL2QmtXytx8CtnHOzb7coYQOsD0J4Rg2iQNs1gLzejSh6AGvtnQDjQV98tcyDSqLBgf1jx5P4v7KOmNX1cjyyeMwaclx6/wnPJgOst6tFZWr4+cM6FNPE5x3L1R2decDUtWb+H7n9le8DMgN7+/XTw4ccUTN/kRbtpcoNNH8MNpBqxcHKpEzNYluYwiiMoMmBm/KLt8I6O0g+kYV2utOG6cMclbxMAAECzw3J1pr5wRdo+jgcKahDA34PBQjioMwatPHDwhatlC2OwaaaVAxQ1wHHlUeJANSDYRvTH2jLywAA0RB+Aqv1jfzfaltteHyNphkN+D/dNOGbh46xZTV9mzxkDax9Uei5pyHJwfmXlWwzOuZAmPudYrv7orAuvpp4Ne2jCrJ2CHRF9/W/SIabp22MYv2zc3gkAAADUD5arM/WFK9L1ceagQBI3mPOF+9Dj22nVcpnbiv4g6xiU8uBJDmwS8nCBAWiIPgBVbej7HsaPZhe046oQVkxzmr4MnzMG6U1fqnMpXI4MHy+nKkcyOOdCmvicY7n6I9P0FZCm7wiYPgAAACCC5epMfeGKVH0cDyKMgR4PHNqos8szmCt1kBc3YFHL3jzDssTOZtiEAx9Vp1LLK9AHoPh9UdoBKLe7mnEwCQyFf13TmT6ud2bPGR3N9FXjXBIYhi+KU2q+xeCcC2nic47l6o/KMn0MTB8AAIBWg+XqTH3hijR9XOHWNDss+A1JYXCgbkkLBoLF4WrZomiQUkgrB5D2AMeieJDJ23MPWmRcuywxefswBqB4kqB/0Kl/N2YcwnXRvvAbg2Y0fVk/ZwrwdgoD/4rPJT4eHEailHx94JwLaeJzjuXqj0o0faHxE7wO0wcAAKDFYLk6U1+4IrmP8ww+5eCBB3fB4E3dwmYOWn3h1qBQH6SoZZXWNZBxEAxAXdvTsAdACn17Ch5U2fE0jAGoUEu/MyzVANSx3wX6fnPuG0Hzmb7mOGcCivOu5FwKZo9MVLxU+caAcy6kic85lqs/KsP0BcYPpg8AAECrwXJ1pr5wBfq48rAHoHlTyQNQ17oq0YwzfaD64JwLaeJzjuXqj2D6AAAAgJSwXJ2pL1yBPq48MAAN4QEozxokziiVQ3DbIucP0wdwzoU08TnHcvVHMH0AAABASliuztQXrkAfVx4YgAJQX3DONT8sV39UpunbA9MHAACg5WC5OlNfuAJ9XHlgAApAfcE51/ywXP0RTB8AOWHBwsU05clp1DX+odzB9eL6ueoNQD1huTpTX7gCfVx58AB0w+agffMmrhdMH8gaOOeaH5arP4LpAyAn4EINQO1huTpTX7gCfVx5bNrUS6s29OUWrp+r3gA0CpxzzQ/L1R/B9AGQE3BLBgC1h+XqTH3hCvRxAAAA6gHL1R/B9AGQE2D6AKg9LFdn6gtXoI8DAABQD1iu/ujMC6+invW7aXz3doO+/v10yOEwfQA0DTB9ANQelqsz9YUr0McBAACoByxXf3TGBVfRkvVvUNfMrQa9wvQdfPjR+TB9/PJD+a4Nmxq/dBGAemKbvskd2rHeMTkMbV6lNn3Gu3XCd+E437ODd1OB0mG5OlNfuKKWfRwAAACgYLn6o9M7/psWr+unsS9uNujduY8OPiwnpq9AF7UPaKcu5zoAmhvD9PWMoEGDRlBPsEAjBg2iEcFC06ok0xf+Qae7sy0wdCKsrbNbhLHRa6PO7kJ8/qMQTB9IC8vVmfrCFfXp4wAAALQ6LFd/dNp3BtPCNTvonulrBesituzYSwcddlRg+rbB9AGQeQzTN7nDmN3jWb9mn+wrx/RFs3lqpk+ssw0eTB8oBZarM/WFK/bv3x+7HgAAAKgG3Ndwn2OHn3Le92j+qm1059MrDDZv30MHHvqxFjB93Z3Upm6BU+s4rE0MDuWtXyLMiCPgAaSMo90ypi8b8c1ZhUJcX/6F+DxLobYZzFKEae24Rn5mHkF8LZ6dVpUJND266esZMYgGaVN79nIzqjzTpyMMYHvxbZ4wfaAUWC7z5gvXUcYPAAAAqBUuw8ecdM5lNG9FH906ZWlIj/zctH03feDDHy2YvkdyafqCWQA14JMmiweLulGybwfjAWWs6bPi2/FUmC//KL5WVhmfv3viGvkFg1hlEqM6pSkXaGpg+kJ8ps8xy8fA9IFSYHF/lTbcBoIgCIJqKVffw5z47Utp7utb6JZHFxps2vYGfeBDH9FM3+K9hvHLhemzjY9uolR4mjh2eDSb5plV09N647NJC5bds3xa3C4tPyN/zeilKRdoamD6Qpymj88F/Q8+BWD6QCmwKjF9AAAAQCM48duXCNO3mW55ZAHdrFFk+h5l06cZP5i+mHBjNtGBnjZFfB6UFm4DdcTV85OEZk83g2nKBZoa/KYvxGX6RFjhQS7ifNLOF5g+UAosmD4AAADNxkntl9Kry7fQqMcWSUaGBKZP3d65W5i+JTk0feEA0Hl7ZzQo5DTajBgPKOU6K68o3MzTabaM/D3x5afabmjiwtk/Z1xtEMuo3wNGs4RpygWaGsP04emdhWXtWOfzQp4DkQmE6QOlwYLpAwAA0GycfO5lNH9lH93+1DKDzdt304EfVg9y0U1faPxy+SAXZZxsE8WDyChOW7ROGSs7PNhOGO66hbLIpLnj6/kXzJsjblF+YVjRthPKBZoaw/QJtfR7+ly/6ZMEf/zATB8oFxZMHwAAgGbj1POvoIVrttPo51YZbNmxhw469EjT9EW3eAqa0/RVAZfBAiAD2KYvb6qO6SsGpg+UAgumDwAAQLNxescQWrR2J415Yb1B7869dHD0nj5l+kKk6euF6XOuB6BBwPSFqJn5xPM0nPUTcWH6QFpYMH0AAACajTMvuJKWrN9F97+yJaRX0tu/nw45/Gi36eMZv9d797em6QMgo8D0AVB7WDB9AAAAmo2zLryKejbupomztxn07RKm74hjYPoAaBZg+gCoPSyYPgAAAM3GWRddTUuF6Xtgzg56YO4OmhTSt+tN+iBMHwDNA5u+DZuDwWfexPWC6QNZgFUz09c9jAaqhy+FNPzWYy7TwGGxt0oHrxWKKWuKPAAAANSWsy++hpZu2kOTXu2nB+cV2MqmT/g9t+kTwPQBkC02beqlVRv6cgvXz1VvAOoJq6amTzdHWTBLvjJE4dpTsRPjWuEAAADqhpzp27RbmL6d9KBm/GD6AAAAAAtW3UyfbqgaRZJh09fD9AEAQGZh08e/6Zs0Z4cwfcL4wfQBAAAAblh1M322oYpu+wyNoHxSrTKFukHk7wNpmHyPq55OCxvYTu0DtbxCuocNDOMOoIHDuqMyDAtv4WTkbZwyfKCR90CZn8A2eGEe3noIirbrCTPTh/XxxQUAABChHuTCv+mbNJdNX2D8YPoAAAAAC1Ylpo/j2ETrDUOjm5puGiYMlfrNnDQ48l2UHB7GCV9VUjBkbLK09Sp/Dpfb0cIjrFs1+XtYpuj3enoe+qe+LsrPSuOth2O7zjBPfZxxwzgCV5sDAEBeUdc+G2n6NrDp2x6YPnmb506YPgAAAMCG5epUfeE6qp+zFcWJTIyZrihcW+aHqLCJ6moXZqhLhLOJEgYwmqUzTGRoJDmeazuhKeN4xsyaa9v2pyuuL40d7tquryxRPRRsAl3pC0AQBLWSfH1RZPpmB6aPf9vHwPQBAAAAFixXh+oLV6Tq45JMk2tZGrxh1C6Xu+Rn17CBhRk/a9bLmZ+D4ImcIq1v2/anvk7F9aWxw7W40XZdYRzfVR8NV3oAAGglWK7+CKYPAAAASAnL1Zn6whWp+jifafLeFsnLfGtjYYbLND1mOpm/Mk8+c2bcUuqYFVRp7U99nYprp/HVg9e7tmuHhTN6zvoUxQ3jAABAi8Fy9Uf27Z0wfQA0KXPnzqWJEyfmFq6fq94A1BOWqzP1hStS9XE+06TWqVsajTiWEeLf9kWGkAlMYeFWSBEWs52iB6LYcdWy/SnXq21ZM216HP6uyqPlW7RdT5izPt64AADQerBc/VHhQS6m6ZMvZ4fpA6B5YGO0atUqeR7lTVwvrp+r3gDUE5arM/WFK9DHAQAAqAcsV3+kv7IhwfTtg+kDIMOwKcrrOcSC6QNZgOXqTH3hCvRxAAAA6gHL1R8p0/fA3FSmTwHTB0DWgOkDoPawXJ2pL1yBPg4AAEA9YLn6o7MvvpqWbtwjTF/B8MH0AdCEwPQBUHtYrs7UF65AHwcAAKAesFz90dkXX0NLN+0xZvnyZ/q6O6kt+uF3geiH7x6Cp6Alx8s8XP+2TueP9mMpN12tqWW5qpF3g9rNNn0zRl5Kl14aMnKGEbfZYKU2feFLqgeUvA+6qbPN9ah3Ds/JtQBUDMvVmfrCFTXt4wAAAIAQlqs/KtP07Ws+02cPABMH5vyEMNcAsAnx1TWpDRpkXhIppVyl1qEabVKtOCWim76eSUM1o9dDk4ZeSiNnFKdpFlglmT7j6YUpEenaOv1P/eM/AsH0AZarM/WFK2raxwEAAAAhLFd/9E1l+jTD1xqmL8nU1WBQ3jDKrUtW26CUcpVah6T4afJrULvZM306bAKHTupxrmsGWLU1fb5ZvgIwfYBhuTpTX7iipn0cAAAAEMJy9Ufs24KZvh3C7DGtONPH38NbPgcMaKPObv09QOFAsCiOyqOd2uWtXyKeN04ndYa3ijKFgaO+HS3clY+Mr6/XwvXlUsoQhgft4iiLvt6VrypPSHdnW5RezpjI9Kp9GG1Q7csvVbggKncBdTuuor2rcFue+1a/mDqrTxVXLmt1idb583Dv8xBrO7FxU+I3fS0602fts7bOruh4KJrR02b5io7jMA5MH2BYrs7UF66oaR8HAAAAhLBc/VHrmL5wEFdAGRA2Bpa50AbjwcA+Jk5kTOLiaIPFKN/AkBQGkWweOL0nHxmnAA9AjUGqnNkosQxJZenS1yeVidPoBlmZ4EK6xHLGhmvl40F90fYtVNooDztOQp3tdM78YvJw7nMVTwvjz6S4KfGZPnmr59BJ1GOFNxOsskyfOv7s70Yb835U1wPHcRzGg+kDDMvVmfrCFTXt43LMgoWLacqT06hr/EO5g+vF9XPVG4BGgXOu+WG5+qMWnenTButyYGcbQm3wr9JXI46Kx8tFZdLWu/JRRkiPJ9NzXbTBrCttUhmivML1rniufI0yBW3K66LZETtfmY8yg478QrPkDLfz8ZVXT6vK7osbF26vd4Un5eFYjmYjxT4rys+VtgRcpi8Pho9hlTfTF7al73sYvzCj5ziOQ2D6AMNydaa+cEVN+7gcs3LVRtqwOWjfvInr1fP6Wme9AWgUOOeaH5arPyo2fQH5v73TmA0o/DXfmaZacfRlO1xf78qniNDsFRnPMspgr3fFS1WmgMDYiPh2vkn5xYW78tHjqFk2ZUT1bRXF1db7wu31rvCkPHzLeliauCmxTV9eDB/Dqo3p4/PIfWxHx7G2DNMHWK7O1BeuqGkfl2N4AJpnwfSBrIFzrvlhufojw/RptNCDXIK/7Bu31xUZlmrFCcPlshU/Mi2efFR6DfXbI3uWInUZksoSGcoUZZJhynRx/DC9Fs+8vdOVX7pwmY9eH4l2Wx7DA3+jjnpcxtpWUZ3T5JeURxjuKoMKs9d5y5uMYfpmjKRLLx1JM6w4zQqrJqZPxDVm9HidfRyHf0iA6QMMy9WZ+sIVNe3jcgwGoADUF5xzzQ/L1R+1sOnTB+w8WA9vu1MDvqI0VYpjLOvxbfNg5aPS63BeRetLKENSWbzr3WVSJpSRA2mZvk2UMUynl8Gbnyec81Lh6tbIKK8AfftBPI6j8tMMXER8nY38om3a+cXnIbdjL+thaeKmRDd9xjv6Qlru6Z16Wzq/874rPi6KjuMwHKYPMCxXZ+oLV9S0j8sxGIACUF9wzjU/LFd/1BqmDzSGCgwMKB1jpi9nsEo2fa51FQDTBxiWqzP1hStS93F83Uz6Q5KD4Hbk/B2j9gB0ckehbQZ0TA5DTfWMGBTFGTSiJwzNplIPQPm6xnVyHgfBH7F5Pa5RJdLgcUoWz1u36ZtMHQM6xP/Nr8rOueY411iu/ije9B0D0wcqAKavrsD0hcQOjsoBAypQgOXqTH3hinR9HM8+23c4tBffoq+IwrVZ68S4MXEyiDEA7RlBgwaNoMDG9dCIQYOoyNNxnGhwygNVR5wMqaQBaMIfs/CHqTKoxrlQ9rnlvtskFTU8h03Tx+dZ0P8NaEXT5znnsn6usVz9kd/07YfpA6CZgOkDoPawXJ2pL1yRqo/zDeSSBnhpBp01HCTWEmMAOrnDmN3jWb+iyT7DGHriZEgwfQ2mGudFuXlUsu0ans+Y6QtpNdN3BEwfAE0DTB8AtYfl6kx94Yp0fVwwq2y/LkQN8DrDW8GiWWcZrv1uegD/9jj8bgwIC7PVMlwNGOVnO7WH69o6u6J4URk4jsybcf+eu5boA1C+bVO/XdNeDqTPAGZ/oFrOABS/O64ixrngOMdUnDAsOgesc0ein1siHe+PaJ3A3Df68wCC2T5/fD0uh1vnM8cxyqjP+qsypp9RhOkLaRnTtx2mD4Bmg03RqlWr5HmUN3G9YPpAFmC5OlNfuCJ9H6cN6PQBphzshXHUwNL+1NcZeVrhejpjG/qAluNyWTSjp+dRJ0o3fULyFk9uv2zf2skqfQBq3cqrDeZh+spAHdOyLR3nmO8ckPHt88X6ruMK98U11gXXA9MAiu0aTwk348g/CvCxwnmoMqp8UwDTF9Iipu8BmD4Amo+5c+dKY5RXuH6uegNQT1iuztQXriirj+NBBw/s7MGhWrY/9XUqrp1G/+5Lp6+X5kmn9EFkJZRs+tL87i9DKn0AWvijgD0jDNNXBq5zwQ53nQO66dLT2t/1dHr+dlxffDuOHlffjp1PXNoEYPpCNNMXzcJqyzB9KfB1fGV1iAAAAEAdYbk6U1+4orw+LpzVSRrU6et9Az1XHF86fX0Jt4XVAmMAmuI3falnAzOiSmYdgoEoZvoqwnUu2OGuc0CP7/wezsjFzZIbYZ74rnT6evu7vuxLmwBMXwhm+mD6AAAAtC4sV2fqC1ek6eOi27JUWKNn+uxbyzi8zibQGICmmcVjY2jEydmDXOQ+UObAvPUQpq8M1LGuH/96uO8c0OM7v2u34TLqXFbLRlxe9sW3tq/MYdrbO+1tpgCmL6RFTJ/zN32P9ewX7KPHYPoAAAC0KCxXZ+oLV6Tt44LZG0U4CLQHb2rZ/pTreVBozgAFaOGudL7vUTpGm4moE/YA1P2ePnNAmuZdfllROQNQPMilirjOBT1cLjvOAed67dwS4fp+kuj5M9Y2/fH17at9rG1T5aXiqHRW/mmB6QtpGdPneHpnYPoEMH0AAABaFJarM/WFK9DHlYd7AJofVWMAqoDpA9UA51xIq5k+/T19MH0AAABaHZarM/WFK9DHlQcGoCE8ANVncQyC2/sKs0AAlA/OuRDnOdcc5xrL1R/5Td+bHtPXA9MHAACgNWG5OlNfuAJ9XHlgAApAfcE51/ywXP1RvOn7uMv0BSyH6QMgU+CVDQDUHparM/WFK9DHlQcGoADUF5xzzQ/L1R9VYPrehOkDIEOwMcLL2QGoLSxXZ+oLV6CPKw8egG7YHLRv3sT1gukDWQPnXPPDcvVHMH0A5AQ2RXk9h1gwfSALsFydqS9cgT6uPDZt6qVVG/pyC9fPVW8AGgXOueaH5eqPYPoAyAkwfQDUHparM/WFK9DHAQAAqAcsV38E0wdAToDpA6D2sFydqS9cgT4OAABAPWC5+qPWMH36Sys1kh63ql6S23KPQC7zhZ5NQTXqltH2sU3fjJGX0qWXhoycYcSNmDEyOU4GYKU2fbGPNo+DH8Vsv9A6ROWpgUejtyYsV2fqC1fUtI8DAAAAQliu/ujsi6+hno276YE52wvM3S5Mn+89fc1q+uwBYOLAvYvaB3gGgHmn2saoliap1LyT4qfJr1pxqoxh+nom0dChk6hHruuhSUOH0qQeM/7WrTNopDB7I2cEy2wSh07qseJkA1ZJpi/hJcZORLq2zm7HOmEGO8P8wjh4CXLrwnJ1pr5wRU37OAAAACCE5eqPzr7oaurZsJsmzNoq2EYTmdnbpOk75Ig8m74kU9eAQXtmqEbd69V+pW4nKX6a/OpVtxIxTB/P4Gkzd2zolLmL4DiRMcw2rNqavphZvgiO00ad3cFdADB9rQnL1Zn6whU17eMAAACAEJarPzrrwqtoyfpddP8rWwS9NJ7p7qW+/rybPj2Mv0e3bfGgjg2hWg4HgkVxVB7t1C7fzi/ieeN0Umd4qyhTGCzq29HCXfnI+AXUradFaX15lrKtsMzutlHrC/VuLyoLD47DZc7Hm5/Wtt42KlBcZ2s7VnxnnVVZ9DIxclnVSc/Pn0dsea3tJNWtGuimr2fSUGPWzl5WYVm+pVOHVbLps/ZpW2dXdLwUzehps3zdnW3RvoricV7auQjT17qwXJ2pL1yxf//+2PUAAABANeC+hvscO/zMC66kxev6adxLm6hL8fIm6u3fR4ccfnSef9On/qpf+Ot9FFcbrAcD/5g40UAwLo42QIzyDQxLYeDI5oLTe/KRcTykyrOEbRn5edZrA2CDojy0MKt8cnCtBufONgqXXbi2Y+Cpc5cnnTO/mDySyqvnV2rdyqQc0zd05Egamsff9EXHVXic2t+NfcD7WV0PeB/rf+jh78FxoBtBmL7WheUyb75wHWX8AAAAgFrhMnzM6R1DaNGaHXTf82sNtuzcSwcfdlReZ/q0wbwc2OlmkNHMgUpfjTgqHi8XlUlb78rHNlh2vKQ8S9mWbozi1vvyscuivuthacLVsh4etx07bly4vd4VnpSHYzmajRRmuSg/V9oqUtZMn/G7P8ctoBmBVd5MX9jWvu9h/MLMX8HgFc0GasD0tS4s7q/ShttAEARBUC3l6nuY077zfVq4ehuNnrbSYMuOPXTQYUfm+PZOYzZA/ZVfwx4kViOOvmyH6+td+RiombpwOU2epWxLzy+xTinK4gpLE66WJVWssyudKzwpD9+yHpYmbpXQTV/a3/QlGcOswKqN6dNn+UwCA+9fB9PXmrAqMX0AAABAIzjlvO/R/JV9dMfUZQabt++mAw/9WCs8yEWb9VNxObxoYFiNOGG4XLbiR6bGk49KH8XVwniQW0qeSdvylbFovcrLURY9jic/4/bOKD89frgsSbEdA0+do1nKNPkl5RGGu8qgwux13vJWjmH6Uj+9cyTNiOK04EyfiGvM6PE6eW7wMu9/9d0Epq91YcH0AQAAaDZOOfcymreyl257comBNH0fzrXp0wf0PJgPb8tTA76iNFWKYyzr8W1zYeWj0ofoD5uQlJRnwra8ZXTXyV0Wlc4yifzdiFecX9FySOJ2rPjOOmt5G/mp2zGL8ovPQ27HVV4VliZulTBMn8D9nj7d6Any+p6+VKaP923xcaMfF75bPGH6WhcWTB8AAIBmQ5q+FcL0PSHMnka+TB8ALYBt+vIEq2TT51pXJWD6WhcWTB8AAIBm45RzL6f5wvTd/mQP3aYB0wdAkwHTF8Kmj2fqajKjGtwhEM36OuOAPMOC6QMAxHHHU/Po1OGP06d+NAmEcHtwu7jay8WIESPoyiuvpMsvvxyEcHtwu7jaKw3Rb/qey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/>
 
 </div>
 <div id="description-10" class="section level3">
@@ -2664,16 +2682,19 @@ Example: “Gears\Gear1.vtlm” points to the “Gears” subdirectory of the Ge
 <p>In this chapter the used component models for the simulation are described.</p>
 <ul>
 <li><a href="#powertrain-and-components-structure">Powertrain and Components Structure</a></li>
-<li><a href="#acceleration-limiting">Driver: Acceleration Limiting</a></li>
-<li><a href="#look-ahead-coasting">Driver: Look-Ahead Coasting</a></li>
-<li><a href="#overspeed">ADAS: Overspeed</a></li>
-<li><a href="#cross-wind-correction">Vehicle: Cross Wind Correction</a></li>
-<li><a href="#rolling-resistance-coefficient">Vehicle: Rolling Resistance Coefficient</a></li>
+<li><a href="#driver-acceleration-limiting">Driver: Acceleration Limiting</a></li>
+<li><a href="#driver-look-ahead-coasting">Driver: Look-Ahead Coasting</a></li>
+<li><a href="#driver-overspeed">ADAS: Overspeed</a></li>
+<li><a href="#vehicle-cross-wind-correction">Vehicle: Cross Wind Correction</a></li>
+<li><a href="#vehicle-rolling-resistance-coefficient">Vehicle: Rolling Resistance Coefficient</a></li>
 <li><a href="#engine-startstop">Engine Start/Stop</a></li>
-<li><a href="#fuel-consumption-calculation">Engine: Fuel Consumption Calculation</a></li>
-<li><a href="#transient-full-load">Engine: Transient Full Load</a></li>
-<li><a href="#transient-full-load">Engine: WHTC Correction</a></li>
-<li><a href="#gear-shift-model">Gear Shift Model</a></li>
+<li><a href="#engine-fuel-consumption-calculation">Engine: Fuel Consumption Calculation</a></li>
+<li><a href="#engine-transient-full-load">Engine: Transient Full Load</a></li>
+<li><a href="#engine-correction-factors">Engine: WHTC Correction Factors</a></li>
+<li><a href="#engine-torque-and-engine-speed-limitations">Engine Torque and Engine Speed Limitations</a></li>
+<li><a href="#gearbox-gear-shift-model">Gearbox: Gear Shift Model</a></li>
+<li><a href="#gearbox-mt-and-amt-gear-shift-rules">Gearbox: MT and AMT Gearshift Rules</a></li>
+<li><a href="#gearbox-at-gear-shift-rules">Gearbox: AT Gearshift Rules</a></li>
 <li><a href="#torque-converter-model">Torque Converter Model</a></li>
 <li><a href="#auxiliaries">Auxiliaries</a></li>
 <li><a href="#engine-only-mode">Engine Only Mode</a></li>
@@ -2734,8 +2755,8 @@ Example: “Gears\Gear1.vtlm” points to the “Gears” subdirectory of the Ge
 </div>
 </div>
 </div>
-<div id="acceleration-limiting" class="section level2">
-<h2>Acceleration Limiting</h2>
+<div id="driver-acceleration-limiting" class="section level2">
+<h2>Driver: Acceleration Limiting</h2>
 <p>VECTO limits the vehicle acceleration and deceleration depending on current vehicle speed, to model a realistic driver behavior. These limits are defined in the <a href="#acceleration-limiting-input-file-.vacc">Acceleration Limiting Input File (.vacc)</a>, which can be set in the <a href="#job-file">Job File</a>. In Declaration mode this is already predefined.</p>
 <ul>
 <li>If the engine can’t provide the required power, the vehicle might accelerate slower than the defined driver limit.</li>
@@ -2747,8 +2768,8 @@ Example: “Gears\Gear1.vtlm” points to the “Gears” subdirectory of the Ge
 <p class="caption">The graph shows the acceleration and deceleration limits depending on the current vehicle speed.</p>
 </div>
 </div>
-<div id="look-ahead-coasting" class="section level2">
-<h2>Look-Ahead Coasting</h2>
+<div id="driver-look-ahead-coasting" class="section level2">
+<h2>Driver: Look-Ahead Coasting</h2>
 <p>Look-Ahead Coasting is a function that aims on modelling real driver behaviour. It is a forward-looking function that detects forthcoming reductions in target speed in the mission profile (e.g. speed limit, etc.) and induces an early deceleration using engine braking before applying mechanical brakes according to the <a href="#acceleration-limiting">deceleration limit</a>.</p>
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 <p>This pedal release decision is based on an estimation of kinetical and potential (height) energy gain versus the expected dissipated energy tue to vehicle resistances during the route section ahead.</p>
 <p>For an upcoming target speed change the energy level after the speed change is compared to the vehicle’s current energy level (kinetic and potential energy). The difference of those energy levels is used to estimate the average deceleration force to reach the next target speed. Coasting starts if the vehicle’s (estimated) average resistance force during coasting multiplied by a speed dependent ‘Decision Factor’ becomes smaller than the average deceleration force. (For details on the equations please see the ACEA White Book 2016, Section 8)</p>
 <p>The <em>Decision Factor (DF)</em> depends on the next target speed and the speed change:</p>
-<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="DF_{Coasting} = 2.5 - 1.5 * DF_{vel} * DF_{vdrop}" title="DF_{Coasting} = 2.5 - 1.5 * DF_{vel} * DF_{vdrop}" /></p>
-<p>whereas <img style="vertical-align:middle" src="data:image/png;base64,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" alt="DF_{vel}" title="DF_{vel}" /> and <img style="vertical-align:middle" src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAD8AAAARCAIAAADlm+POAAAABmJLR0QA/wD/AP+gvaeTAAAE2klEQVRIic2WbUhTbRjHr53tHHKroebmYuIbZaXlLG0KtbmFOYcaLgiigTGi/C6ig/VCBBmI7tP8LCQGoWjJarEgSzYWBlMp19gbO7mNWGtr6tCNnT0fjo8ez+yhpyfj+X26z//8L+7/fd/XOdyMTCYDAABAEEQikYAscnJymEwmTfyRmYTNZiMI8qO3vxHW1igYDA4PD1ut1ng83tLSQorhcDgQCKjVarVaTS3b1QwAXq/X5XIZDIaGhoY/kB4yO2ltbVUqlVRlZmamvr5+ZGQkk0W2OZPJXL58eW5uLtu8F+w437W1tWAwePToUarY2Nh44sSJx48f05a9qxkABAJBXV3dXmx0NjvSm0wmADhz5gzNVFNTEw6HnU7nP5i9Xi85yMvL+5mJnU7n3bt3Ozs7fyn2JjvSWywWgiCofUwSi8XS6XQqlfqRmSAInU5H6vfu3fuZicvKygoKCsLh8K9np361ALC0tMTn8/Pz82kmt9vNZDL3799PM3O53ImJCQBYWFjgcDj/amIMw3AcP378+C/F3mQ7/ZcvXyKRyLlz52iOdDrt9/sPHjxYWlpKM1dXVx87dgwA7Ha7WCymFa6srExOTubl5bW3twcCgUePHmm1WgDAcfzFixeHDh369OnTtWvXAMBms9lsto6Ojvfv3yMIcunSJQAIBALPnj1jsVi1tbWnT58mZ5mdnb148eKHDx/8fr9CodjunNnZ2XQ6nR3i5cuX379/V6lUVJE0NzU1SSQSiUSCoqhcLqcVTkxMiMXigYEBcgusVisAfP78Wa/XazSa8vLyUCikVCoBwOFwBIPBBw8esNlsg8FABr1z505nZ+eNGzfu37+/trYGAPPz8+vr67du3RKLxc3NzQ8fPtxO/+7dOyaTmR3iyZMnPB7v+vXrVJFmvn379pEjR2iF5eXlT58+JQ+nuLi4ra0NAHp7exsbGzEMc7vdAoGAw+H4/X65XO7xeGQy2YULF8bGxkhbT08P2Y0Yhn379i0ej586dcrhcNTW1vL5/H379uE4vp3+48eP+fn5AoGAmmBoaMjhcGi1WgzDqDrNXFBQAFlIpVKLxSKVSgGAIAgURZeXlz0eD7kMi8VSUVEBACUlJcXFxV6vt6WlBUXRwsJCs9kMAOSyCYLw+XwMBoPL5YpEIpfLRW6Z2Ww+cODAZvpgMBgOh6k/70QiodPpTCZTf38/7UCyzbuysrKC4/jVq1cBYHx8XKVSuVwuoVDIYrEAYGlpqaGhYWpqCgCMRiOPx9v6WySTycOHDzMYDACYnp4uKioSCoUAYLfbAUAkEgHAmzdvFAoFK5lMarXaaDSKomgkEunu7gaAVCr19evXs2fPGo1GFEW3AlHNgUCgu7tbKpV2dHTsmh5F0ZycHARBcBzHMCw3N7e6uprNZgOAzWaLRqNSqfT169fkY1VV1VZhZWXl6OgoAIRCoampqcHBQXIlb9++LSwsZDAYi4uLPB7v5s2bjMzft7S9YHx8PB6P8/n85uZmsvfGxsZSqdTJkycdDkcmk1GpVBwOR6/Xnz9/ntxUklevXvl8vo2NjStXrmy1pUajEQqFVVVVsVisq6sLQRD6Ped/SzKZlMlkdrudKv6Je+x/J5lM9vX1ra6uPn/+nKrvbef8RlZXVwEAQRDyyyH5C0CEe8mufaWDAAAAAElFTkSuQmCC" alt="DF_{vdrop}" title="DF_{vdrop}" /> are speed dependent and speed change dependent lookup curves, giving a value from 0 and 1.</p>
+<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="DF_{Coasting} = 2.5 - 1.5 * DF_{vel} * DF_{vdrop}" title="DF_{Coasting} = 2.5 - 1.5 * DF_{vel} * DF_{vdrop}" /></p>
+<p>whereas <img style="vertical-align:middle" src="data:image/png;base64,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" alt="DF_{vel}" title="DF_{vel}" /> and <img style="vertical-align:middle" src="data:image/png;base64,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" alt="DF_{vdrop}" title="DF_{vdrop}" /> are speed dependent and speed change dependent lookup curves, giving a value from 0 and 1.</p>
 <p>For the look ahead coasting target speed changes within the preview distance are considered.</p>
-<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="preview distance [m] = 10 * vehicle speed [km/h]" title="preview distance [m] = 10 * vehicle speed [km/h]" /></p>
+<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="preview distance [m] = 10 * vehicle speed [km/h]" title="preview distance [m] = 10 * vehicle speed [km/h]" /></p>
 <dl>
 <dt>Parameters in <a href="#job-file">Job File</a>:</dt>
 <dd><ul>
@@ -2803,10 +2824,10 @@ Example: “Gears\Gear1.vtlm” points to the “Gears” subdirectory of the Ge
 100           , 0</code></pre>
 </div>
 </div>
-<div id="overspeed" class="section level2">
-<h2>Overspeed</h2>
+<div id="driver-overspeed" class="section level2">
+<h2>Driver: Overspeed</h2>
 <p>Both functions control the vehicle’s behaviour on uneven road sections (slope ≠ 0) and can be configured in the <a href="#job-file">Job File</a>’s Driver Assist Tab. Overspeed is designed to model an average driver’s behaviour without the aid of driver assistance systems. Eco-Roll  represents an optional driver assistance feature. For this reason vehicles without Eco-Roll should always have the Overspeed function enabled.</p>
-<div id="overspeed-1" class="section level3">
+<div id="overspeed" class="section level3">
 <h3>Overspeed</h3>
 <p>Overspeed activates as soon as the total power demand at the wheels (Pwheel) falls below zero, i.e. the vehicle accelerates on a negative slope. The clutch remains closed, engine in motoring operation, and the vehicle accelerates beyond the cycle’s target speed. When the speed limit (target speed plus <strong>Max. Overspeed</strong>) is reached the mechanical brakes are engaged to prevent further acceleration.</p>
 <div class="figure">
@@ -2828,18 +2849,72 @@ Example: “Gears\Gear1.vtlm” points to the “Gears” subdirectory of the Ge
 <p>Eco-Roll is not implemented in Vecto 3.1.</p>
 </div>
 </div>
-<div id="cross-wind-correction" class="section level2">
-<h2>Cross Wind Correction</h2>
-<p>VECTO offers three different modes to consider cross wind influence on the drag coefficient. It is configured in the <a href="#vehicle-file">Vehicle File</a>.</p>
+<div id="vehicle-cross-wind-correction" class="section level2">
+<h2>Vehicle: Cross Wind Correction</h2>
+<p>VECTO offers three different modes to consider cross wind influence on the drag coefficient. It is configured in the <a href="#vehicle-file">Vehicle File</a>. The aerodymanic force is calculated according to the following equation:</p>
+<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="F_{aero}=1/2 \rho_{air}(C_{d,v}A(v_{veh})) v_{veh}^2" title="F_{aero}=1/2 \rho_{air}(C_{d,v}A(v_{veh})) v_{veh}^2" /></p>
+<p>The speed dependecy of the <img style="vertical-align:middle" src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACEAAAAPBAMAAACYbLsaAAAAMFBMVEX///8AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAv3aB7AAAAD3RSTlMAEImrmXYi3TJEu+9UZs34ZVP9AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAwUlEQVQYGWNgYGBUdg1IZYAAlgkgWr2BgakSKjL/ApDBtYCBgeMDVOR+AJDhLQAkgKIgwMvuwMDA+QfEPAAiGBjaQBq4NoDZEOIASwEDA78BhMO4lIGBh4EVKM8fABRhA2JLBoYUJa0PDAzcIJEZQAyUPcDA+Y2BgWUB0I0BDExXHwA1MXD8AMqVMjC0MjCsYHVgmAuUA9nMahTawMCxgflA8j8BhsnfLwCFQIDXgF0AwoKRPArtkjA2lPY9DLITBAAC3CSY/anAYAAAAABJRU5ErkJggg==" alt="C_dA" title="C_dA" /> value allows for consideration of average cross widn conditions.</p>
 <div id="speed-dependent-correction-declaration-mode" class="section level3">
 <h3>Speed dependent correction (Declaration Mode)</h3>
-<p>This is the mode which is used in <a href="#declaration-mode">Declaration Mode</a>. The speed dependent C<sub>d</sub>A curve (see below) is calculated based on generic parameters for each vehicle class and the C<sub>d</sub>A value from the <a href="#vehicle-file">Vehicle File</a>.</p>
+<p>This is the mode which is used in <a href="#declaration-mode">Declaration Mode</a>.</p>
+<p>The crossind correction is based on the following boundary conditions:</p>
+<p>1 Average wind conditions: The typical conditions are defined with 3m/s of wind at a height of 4m above ground level, blowin uniformly distributed from all directions. 2 Dependency of <img style="vertical-align:middle" src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACEAAAAPBAMAAACYbLsaAAAAMFBMVEX///8AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAv3aB7AAAAD3RSTlMAEImrmXYi3TJEu+9UZs34ZVP9AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAwUlEQVQYGWNgYGBUdg1IZYAAlgkgWr2BgakSKjL/ApDBtYCBgeMDVOR+AJDhLQAkgKIgwMvuwMDA+QfEPAAiGBjaQBq4NoDZEOIASwEDA78BhMO4lIGBh4EVKM8fABRhA2JLBoYUJa0PDAzcIJEZQAyUPcDA+Y2BgWUB0I0BDExXHwA1MXD8AMqVMjC0MjCsYHVgmAuUA9nMahTawMCxgflA8j8BhsnfLwCFQIDXgF0AwoKRPArtkjA2lPY9DLITBAAC3CSY/anAYAAAAABJRU5ErkJggg==" alt="C_dA" title="C_dA" /> value on yaw angle: The dependency of the <img style="vertical-align:middle" src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACQAAAANBAMAAAAzjdFVAAAAMFBMVEX///8AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAv3aB7AAAAD3RSTlMAEImrmXYi3TJEu+9UZs34ZVP9AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAyklEQVQIHWNggAM2MziTUdk1IBXI69oAEvIEEeoNDEyVQJrHAEhw/gUSXAsYGDg+ABksF4AE71cg4S0AJBYAMXsCkLhQAlT5B8hgOMDAGnMaSHMkrALq2wASYmBYy2AMJHkY3BkY+A3AIrwPGGyBjAMM0UChACCLjYH7AsM2IO2ktJ6BgRskNIMhP4EDaAIPA8P8BAaWBQwMjAEM/QysCyYA9TH0NzAwlDIwtAIVC+QpXOC8wMAgDxRmNQoFSnDqHDMVs3/IwGlfCwDdGydSC1xFDAAAAABJRU5ErkJggg==" alt="CdA" title="CdA" /> value on yaw angle is described by generic <img style="vertical-align:middle" src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABYAAAAQBAMAAADgw5IVAAAAMFBMVEX///8AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAv3aB7AAAAD3RSTlMAZnariRCZu+9UMiLNRN3ASDE1AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAfklEQVQIHWNggAHWIhgLSNsisRvAbFY3IQEWoQMMDILKApz8kROqmBIYWARYPzIsZ+BqYJ7AwFbA0MygxMBowBcAVA8Ut2LgdFgXC2SzFDAAtSVOVmBg4EwGSUIBVxeMBaQtYGzmBQz+G6Cc/RMY7GHiLAGsTTA2g4ryBCgbAJEHFEfNJGb7AAAAAElFTkSuQmCC" alt="3^{rd}" title="3^{rd}" /> order polynomial functions of the form:</p>
+<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="C_dA(\beta) - C_dA(0) = a_1\beta + a_2\beta^2 + a_3\beta^3" title="C_dA(\beta) - C_dA(0) = a_1\beta + a_2\beta^2 + a_3\beta^3" /></p>
+<p>The following table gives the coefficients per vehicle type:</p>
+<table>
+<thead>
+<tr class="header">
+<th></th>
+<th>a1</th>
+<th>a2</th>
+<th>a3</th>
+</tr>
+</thead>
+<tbody>
+<tr class="odd">
+<td>rigid solo</td>
+<td>0.013526</td>
+<td>0.017746</td>
+<td>-0.000666</td>
+</tr>
+<tr class="even">
+<td>rigid trailer, EMS</td>
+<td>0.017125</td>
+<td>0.072275</td>
+<td>-0.004148</td>
+</tr>
+<tr class="odd">
+<td>tractor semitrailer</td>
+<td>0.030042</td>
+<td>0.040817</td>
+<td>-0.002130</td>
+</tr>
+<tr class="even">
+<td>bus, coach</td>
+<td>-0.000794</td>
+<td>0.021090</td>
+<td>-0.001090</td>
+</tr>
+</tbody>
+</table>
+<p>In a pre-processing step VECTO calculates the function for <img style="vertical-align:middle" src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACEAAAAPBAMAAACYbLsaAAAAMFBMVEX///8AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAv3aB7AAAAD3RSTlMAEImrmXYi3TJEu+9UZs34ZVP9AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAwUlEQVQYGWNgYGBUdg1IZYAAlgkgWr2BgakSKjL/ApDBtYCBgeMDVOR+AJDhLQAkgKIgwMvuwMDA+QfEPAAiGBjaQBq4NoDZEOIASwEDA78BhMO4lIGBh4EVKM8fABRhA2JLBoYUJa0PDAzcIJEZQAyUPcDA+Y2BgWUB0I0BDExXHwA1MXD8AMqVMjC0MjCsYHVgmAuUA9nMahTawMCxgflA8j8BhsnfLwCFQIDXgF0AwoKRPArtkjA2lPY9DLITBAAC3CSY/anAYAAAAABJRU5ErkJggg==" alt="C_dA" title="C_dA" /> value as a function of vehicle speed. This is done by integration of all possible directions of the ambient wind from ground level to maximum vehicle height considering the boundary layer effect based on the following formulas:</p>
+<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="C_{d,v}A(v_{veh}) = \frac{1}{2 \pi v_{veh}^2 h_{veh}}\int_{\alpha = 0°}^{\alpha = 360°}{\int_{h=0}^{h=h_{veh}}{C_dA(\beta)\cdot v_{air}(h, \alpha)^2} \text{d}h\ \text{d}\alpha}" title="C_{d,v}A(v_{veh}) = \frac{1}{2 \pi v_{veh}^2 h_{veh}}\int_{\alpha = 0°}^{\alpha = 360°}{\int_{h=0}^{h=h_{veh}}{C_dA(\beta)\cdot v_{air}(h, \alpha)^2} \text{d}h\ \text{d}\alpha}" /></p>
+<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="v_{air}(h) = \sqrt{(v_{wind}(h)\cdot\cos\alpha + v_{veh})^2 + (v_{wind}(h)\cdot\sin\alpha)^2}" title="v_{air}(h) = \sqrt{(v_{wind}(h)\cdot\cos\alpha + v_{veh})^2 + (v_{wind}(h)\cdot\sin\alpha)^2}" /></p>
+<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="v_{wind}(h) = v_{wind}(h_{ref})\cdot \left(\frac{h}{h_{ref}}\right)^{0.2}" title="v_{wind}(h) = v_{wind}(h_{ref})\cdot \left(\frac{h}{h_{ref}}\right)^{0.2}" /></p>
+<p>with</p>
+<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="\alpha \ldots \text{direction of ambient wind relative to the vehicle x-axis}" title="\alpha \ldots \text{direction of ambient wind relative to the vehicle x-axis}" /></p>
+<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="h \ldots \text{height above ground}" title="h \ldots \text{height above ground}" /></p>
+<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="h_{ref} \ldots \text{reference heigth, 4m, for 3m/s average ambient wind}" title="h_{ref} \ldots \text{reference heigth, 4m, for 3m/s average ambient wind}" /></p>
+<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="v_{air} \ldots \text{resulting air flow velocity from vehicle speed and ambient wind}" title="v_{air} \ldots \text{resulting air flow velocity from vehicle speed and ambient wind}" /></p>
+<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="v_{veh} \ldots \text{vehicle speed}" title="v_{veh} \ldots \text{vehicle speed}" /></p>
+<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="v_{wind} \ldots \text{velocity of ambient wind}" title="v_{wind} \ldots \text{velocity of ambient wind}" /></p>
+<p>The generation of the <img style="vertical-align:middle" src="data:image/png;base64,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" alt="C_{d,v}A(v_{veh})" title="C_{d,v}A(v_{veh})" /> curve is demonstrated in <a href="Cdv_Generator_VECTO3.2.xlsx">this Excel sheet</a></p>
 </div>
 <div id="speed-dependent-correction-user-defined" class="section level3">
 <h3>Speed dependent correction (User-defined)</h3>
 <p>The base C<sub>d</sub>A value (see <a href="#vehicle-file">Vehicle File</a>) is corrected with a user-defined speed dependent scaling function. A <a href="#speed-dependent-cross-wind-correction-input-file-.vcdv">vcdv-File</a> is needed for this calculation.</p>
 <p>The C<sub>d</sub>A value given in the vehicle configuration is corrected depending on the vehicle’s speed and the C<sub>d</sub> scaling factor from the input file as follows:</p>
-<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="C_dA_{effective} = C_dA * C_d(v_{veh})" title="C_dA_{effective} = C_dA * C_d(v_{veh})" /></p>
+<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="C_dA(v_{veh}) = C_dA * F_C_d(v_{veh})" title="C_dA(v_{veh}) = C_dA * F_C_d(v_{veh})" /></p>
 <div class="figure">
 <img 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" />
 
@@ -2849,17 +2924,17 @@ Example: “Gears\Gear1.vtlm” points to the “Gears” subdirectory of the Ge
 <h3>Correction using Vair &amp; Beta Input</h3>
 <p>The actual (measured) air speed and direction can be used to correct cross-wid influence if available. A <a href="#vair-beta-cross-wind-correction-input-file-.vcdb">vcdb-File</a> is needed for this calculation. This file defines a ΔC<sub>d</sub>A value in [m²] depending on the wind angle. The <a href="#driving-cycles">driving cycle</a> must include the air speed relative to the vehicle v<sub>air</sub> (&lt;vair_res&gt;) and the wind yaw angle (&lt;vair_beta&gt;).</p>
 <p>The C<sub>d</sub>A value given in the vehicle configuration is corrected depending on the wind speed and wind angle (given in the driving cycle) using the input file as follows:</p>
-<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="C_dA_{effective} = C_dA + {\Delta}C_d(\beta)" title="C_dA_{effective} = C_dA + {\Delta}C_d(\beta)" /></p>
+<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="C_dA(v_veh) = C_dA + {\Delta}C_d(\beta)" title="C_dA(v_veh) = C_dA + {\Delta}C_d(\beta)" /></p>
 <div class="figure">
 <img 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" />
 
 </div>
 </div>
 </div>
-<div id="rolling-resistance-coefficient" class="section level2">
-<h2>Rolling Resistance Coefficient</h2>
+<div id="vehicle-rolling-resistance-coefficient" class="section level2">
+<h2>Vehicle: Rolling Resistance Coefficient</h2>
 <p>The rolling resistance is calculated using a speed-independent rolling resistance coefficient (RRC). In order to consider that the RRC depends on the vehicle weight it is modelled as a function of the total vehicle mass. The total RRC is calculated in VECTO using the following equation (the index i refers to the vehicle’s axle (truck and trailer)):</p>
-<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="RRC = \sum_{i=1}^{n} s_{(i)} \cdot RRC_{ISO(i)} \cdot \left( \frac{s_{(i)} \cdot m \cdot g }{w_{(i)} \cdot F_{zISO(i)} } \right)^{\beta-1}" title="RRC = \sum_{i=1}^{n} s_{(i)} \cdot RRC_{ISO(i)} \cdot \left( \frac{s_{(i)} \cdot m \cdot g }{w_{(i)} \cdot F_{zISO(i)} } \right)^{\beta-1}" /></p>
+<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="RRC = \sum_{i=1}^{n} s_{(i)} \cdot RRC_{ISO(i)} \cdot \left( \frac{s_{(i)} \cdot m \cdot g }{w_{(i)} \cdot F_{zISO(i)} } \right)^{\beta-1}" title="RRC = \sum_{i=1}^{n} s_{(i)} \cdot RRC_{ISO(i)} \cdot \left( \frac{s_{(i)} \cdot m \cdot g }{w_{(i)} \cdot F_{zISO(i)} } \right)^{\beta-1}" /></p>
 <p>with:</p>
 <table>
 <colgroup>
@@ -2870,60 +2945,59 @@ Example: “Gears\Gear1.vtlm” points to the “Gears” subdirectory of the Ge
 </colgroup>
 <tbody>
 <tr class="odd">
-<td align="left">RRC</td>
-<td align="left">[-]</td>
-<td align="left">Total rolling resistance coefficient used for calculation</td>
-<td align="left">[calculated]</td>
+<td>RRC</td>
+<td>[-]</td>
+<td>Total rolling resistance coefficient used for calculation</td>
+<td>[calculated]</td>
 </tr>
 <tr class="even">
-<td align="left">s<sub>(i)</sub></td>
-<td align="left">[-]</td>
-<td align="left">Relative axle load. Defined in the <a href="#vehicle-file">Vehicle File</a>.</td>
-<td align="left">[user input]</td>
+<td>s<sub>(i)</sub></td>
+<td>[-]</td>
+<td>Relative axle load. Defined in the <a href="#vehicle-file">Vehicle File</a>.</td>
+<td>[user input]</td>
 </tr>
 <tr class="odd">
-<td align="left">RRC<sub>ISO(i)</sub></td>
-<td align="left">[-]</td>
-<td align="left">…Tyre RRC according to ISO 28580. Defined in the <a href="#vehicle-file">Vehicle File</a>.</td>
-<td align="left">[user input]</td>
+<td>RRC<sub>ISO(i)</sub></td>
+<td>[-]</td>
+<td>…Tyre RRC according to ISO 28580. Defined in the <a href="#vehicle-file">Vehicle File</a>.</td>
+<td>[user input]</td>
 </tr>
 <tr class="even">
-<td align="left">w<sub>(i)</sub></td>
-<td align="left">[-]</td>
-<td align="left">Number of tyres (4 if Twin Tyres, else 2). Defined in the <a href="#vehicle-file">Vehicle File</a>.</td>
-<td align="left">[user input]</td>
+<td>w<sub>(i)</sub></td>
+<td>[-]</td>
+<td>Number of tyres (4 if Twin Tyres, else 2). Defined in the <a href="#vehicle-file">Vehicle File</a>.</td>
+<td>[user input]</td>
 </tr>
 <tr class="odd">
-<td align="left">F<sub>zISO(i)</sub></td>
-<td align="left">[N]</td>
-<td align="left">Tyre test load according to ISO 28580 (85% of max. load capacity). Defined in the <a href="#vehicle-file">Vehicle File</a>.</td>
-<td align="left">[user input]</td>
+<td>F<sub>zISO(i)</sub></td>
+<td>[N]</td>
+<td>Tyre test load according to ISO 28580 (85% of max. load capacity). Defined in the <a href="#vehicle-file">Vehicle File</a>.</td>
+<td>[user input]</td>
 </tr>
 <tr class="even">
-<td align="left">m</td>
-<td align="left">[kg]</td>
-<td align="left">Vehicle mass plus loading.</td>
-<td align="left">[calculated]</td>
+<td>m</td>
+<td>[kg]</td>
+<td>Vehicle mass plus loading.</td>
+<td>[calculated]</td>
 </tr>
 <tr class="odd">
-<td align="left">g</td>
-<td align="left">[m/s²]</td>
-<td align="left">Earth gravity acceleration (constant = 9.81, Vecto 3.x: 9.80665)</td>
-<td align="left">[constant model parameter]</td>
+<td>g</td>
+<td>[m/s²]</td>
+<td>Earth gravity acceleration (constant = 9.81, Vecto 3.x: 9.80665)</td>
+<td>[constant model parameter]</td>
 </tr>
 <tr class="even">
-<td align="left">β</td>
-<td align="left">[-]</td>
-<td align="left">Constant parameter = 0.9</td>
-<td align="left">[constant model parameter]</td>
+<td>β</td>
+<td>[-]</td>
+<td>Constant parameter = 0.9</td>
+<td>[constant model parameter]</td>
 </tr>
 </tbody>
 </table>
 <p>For each axle the parameters <strong>Relative axle load, RRC<sub>ISO</sub></strong> and <strong>F<sub>zISO</sub></strong> have to be defined. Axles with twin tyres have to be marked using the respective checkbox in the <a href="#vehicle-editor">Vehicle-Editor</a>.</p>
 </div>
-<div id="engine-startstop" class="section level2">
-<h2>Engine Start/Stop</h2>
-<p>Eco-Roll is not implemented in Vecto 3.1. ##Fuel Consumption Calculation</p>
+<div id="engine-fuel-consumption-calculation" class="section level2">
+<h2>Engine: Fuel Consumption Calculation</h2>
 <p>The base FC value is interpolated from the stationary <a href="#fuel-consumption-map-.vmap">FC map</a>. If necessary the base value is corrected to compensate for unconsidered auxiliary energy consumption for vehicles with Start/Stop. In Declaration Mode additionally the WHTC correction is applied, see below.</p>
 <p>The CO<sub>2</sub> result for the actual mission profile is directly derived from the fuel consumption using a gravimetric <a href="#settings">CO<sub>2</sub>/FC factor</a>.</p>
 <div id="fuel-map-interpolation" class="section level3">
@@ -2944,7 +3018,7 @@ Example: “Gears\Gear1.vtlm” points to the “Gears” subdirectory of the Ge
 <div id="engine-transient-full-load" class="section level2">
 <h2>Engine: Transient Full Load</h2>
 <p>The engine implements a PT1 behaviour to model transient torque build up:</p>
-<p><img style="vertical-align:middle" src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAXYAAAAmCAIAAABfxSdxAAAABmJLR0QA/wD/AP+gvaeTAAAYkUlEQVR4nO2de1wTV/bABwYSSjQfYIWCSlTAIlaKFrSFZlWoyKIC4gNhsRUqYEFAq1hBaxWs4Cp8VFDpwwdKxIVVwEAWRFlgRd7vlZdAkFAePjYxgcRMSMjvj9vfOJ08CA8fdfP9a+bm3Dt35s49595zz51oSKVSSM1UgyAIkUh807VQo+bNo/mmK/BOgSDI8+fPf/zxR1dXVx6P96aro0bNm0frTVfgnSI3N7e8vFxLS4vNZr/puqhR81agHsVMJRs3boyPj7e2tn7TFVGj5m1BrWLUqFHzClGrGDVq1LxC1CpGjRo1rxC1inmnEIlE169ff9O1UPO/i1gsvnbtGjbl5YoSgiAHDx6USCQSiURbW1tDQwOCIKlU+v7773t5ec2dO/c111XNeBGJRIcPHw4KCnrTFZkyuru7u7q6Vq1aNYG8LBarra1t9erVU16rMSkoKFiwYAGFQplA3rt375qbm8+bN2/Ka/V60NLSMjAwOH369O7du39LQX8jEomHDx+OiooqLS09fPgwaNcnT55cvHjRy8srOjra1dX1zdRajWocPXqUSqXi3s6GhgYajTYyMiKVSgkEAkiUSCSWlpZffvmlrq7um6ipSnR3d585c+bEiRMTy06hUK5duzYyMrJ27drJVANBkH379mloaGhra0MQJJVKR0ZGUBsMTPLJkyfRSEsGg9HU1DRh1bZ8+fJvv/12165dKmqZt7B9XV1dy8vLGQzGb09e+nvc3d3t7OyGh4fRFLFYvGLFCnd3d6ka1bhy5YqNjQ2bzX6dFy0rK/v2229l08ViMY/Hc3Z2trOzGxgY4PF4PB6vqqrK29vb0dGxp6fndVZSdRAEWb9+fUdHxyQL8fT0nGQhdDp95cqVDAYDPLp9+/bZ2NhkZmaC0+zs7CVLlnC5XCDc0dHh6emJIMhkrtjR0bF+/XoVC3k72xdBkG3btvH5fKlU+jtfDJ/P7+vrMzExIZFIaKJYLBaJRC9evJBVVwKBgE6ni0QicCqRSAQCgVwxiUSiSOcNDQ1NSFe+jdTW1oaGhubl5RkbG+/duzc0NFQoFL6eS1++fHnDhg2y6TAMa2pqstlsExMTY2Pj6dOnT58+fenSpTExMWw2+8cff3w91RsvCQkJVlZWFhYWkymEQCB89dVXhw4dUiJTV1f397//XYlATk7OsWPH1qxZAx4di8XS1tZevXo1OPXw8Fi8eDGZTAbChw4d+uqrr9DRxMSwsLCwsrJKSEhQRfjtbF8CgWBlZXX16lUI5+4tKSkRi8W4yLGamhqBQLBgwQJcKQKBYPv27S9evIiJiYEg6Pbt2xs3bty8eTNWRigU7ty509HR8caNG7L1qK2t9fPzW7ly5TsTa29ra3v27Nnr16/n5+dfunTp7NmzOjo6r+G6PB6Pw+F88skncn+V26wg/pjP58vK9/b2lpSUoKcIgiAIIiv26mwDgiAMBsPf33/yRbm6uj5+/LiyslKRQGtra3l5uZKaCAQCBwcH9JTFYmFtMI/H09L6zdtQWVn5+PHjKfEn+Pv7MxgMuY9dlvG27+shODj4X//6F4RTMaWlpRAEffbZZ2iKSCRKSEjQ19ePiIjAFZGYmKirq1tWVmZiYgJBkIuLC4VCmT9/PlZGR0fnhx9+EIlEcqemtra2Tk5OM2bMQI3AJEEQZGgsVGy2PxZ0On327NmKfpVtVgiCQPMvXboUJ1xeXh4fH19cXAxWps6dO+fq6nrw4EGsjOq2obe3t6GhYcz63759GzvOLSgoIJFIuHdJIpFgldrQ0JDcITMOGIY/+uijrKysMSUVsW7dOvS4oaFBIBBgOzORSHRycgLHWVlZH330EQzD2OxASWFvQZU3cP78+SQSqaCgQJUajqt9XxtkMnl4eJjD4fxuj1JzczMEQc+ePcvIyIAg6NGjRxUVFbNmzTpz5oypqSmuiM7OTmNj42PHjqEpDx8+/PLLL3FiDAbDyMhIX19fbj1qa2utrKwmfz+ApKSkoqIi5TKOjo6y6vKPTk1NjZ2dnaJfm5ubtbW1V6xYgaZ0d3fn5uYuXLjQx8cHJ5yUlLRs2bKSkhIXFxcIgnbu3Jmdnf3xxx9jZYBtGBgYGNM2xMfHa2pqLl68WIkMh8OJjIwsKSlBSyssLLS0tMSJ7dq16/nz52Qyed++fadPn4Zh+OnTp7NmzTp+/LjyOtjZ2eGWUVWHSCR6e3ujp+DtwnZmrEBjY6Ovry82u0AgCAoKEgqFjo6O8+fPz8nJIRKJTCZzw4YNW7duVX5pS0vLwsJCNze3MSs5rvZVBYFAMCV+YgsLi/z8/JcqBjhijI2N0bH93Llzg4ODp0+fjsvZ19d36tSplpYWkUgUHx8PeiyHw8GOEru7u9PT02fNmlVYWCirRAoKCtrb2/X19VtbW/38/CAI6unpKSwsHBwcPHDgAARB58+f9/DwkEgkd+7cefr0qZOTU0dHR3Nzc2BgoBJPe0RExHjVR0NDw8OHD8eV5Q1CpVJnzpwJjo8fP15eXp6UlEShUAYHB3E2HwU067Rp0xgMBkhpaGhobGx0c3Pbs2cPzuRKJJL+/v4PPvgAXXHkcDjPnj2THfyraBva29tlrQ4OYISw2mpwcNDc3BwrU1lZOWvWLHt7+5MnTyYkJJw4cUJXV7ejo2Pz5s0BAQHKXTYGBgZcLndKPq/R0NCA68woCIJwuVwDAwNsYmJiYkhISHp6+rVr19zc3IBmPHfu3KVLl3x8fHAPH8f06dO7urrGrNK42lcV+Hy+k5PTnTt3Jj+3MDEx6enpealiwIzO1tbWy8tLeU5jY+Nvvvnm7t27cXFx6PAEO1rp7u6OiYn56aefYBi+dOkSbpbEYDDu3bt3/Pjxtra2hIQE8PoWFBSsXLnS19d3165dIpHol19+8fHxyczMdHNzW7t2LZVK9fX1jYuLO3PmzOnTp0E5YBg5ycCH/Pz84uLiyZTwOiGTyaiKKS8vZ7FYDx48oFAobDZbUYcHzYpVQCtWrDh8+LBsfysqKrp16xaXy71z586LFy82btwIyQxCZW0Dikgk+umnn/T09DQ1NalUak1Nzb179x4/flxVVdXf3w9UP2p4xGIxhUKhUqkHDx5sbW3V0tKKiIjYunUrGO+w2Wyc9b53756Tk1NRUZG2tvbu3buBjQXuBulYHzyiUqkCgQBVMTgXkkgkwk3BIAiSNauQPEcM7leBQEClUrGJfX19tra2iYmJZDJ57969oMMPDQ2Njo4qrzMEQQsXLqyurgbHLBYrLCzM3t4+MjISJ6Z6+6pISUnJe++9J/cexwuFQqmqqnqpYuTO6OQCw3BjY6Oenp6xsTGqJqurq9G3/MCBA8uXLycQCBwO5/nz51gbKBAI4uLiLl++DEFQTU0NeH0RBPn4449v3rxpZmZGIpGysrJAupWVVUFBgYGBAWi5gYEBrFZms9k4o4EgCLq8pQgCgYB9+pGRkbLN9ofg7NmzLS0tYDqjBNCsnp6ea9asUS7p4ODw6NGjlpaWmJgYdE0E26xybQNKQkICmUz+4osvkpOTf/755++///758+etra1Hjx4FrYY1PKtWrQoMDAShWGDWsGHDBiWD87CwMCKReOrUKXNzc3TMUlRUpKuri4twS05ObmtrO3PmjNxy+Hw+duIDQZBQKBQKhbjEjIwM2T4m64gZk/j4eAiCWCyWm5sb+kgbGhqwHQcQHh7+4Ycf7tixQ245Dx48YLFYcn9SvX17e3vz8vJMTU2NjIysra1BfQQCQVpamo6OzqJFi6ytrW/evFlQUKCvr3/z5k10yBweHr5t2zZbW1u5xQoEgpycnKdPn4aGhsoVeKliZGd0SmhqaiKTydjHhA6JeTxeW1vb+fPnIXmOmFu3bqGePPT1JRKJtra2aHQfmu7g4JCeng6OJRLJgwcP9uzZA8oBIQ84Vf0/5YsxNTWVdZDJonqzEonEjo4OU1NTrA1Hm1WubcBmr6qqgiDIwMBgyZIl69atIxKJTU1NVlZWaGlyDY9YLH727Jm7uztu4ICLciASiWAQgR3dlJWVffjhh7h3QF9fH6f7sEWRSCR0QgG4du1aVVWVIpWERdYRI4tstSsrKwUCAeoS5vF4nZ2d27dvx2U0NjbGjcexRa1ZswaG4YULF8peUcX2BXGMsbGxTU1NO3bsyMjIMDMz6+7uPnTo0JEjRwgEwt69ey9evAhBUGdnJ+4e3dzclCjW2trawcFBJpOpSOC3FSW5ETFK6O/vx86WgSPGwcHhzp07LS0thoaG4P0DyiI/Px9dPHv06BHqyWtvb1+2bFlmZiYEQTwej8ViAWMC0rEyEATV1NQIhUJnZ+esrCyBQJCSkuLn54dzzkdERDDG4t3QLzg0NDTkRh6Nt1mZTKaxsTF6ivWvybUNWIKDg0dHR0+dOhUTEwOsH7YdgeEB7Ys1PHJXA0xNTevq6nDlg0EE2lc7OztZLJaHh0d1dfXt27dRMW9v77/85S/YjPn5+Xp6epMf+StxxEAQRCKR9PT08vPzcelgqIU6vNPS0jQ0NHx9fZOTk7ErygcOHMA5Gevq6rAmxMXFRdaiqNi+EokkODjYy8tLV1eXzWZPmzZtzpw5IDEkJMTCwuLx48dkMplEIq1du3Z4eNjPz8/Lyws0YnFx8YIFC5RE+vz5z3+eMWOGoutqampqIggSERGxZ88eqVQ6OjoaERGhyipjR0cHdj2ssrLS0NCwrKzMzs4OHYP19PS0tbXZ2dn19vaij8DGxgYclJaWstnsVatWoR+I09DQgGG4vb0dfa2xr3hOTo6VlVV9fb2JiUl2dra7u/ub+rKcoiGrXHp6el5dTVAsLS1lX25IQcSEEv773/8uWrQIPQX9v7Kyks/nK7INABqNVl9ff+vWrZSUlIGBAT6fj7Zdd3d3dXW1IsODaitsacbGxsPDw7i64fpqZmamrq6us7PzzZs3UU9EXl5eamoqLiOHw8GNuCeAQCBQ4oiBIAiGYTKZzOFwcOkNDQ0UCgUdapWUlJibm5NIpKamJrCuIhKJaDSabPMNDw9j1b1cVGzf27dvC4VCEDZVWlpqbm4OwzA2cenSpRcvXoRhuKSkZNq0aWZmZiAjnU4nkUhhYWHKy1dEXV2dra2tFpgPY38Yc72Kz+fjVhmcnZ2Li4tHRkbAO7Ru3bqkpKQ5c+bs3r27pqbm888/RyVdXFzu37+fkpLywQcfeHp65uTkgPEhmUzevn37lStXuru7UbPGZDI/++wzcLx9+/aff/75yZMnYIvDhQsXbG1tp+oT3MrXlfT19Z2dncHx5cuXUUOqCr29vS0tLa96exdw3WNTwNaVnp4eGIZ7e3sjIiKOHTum/HHxeLxnz55hhwDt7e2WlpbAQtjY2AwMDEAY20Cn01HJgoIC0I4wDC9ZsoRMJufn5wOdkpmZ6efnJxQKsYbniy++AMWyWKyNGzcymUw0gA2CIHd39/3790skEqxeaGxsnDNnDnoLVCo1Ly/v0qVLM2fOBF0iKyvLxsbm5MmTHh4e2NWQuro6e3v7iTxWCIIgKD4+fnBwsKenBzh0wShY7sO0t7fHDb4QBOnt7XV3d0dTbGxs/vOf/5w4ccLd3R3cHY1G++STTyIiIrBPXiKRdHZ2BgYGKqrVuNr3wYMHQK1AENTc3Lx69eqysjIOh4MmgivCMIwqoLKyMgcHB7FY3N7eDrxdcmP0dXV1lehusNCpBSnwn8tFJBIdOXLExcXFxMQEO7iFYRgbnvD111+jx7jeBcMwGkqDBk1CEBQaGmptbb1jxw4fHx802MnW1hZ1Ms2bNy8uLg4ca2lpFRcXh4WFVVdXT0lw0ZEjR3R0dDw8PIAnm8FgBAQEGBkZSSSS9PT00dFRoGKSkpL09fXnzJmjeslUKjUyMlJPT29ib/nQ0FBcXNyKFSuUu3WdnJx++eUXbIq1tTXOcoypjktLS3FzlsDAwOTkZCMjI0ixbQAcPXr0/v37qampfX19IGgdWJ2rV6+uWrUKhmESiSTX8AQFBdXX15PJZGw/tLOz09HRqaiowDoF9u3bZ2hoiJ46ODicOHGCzWajT0YqlQ4MDAiFQuydCgSCjo4OEAkxMUJCQmS7ltyHuWXLFn9/f2xQCZFI/P777x0dHbF3cffuXUNDQxBqJBQKjYyM6HS6np4etqiKigodHR0lsU7jat/Zs2f39fVBEMRkMvv7+0HTzJ49G+zkhCBIJBJlZGT4+Pi0tLQ4OzuDh+bg4LBhwwZvb+9vvvkGgqDz588PDg7iSkYXAWUB24kWL16M3wapnLy8PGdn5+jo6NTU1CncNCUUCr28vLq6uuh0+l//+lexWKxcnsvlAk1cUVEx+atzuVw/Pz/0NC4uzt7eXigUgtPy8vLw8HCpVMpkMtevXz9m3WTp6ury8PCQm1EoFMbGxsrNVVNTs3PnzvDwcBsbGxqNpvwSYrHYy8sL7DqbAEwmMzY2Ni4uLioqamIlTDmpqakBAQHjzRUQEIC7hXPnzoHmU0RfX199ff2466eA8PDwc+fOjSuLWCx2dHTMycnBJgYEBExhF+Pz+f7+/jdu3MjKyvL3909JSamsrBSLxSEhIRcuXLhx4waNRgO7LhMTE48cOZKamgpOmUymm5tbRUVFV1eXkvJpNJrsQy4tLQ0LC5NKpeNTMWKxOCMj45///Of4blEF6uvrU1JS0tPTVezDV69enapqJCcnYxt4y5YtW7ZsQU9pNNrZs2elUun+/fsVqYMx2bJlC51Ol03ncrnOzs5KMnK5XFVUjFQqPX78eHJy8sSq991333399dfbtm1T/ia9Zvz9/XNzc1WX5/P5Dg4OFRUV9+/fByk9PT2enp4T1rwTgM/ne3p6jmt/c2lpqb29PZfLra2tBSm5ubn+/v5TWzGwIRscYB8Ij8dDrSmagvZBBoMRFhZ24cIFJb3y3//+d0RExKZNm+h0OlYsMDAQjADGp2LeSa5fv44+ZaFQaG9vj1UltbW1tbW1wNRgB02//vprYWGhWCwWi8X19fXZ2dlKXuXY2Fi5NnkKVQyCIP7+/hPrTn19fTQaraamZgJ5Xx0IgkRGRjKZTBXl09LS3NzcuFwusP8IgkRFRamefapgMplRUVGqf89h165dUVFRubm5Dx8+BNkjIyMn+TmIKaSwsPDXX39VIsDn83n/D5pYVla2f/9+cKz+HyUIG3aFWxmFIAjMmTkcDjaClsViZWVlAa8Y8LOYm5tv2rQpJydHrveLQqGAbWmvDgKBEBQU9MMPP8TGxo4378yZM3Gba94GCARCdHR0e3u7ivIWFhYzZ86k0+kgPJ3D4QQHB6sSOjS1zJs3Lzg4mMPhvP/++6rIW1hYPH36dGRkBKyLDQ8PR0dHT/JzEFPImIsbsqtDIpHowoULSUlJ4FStYn4HbmUUBRdbkZaW5ujoWFRUdPfu3atXr1IoFB6P19/fz+fz0bUM7KaYZcuWnTx5ksfjTdWecrl8+umnHA7n/PnzISEhr+4qrxMCgaD6ivvSpUtBJB7Q8ir28FfBuPRaaGjo0NAQuuTyR/8TLolEEhMT891336GqR61ifgcuigFldHSUQCCgI5S5c+cuXrz41KlTq1evBkt6ra2turq62Ixbt27du3fvp59+CmFed/CVRlRGIpEMDw+Hh4ejKSYmJlFRUROuv6ur6zv5tQoVeZu/E6oE1Zd0335gGD506BC2I6hVzEtkQ9QV4e3tDYTBeh4EQUVFRTjddOXKFdk3XktLC7tTTigUNjc3Y1MUffVCdaYqVkiNmomBewPVKuYlso4YFH19/eHhYezcB8RAgymVRCIpLi7eunUriLxatGhRRkbGjBkz0GCq1tZWbW1tGIZhGMZuZOfxeDQabcyt7WrU/HFR/4/SSxQ5YiAIolKpL168wM5BsMOWmpoaHo+3efPme/fu6enpXb9+ffny5YmJiahwZ2engYHBlGyQV6Pmj4V6FPPbH0hBENTQ0ADDMDjGhWOTyWRTU9PS0lJ0y3xjY+OSJUvAsaGh4Z/+9Kfe3l49PT0zM7PBwcG0tDTs9Ke5uVnRXnjltRoaGoJhODs7u76+XkkkpRo1by0a0rG+6PO/gOyXrmU9cH/72984HA66T6Kurm7RokXYj4BwuVx0G66Hh0d8fLyZmRnwEHt4eBw4cED28908Hm/Tpk2KPtGKq5Xy/SBq1LydqEcxEKSaSz8sLMzX1xfdgYL7nC12fFFZWfnee+89fPgQhmEzM7P79+8bGBjI/XsAEomEXWCaQK3UqHnLUftiVEVXVzcoKAjrYVGEpqamnp7ekydPzMzMJBLJP/7xj+joaLmSMAyje7jVqHknUU+Uxkdpaam2traifyxCEQgEIAaMTqdbW1v/cf+iWI2aSaJWMeNGLBZjP24yhcJq1Lx7/B+YDzD/dztZGwAAAABJRU5ErkJggg==" alt="P_{fld\ dyn_{i}} = \frac{1}{T(n_{i})+1} \cdot \left(P_{fld\ stat}(n_{i})+T(n_{i}) \cdot P_{act_{i-1}}\right)" title="P_{fld\ dyn_{i}} = \frac{1}{T(n_{i})+1} \cdot \left(P_{fld\ stat}(n_{i})+T(n_{i}) \cdot P_{act_{i-1}}\right)" /></p>
+<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="P_{fld\ dyn_{i}} = \frac{1}{T(n_{i})+1} \cdot \left(P_{fld\ stat}(n_{i})+T(n_{i}) \cdot P_{act_{i-1}}\right)" title="P_{fld\ dyn_{i}} = \frac{1}{T(n_{i})+1} \cdot \left(P_{fld\ stat}(n_{i})+T(n_{i}) \cdot P_{act_{i-1}}\right)" /></p>
 <p>with:</p>
 <ul>
 <li>n<sub>i</sub> … current engine speed</li>
@@ -2953,93 +3027,132 @@ Example: “Gears\Gear1.vtlm” points to the “Gears” subdirectory of the Ge
 <li>P<sub>act i-1</sub> … Engine power in previous time step</li>
 </ul>
 <p>Vecto 3.x uses basically the same PT1 behavior to model transient torque build up. However, due to the dynamic time steps the formula is implemented as follows:</p>
-<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="P_{fld\ dyn_{i}} = P_{fld\ stat}(n_i) \cdot \left(1 - e^{-\frac{t_i^*}{\mathit{PT1}}}\right)" title="P_{fld\ dyn_{i}} = P_{fld\ stat}(n_i) \cdot \left(1 - e^{-\frac{t_i^*}{\mathit{PT1}}}\right)" /></p>
+<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="P_{fld\ dyn_{i}} = P_{fld\ stat}(n_i) \cdot \left(1 - e^{-\frac{t_i^*}{\mathit{PT1}}}\right)" title="P_{fld\ dyn_{i}} = P_{fld\ stat}(n_i) \cdot \left(1 - e^{-\frac{t_i^*}{\mathit{PT1}}}\right)" /></p>
 <p>where t* is computed from the dynamic full-load power in the previous simulation interval:</p>
-<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="t_i^* = t_{i-1}^* + dt" title="t_i^* = t_{i-1}^* + dt" /></p>
-<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="t_{i-1}^* = \mathit{PT1} \cdot ln\left(\frac{1}{1 - \frac{P_{eng_{i - 1}}}{P_{fld\ stat}(n_i)}}\right)" title="t_{i-1}^* = \mathit{PT1} \cdot ln\left(\frac{1}{1 - \frac{P_{eng_{i - 1}}}{P_{fld\ stat}(n_i)}}\right)" /></p>
+<p><img style="vertical-align:middle" src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAGcAAAATBAMAAAB/3A4dAAAAMFBMVEX///8AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAv3aB7AAAAD3RSTlMAIjK7Zu+Jzd1EqxB2VJkyYkCPAAAACXBIWXMAAA7EAAAOxAGVKw4bAAABUElEQVQoFY2TsUrEQBCG/+TuQkJyMWihnQeirRZ5gLW0O9/giiOKIKTT2sLG5hpLIYpYLBYpRBAszgdQtPBeQbAR38DJbjbu3kZwip2Zb/4/mSwEoLirDjNakBA4lzINvMcL0+HYSAnWhlikusOcj1fFZG5BStAvkFK9kMQvV4rJbKMdJYgZvqleR3gfKiazjRqTn7hDYON4DNf0tKDaFD2/u3unDGJF09SCalMKTndA6mpFEZ+c4qYqGyQHdEpTN8c13QEQ0IpzMY9izo84HwE9hl2ck9orgJnp0tBSPZFvWq1u4YBQhz2gFKNmvV/U3TdMm4i2Jmk4gT+Y1oMmaWjFMPXK5RE7iYD+OImKRi8KDZmm4PDttpxtCxE7M03UKWSadJmT652onTzKsmwKZZJfrcs8pneiVkiZLAF8++dR6G+T92Q9qEbBlz2ytP8EP4rXScrHFuISAAAAAElFTkSuQmCC" alt="t_i^* = t_{i-1}^* + dt" title="t_i^* = t_{i-1}^* + dt" /></p>
+<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="t_{i-1}^* = \mathit{PT1} \cdot ln\left(\frac{1}{1 - \frac{P_{eng_{i - 1}}}{P_{fld\ stat}(n_i)}}\right)" title="t_{i-1}^* = \mathit{PT1} \cdot ln\left(\frac{1}{1 - \frac{P_{eng_{i - 1}}}{P_{fld\ stat}(n_i)}}\right)" /></p>
 </div>
-<div id="engine-whtc-correction" class="section level2">
-<h2>Engine: WHTC Correction</h2>
+<div id="engine-correction-factors" class="section level2">
+<h2>Engine: Correction Factors</h2>
 <div class="declaration">
 <p>In declaration mode the fuel consumption is corrected as follows:</p>
 <p>To prevent inconsistencies of regulated emissions and fuel consumption between the WHTC (hot part) test and the steady state fuel map as well as considering effects of transient engine behaviour a “WHTC correction factor” is used.</p>
 <p>Based on the target engine operation points of the particular engine in WHTC the fuel consumption is interpolated from the steady state fuel map (“backward calculation”) in each of the three parts of the WHTC separately. The measured specific fuel consumption per WHTC part in [g/kWh] is then divided by the interpolated specific fuel consumption to obtain the “WHTC correction factors” CF<sub>urb</sub> (Urban), CF<sub>rur</sub> (Rural), CF<sub>mot</sub> (Motorway). For the interpolation the same method as for interpolation in VECTO is applied (Delauney triangulation).</p>
 <p>All calculations regarding the brake specific fuel consumption from the interpolation as well as from the measurement and the three correction factors CF<sub>urb</sub>, CF<sub>rur</sub>, CF<sub>mot</sub> are fully implemented in the VECTO-Engine evaluation tool.</p>
 <p>The total correction factor CF<sub>total</sub> depends on the mission profile and is produced in VECTO by mission profile specific weighting factors listed in the table below.</p>
-<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="CF_{total} = CF_{urb} \cdot WF_{urb} + CF_{rur} \cdot WF_{rur} + CF_{mot} \cdot WF_{mot}" title="CF_{total} = CF_{urb} \cdot WF_{urb} + CF_{rur} \cdot WF_{rur} + CF_{mot} \cdot WF_{mot}" /></p>
+<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="CF_{total} = CF_{urb} \cdot WF_{urb} + CF_{rur} \cdot WF_{rur} + CF_{mot} \cdot WF_{mot}" title="CF_{total} = CF_{urb} \cdot WF_{urb} + CF_{rur} \cdot WF_{rur} + CF_{mot} \cdot WF_{mot}" /></p>
 <p>with the correction factor CF<sub>urb</sub>, CF<sub>rur</sub>, CF<sub>mot</sub> coming from the <a href="#engine-file">Engine</a>, and weighting factors WF<sub>urb</sub>, WF<sub>rur</sub>, WF<sub>mot</sub> predefined in the declaration data:</p>
 <table>
 <thead>
 <tr class="header">
-<th align="left">Mission profile</th>
-<th align="left">WF<sub>urb</sub></th>
-<th align="left">WF<sub>rur</sub></th>
-<th align="left">WF<sub>mot</sub></th>
+<th>Mission profile</th>
+<th>WF<sub>urb</sub></th>
+<th>WF<sub>rur</sub></th>
+<th>WF<sub>mot</sub></th>
 </tr>
 </thead>
 <tbody>
 <tr class="odd">
-<td align="left">Long haul</td>
-<td align="left">11%</td>
-<td align="left">0%</td>
-<td align="left">89%</td>
+<td>Long haul</td>
+<td>11%</td>
+<td>0%</td>
+<td>89%</td>
 </tr>
 <tr class="even">
-<td align="left">Regional delivery</td>
-<td align="left">17%</td>
-<td align="left">30%</td>
-<td align="left">53%</td>
+<td>Regional delivery</td>
+<td>17%</td>
+<td>30%</td>
+<td>53%</td>
 </tr>
 <tr class="odd">
-<td align="left">Urban delivery</td>
-<td align="left">69%</td>
-<td align="left">27%</td>
-<td align="left">4%</td>
+<td>Urban delivery</td>
+<td>69%</td>
+<td>27%</td>
+<td>4%</td>
 </tr>
 <tr class="even">
-<td align="left">Municipial utility</td>
-<td align="left">98%</td>
-<td align="left">0%</td>
-<td align="left">2%</td>
+<td>Municipial utility</td>
+<td>98%</td>
+<td>0%</td>
+<td>2%</td>
 </tr>
 <tr class="odd">
-<td align="left">Construction</td>
-<td align="left">62%</td>
-<td align="left">32%</td>
-<td align="left">6%</td>
+<td>Construction</td>
+<td>62%</td>
+<td>32%</td>
+<td>6%</td>
 </tr>
 <tr class="even">
-<td align="left">Citybus</td>
-<td align="left">100%</td>
-<td align="left">0%</td>
-<td align="left">0%</td>
+<td>Citybus</td>
+<td>100%</td>
+<td>0%</td>
+<td>0%</td>
 </tr>
 <tr class="odd">
-<td align="left">Interurban bus</td>
-<td align="left">45%</td>
-<td align="left">36%</td>
-<td align="left">19%</td>
+<td>Interurban bus</td>
+<td>45%</td>
+<td>36%</td>
+<td>19%</td>
 </tr>
 <tr class="even">
-<td align="left">Coach</td>
-<td align="left">0%</td>
-<td align="left">22%</td>
-<td align="left">78%</td>
+<td>Coach</td>
+<td>0%</td>
+<td>22%</td>
+<td>78%</td>
 </tr>
 </tbody>
 </table>
-<p>In order to balance the trade-off between emissions and fuel consumption during cold and hot starting conditions an additional balancing factor <img style="vertical-align:middle" src="data:image/png;base64,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" alt="CF_{C/H}" title="CF_{C/H}" /> is determined from the overall specific fuel consumption over the cold start and hot start WHTC test. This value is part of the output from the engine component tool.</p>
-<p>The WHTC-corrected fuel consumption is then calculated with: <img style="vertical-align:middle" src="data:image/png;base64,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" alt="FC_{whtc} = FC \cdot CF_{total} \cdot CF_{C/H}" title="FC_{whtc} = FC \cdot CF_{total} \cdot CF_{C/H}" /></p>
+<p>In order to balance the trade-off between emissions and fuel consumption during cold and hot starting conditions an additional balancing factor <img style="vertical-align:middle" src="data:image/png;base64,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" alt="CF_{C/H}" title="CF_{C/H}" /> is determined from the overall specific fuel consumption over the cold start and hot start WHTC test. Additional correction factors considered are regarding the net calorific value of the fuel (<img style="vertical-align:middle" src="data:image/png;base64,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" alt="CF_{NCV}" title="CF_{NCV}" />) and exhaust after-treatment systems (<img style="vertical-align:middle" src="data:image/png;base64,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" alt="CF_{RegPer}" title="CF_{RegPer}" />). This values are part of the output from the engine component tool.</p>
+<p>The WHTC-corrected fuel consumption is then calculated with: <img style="vertical-align:middle" src="data:image/png;base64,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" alt="FC_{whtc} = FC \cdot CF_{total} \cdot CF_{C/H} \cdot CF_{RegPer} \cdot CF_{NCV}" title="FC_{whtc} = FC \cdot CF_{total} \cdot CF_{C/H} \cdot CF_{RegPer} \cdot CF_{NCV}" /></p>
 </div>
 <div class="engineering">
 <p>In engineering mode a single correction is applied by Vecto. The fuel consumption interpolated from the FC map is multiplied by the engineering correction factor.</p>
-<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="FC_{whtc} = FC \cdot CF_{Engineering}" title="FC_{whtc} = FC \cdot CF_{Engineering}" /></p>
+<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="FC_{whtc} = FC \cdot CF_{Engineering}" title="FC_{whtc} = FC \cdot CF_{Engineering}" /></p>
+</div>
+</div>
+<div id="engine-torque-and-engine-speed-limitations" class="section level2">
+<h2>Engine Torque and Engine Speed Limitations</h2>
+<p>The engine’s maximum speed and maximum torque may be limited by either the gearbox (due to mechanical constraints) or the vehicle control. Engine torque limitations are modeled by limiting the engine full-load curve to the defined maximum torque, i.e., the original engine full-load curve is cropped at the defined maximum torque for a certain gear. Limits regarding the gearbox’ maximum input speed are modeled by intersecting (and limiting) the upshift line with the max. input speed. In the last gear, where no upshifts are possible, the engine speed is limited to the gearbox’ maximum input speed.</p>
+<p>Gear shift polygons are calculated by VECTO based on the overall (i.e. from gearbox and vehicle control) cropped engine fullload curve.</p>
+<div class="engineering">
+<p>In Engineering Mode, speed and torque limits can be defined and will be effective for every gear.</p>
+</div>
+<div class="declaration">
+<p>In Declaration Mode, the following rules restrict the limitations of engine torque:</p>
+<h3 id="transmission-input-speed-limitations">Transmission Input-Speed Limitations</h3>
+<ul>
+<li>Applicable for every gear</li>
+</ul>
+<h3 id="transmission-torque-limitations">Transmission Torque Limitations</h3>
+<ul>
+<li>For higher 50% of gears (i.e., gears 7 to 12 for a 12-gear transmission):
+<ul>
+<li>Transmissions max torque &gt; 90% of engine max torque: max. torque limitation <em>not</em> applicable (VECTO extrapolates loss-maps)</li>
+<li>Transmissions max torque &lt;= 90% of engine max torque: max. torque limitation applicable</li>
+</ul></li>
+<li>For lower 50% of gears (i.e., gears 1 to 6 for a 12-gear transmission):
+<ul>
+<li>Transmission torque limit is always applicable</li>
+</ul></li>
+</ul>
+<h3 id="vehicle-defined-torque-limitations">Vehicle defined Torque Limitations</h3>
+<ul>
+<li>For higher 50% of gears (i.e., gears 7 to 12 for a 12-gear transmission):
+<ul>
+<li>Torque limit &gt; 95% of engine max torque: max. torque limitation <em>not</em> applicable (VECTO extrapolates loss-maps)</li>
+<li>Torque limit &lt;= 90% of engine max torque: max. torque limitation applicable</li>
+</ul></li>
+<li>For lower 50% of gears (i.e., gears 1 to 6 for a 12-gear transmission):
+<ul>
+<li>Torque limit is <em>not</em> applicable</li>
+</ul></li>
+</ul>
 </div>
 </div>
 <div id="transmission-losses" class="section level2">
 <h2>Transmission Losses</h2>
-<p>Every transmission component uses the following formula for calculating the torques at input and output side of the component:</p>
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T_{loss}) * r_{gear}" title="T_{output} = (T_{input} - T_{loss}) * r_{gear}" /></p>
+<p>Every transmission component (gearbox, angledrive, axlegear, …) uses the following formula for calculating the torques at input and output side of the component:</p>
+<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="T_{output} = (T_{input} - T_{loss}) * r_{gear}" title="T_{output} = (T_{input} - T_{loss}) * r_{gear}" /></p>
 <p>with:</p>
 <ul>
 <li>T<sub>output</sub> … Output torque</li>
@@ -3054,8 +3167,8 @@ Example: “Gears\Gear1.vtlm” points to the “Gears” subdirectory of the Ge
 <li>Angledrive (see <a href="#vehicle-editor">Vehicle</a>)</li>
 </ul>
 </div>
-<div id="at-gearbox-model" class="section level2">
-<h2>AT Gearbox Model</h2>
+<div id="gearbox-at-gearbox-model" class="section level2">
+<h2>Gearbox: AT Gearbox Model</h2>
 <p>Vecto supports both, AT gearboxes with serial torque converter and AT gearboxes with power split. Internally, both gearbox types are simulated using a power train architecture with the torque converter in series.</p>
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 <h4>Power-shift loss computation</h4>
-<p>Model parameters: shift time (<img style="vertical-align:middle" src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAA8AAAARCAIAAACNaGH2AAAABmJLR0QA/wD/AP+gvaeTAAABcElEQVQokY2SvYrCQBRGb8wWMjamEVGwMJUgJIUglhb2YmOXzk6w8CFS2PoGQoqUAUHJC4iWgiBYaSNREpLoiMPItciuCrtmPdXAfFzO/REQEX6glBJC4D2JxysIgnq9PplMPkpblsUYq1arH6UXi0Umk5EkKSb9BQDT6dT3/eVymc1mTdOUJKnRaPxd+3a7hWFIKXVdt1gsxhQGAEBERByNRqqquq6LsSQ+l352uV6vS6XSPxpRl57n7fd7TdMAgDF2PB5zuVz0vdvt5vP55XIpl8uqqgIiGoahKEokrev6bDaLLDnn7Xbb933OuaZpp9Pp2ySVShFCxuMxIj4WZNv2drtdrVbn8zmfzyeTSQERGWP9fp9zrihKp9MRRTFKU0pbrZbjOISQwWBQq9Xg3bA458PhkFK62WyazWav13tO8De2bZum6TiOLMuFQqFSqQCA8HqxrzDGDMNIp9OHw+F6vXa73bh0RBiGoig+jv4O+dj8oUqg308AAAAASUVORK5CYII=" alt="t_s" title="t_s" />), inertia factor (<img style="vertical-align:middle" src="data:image/png;base64,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" alt="f_I" title="f_I" />)</p>
+<p>Model parameters: shift time (<img style="vertical-align:middle" src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAwAAAAPBAMAAAAizzN6AAAALVBMVEX///8AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADAOrOgAAAADnRSTlMAIjK7Zu+Jzd1EqxB2VLVGHJMAAAAJcEhZcwAADsQAAA7EAZUrDhsAAABLSURBVAgdY2BgVGAAAWYHMMUnAKZUwaRaRQqYNgGTDA/BFGcAmGJbAKaYHXYynPVm4FA4wJhwiIE3RYDx8QSwxBawMmUGsLItdxQA0mENSf2esYkAAAAASUVORK5CYII=" alt="t_s" title="t_s" />), inertia factor (<img style="vertical-align:middle" src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQBAMAAADt3eJSAAAAMFBMVEX///8AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAv3aB7AAAAD3RSTlMAEJl2u1Tdic1EZu8yqyJi4sUJAAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAaElEQVQIHWNgYGAQMgISIOAaBKEZP0JoBtYEqEBZ+wQIi2UBhGbgPsDAd9sAyJEHYrAB04AML5CsLRD/AzEuMzDwbAAxMhkYuBxAjA8MDLxATYycQB7QBAbu5RMY+PQLGBjYF4OkGRgA7ugP0piSfWQAAAAASUVORK5CYII=" alt="f_I" title="f_I" />)</p>
 <div class="figure">
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" alt="Engine speed, clutch speed during power-shift" />
 <p class="caption">Engine speed, clutch speed during power-shift</p>
 </div>
-<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="T_{PS,loss} = |(T_{GBX,in} + T_{inertia}) * \Delta\omega_F| * t_s / dt" title="T_{PS,loss} = |(T_{GBX,in} + T_{inertia}) * \Delta\omega_F| * t_s / dt" /></p>
-<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="T_{inertia} = f_I * I_{engine} * \Delta\omega_I / dt" title="T_{inertia} = f_I * I_{engine} * \Delta\omega_I / dt" /></p>
-<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="\Delta\omega_I = \omega_{engine,1} - \omega_{engine,2}" title="\Delta\omega_I = \omega_{engine,1} - \omega_{engine,2}" /></p>
-<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="\Delta\omega_F = (\omega_{engine,1} - \omega_{engine,1^*}) / 2" title="\Delta\omega_F = (\omega_{engine,1} - \omega_{engine,1^*}) / 2" /></p>
+<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="T_{PS,loss} = |T_{GBX,in} * \Delta\omega_F| * t_s / dt" title="T_{PS,loss} = |T_{GBX,in} * \Delta\omega_F| * t_s / dt" /></p>
+<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="\Delta\omega_I = \omega_{engine,1} - \omega_{engine,2}" title="\Delta\omega_I = \omega_{engine,1} - \omega_{engine,2}" /></p>
+<p><img style="vertical-align:middle" src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAPMAAAAUBAMAAACqmRY2AAAAMFBMVEX///8AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAv3aB7AAAAD3RSTlMAEN27iTKZIkSrVGbNdu/XjO1iAAAACXBIWXMAAA7EAAAOxAGVKw4bAAADNElEQVRIDa1WTUgUYRh+Zmd3Z51x180g0lD0JgWxIHYTBqkQRBrypBCuJNStRaMkOkyHYsWEJYqICEYo8VAwBwtMrD0UXVeyLGRhCToKGnlIiHrfWd1vZneWbaUH9vue93n/vm9+vh2gBiS7RkA9bi1eT3S4nuBasVLSiSiOTJsdu8rwqYp+MHmW0xQdKxdNp8Bh3Zn8h6y/fEC1kfOCKS2u7DKTQts8+UP7n7caiFrURkbAwD3uF8Ipnvwhp/z1A6qhDCXOImbjHFdIYZTqjxA7y6YXMVqaRdcoiX9AlRruzAIZYyw4uzYh01p0Mp+z5gW1DpKiZr2yv6WT7FPDHbxFBu9c4nsdiSO0A8Wk3Ycxubn2jrTwI4ZObAKYggIkie/j6T4BJgWlJ7dYQ0iqXuJKokg7aRsWUTlHg0q/bh4T0PjCtpEtQK0tei5gCwnxEtf6mA51E3qdSlxDQBJ0saPIqXUDszwPc/QbNTV+2+YgW4iwWEI7d70KVbQruZjQygT2agjBxZQO3LhOdgFooUnlTTv7kbMNCOt01jSlHE1ccLrXGYzjCKL5Q2szl6DmE9FMW/+rFPKrlOxpvVcjv+r4X3zEV4lTonlaN7Ve6qeEAvCFphlE6U1bSKfTs7vh/vvH79Kz/jlLDhfo5Rqf7lv4gB51pMkYwLxUsDutnaAtG88ozNO6WIMc7FeT7VqglVN6VMNpfZouMr9cCZoup+eB2B/GD+Vk7k0XsIScqy9ROlImNrVvZujEAobwAF2hjJINJRqM86/N8tbFGuRgf8Acxk1O4UynNT3PfKQoSafpLxI9eOKxyJBojQw1yY9GAdvRXNCO5mKgVRM8u3YUdrC/KZ7HAKdwptOaJzpIgwaTSnyvkM4UlVBGMnsiD81CoxE4JhvTU8M4StvwaU0O9sfwHp02pdymzFt8rxkzfIz64trPVLke3hMGlpGQHmPlLYLrMlrs4LIt5yJX1svjwQ7yaxtbGExxCmX24s5vrsx/mhcqMqoJ5Z8Kza5Ay8UrqNQhJD47GPypMFakdY+asSZyJEvwCvYyqgutVVDPueiSa9Lghi5i9vciFBcbXHQZlouX6F/naMWp8gjwxwAAAABJRU5ErkJggg==" alt="\Delta\omega_F = (\omega_{engine,1} - \omega_{engine,1^*}) / 2" title="\Delta\omega_F = (\omega_{engine,1} - \omega_{engine,1^*}) / 2" /></p>
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 </div>
 </div>
-<div id="gear-shift-model-mt-amt" class="section level2">
-<h2>Gear Shift Model (MT, AMT)</h2>
+<div id="gearbox-gear-shift-model" class="section level2">
+<h2>Gearbox: Gear Shift Model</h2>
 <p>The Gear Shift Model is based on shift curves that define the engine speed for up- and down- shifting as a function of engine torque. As soon as the engine operation point passes one of the shift curves a gear change is initiated.</p>
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@@ -3136,41 +3248,136 @@ Example: “Gears\Gear1.vtlm” points to the “Gears” subdirectory of the Ge
 
 </div>
 </div>
-<div id="generic-shift-conditions" class="section level3">
-<h3>Generic shift conditions</h3>
+</div>
+<div id="gearbox-mt-and-amt-gearshift-rules" class="section level2">
+<h2>Gearbox: MT and AMT Gearshift Rules</h2>
+<p>This section describes the gearshift rules for manual and automatic manual transmission models. When a gearshift is triggered, gears may be skipped for both MT and AMT gearboxes (see <a href="#gearbox-gear-shift-model">Gearbox: Gear Shift Model</a>). Early Upshift (see <a href="#gearbox-gear-shift-model">Gearbox: Gear Shift Model</a>) is only enabled for AMT gearboxes.</p>
+<div id="shift-polygons-in-declaration-mode-according-to-acea-whitebook-2016" class="section level3">
+<h3>Shift Polygons in Declaration Mode (According to ACEA Whitebook 2016)</h3>
+<div id="computation-of-characteristic-points" class="section level4">
+<h4>1. Computation of Characteristic Points</h4>
+<div class="figure">
+<img 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" />
+
+</div>
+</div>
+<div id="definition-of-shift-lines" class="section level4">
+<h4>2. Definition of Shift Lines</h4>
+<div class="figure">
+<img 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" />
+
+</div>
+</div>
+<div id="exception-1-margin-to-max-torque-line-downshift" class="section level4">
+<h4>3. Exception 1: Margin to Max-Torque line (Downshift)</h4>
+<div class="figure">
+<img 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" />
+
+</div>
+<p>Note: Line L1 is shiftet parallel so that it satisfies the max-torque margin condition, not intersected.</p>
+</div>
+<div id="exception-2-minimal-distance-between-downshift-and-upshift-lines" class="section level4">
+<h4>4. Exception 2: Minimal Distance between Downshift and Upshift Lines</h4>
+<div class="figure">
+<img 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" />
+
+</div>
+</div>
+<div id="final-gearshift-lines-example" class="section level4">
+<h4>5. Final Gearshift Lines (Example)</h4>
+<div class="figure">
+<img 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" />
+
+</div>
+<p>If the gearbox defines a maximum input speed for certain gears the upshift line may further be intersected and limited to the gear’s maximum input speed.</p>
+</div>
+</div>
+<div id="upshift-rules" class="section level3">
+<h3>Upshift rules</h3>
 <ul>
-<li>Only allow upshifts if the vehicle is not decelerating <strong>and</strong> the estimated acceleration in the next gear is higher than a certain threshold (default: 0.1 m/s²)</li>
-<li>Do not allow downshifts with less time than a certain amount after an upshift (default 10 s)</li>
-<li>Do not allow upshifts with less time than a certain amount after an downshift (default 10 s)</li>
+<li>If the engine speed is higher than the gearbox maximum input speed or engine n_{95h} speed (whichever is lower)</li>
+<li>If all of the following conditions are met:
+<ul>
+<li>The vehicle is not decelerating AND</li>
+<li>Engine operation point (speed and torque) is above (right of) the upshift line AND</li>
+<li>The acceleration in the next gear is above a certain threshold if the driver is accelerating, i.e., acceleration_nextGear &gt; min(Min. acceleration threshold, Driver acceleration) AND</li>
+<li>The last gearshift was longer than a certain threshold (Declaration Mode: 2s) ago AND</li>
+<li>The last downshift was longer than a certain threshold (Declaration Mode: 10s) ago</li>
+</ul></li>
 </ul>
-<dl>
-<dt>Parameters in <a href="#gearbox-file">Gearbox File</a>:</dt>
-<dd><ul>
-<li><strong>DownshiftAferUpshiftDelay</strong></li>
-<li><strong>UpshiftAfterDownshiftDelay</strong></li>
-<li><strong>UpshiftMinAcceleration</strong></li>
+</div>
+<div id="upshift-rules-for-early-upshift-amt-only" class="section level3">
+<h3>Upshift rules for Early Upshift (AMT only)</h3>
+<ul>
+<li>If the engine speed is higher than the gearbox maximum input speed or engine n_{95h} speed (whichever is lower)</li>
+<li>If all of the following conditions are met:
+<ul>
+<li>The vehicle is not decelerating AND</li>
+<li>The engine’s operating point (speed and torque) is above the downshift line with a certain margin to the max. torque (torque reserve) AND</li>
+<li>The acceleration in the next gear is above a certain threshold if the driver is accelerating, i.e., acceleration_nextGear &gt; min(Min. acceleration threshold, Driver acceleration) AND</li>
+<li>The last gearshift was longer than a certain threshold (Declaration Mode: 2s) ago AND</li>
+<li>The last downshift was longer than a certain threshold (Declaration Mode: 10s) ago</li>
+</ul></li>
 </ul>
-</dd>
-</dl>
 </div>
+<div id="downshift" class="section level3">
+<h3>Downshift</h3>
+<ul>
+<li>If the engine speed is lower than the engine’s idle speed</li>
+<li>If all of the following conditions are met:
+<ul>
+<li>Engine operation point (speed and torque) is below (left of) the downshift line AND</li>
+<li>The last gearshift was longer than a certain threshold (Declaration Mode: 2s) ago AND</li>
+<li>The last upshift was longer than a certain threshold (Declaration Mode: 10s) ago</li>
+</ul></li>
+</ul>
 </div>
-<div id="gear-shift-rules-for-at-gearbox" class="section level2">
-<h2>Gear shift rules for AT Gearbox</h2>
-<p>The gear shift rules for automatic gearboxes differ from AMT and MT.</p>
-<p>Gears are shifted sequentially:</p>
+<div id="shift-parameters" class="section level3">
+<h3>Shift parameters</h3>
+<ul>
+<li>Gearshift lines</li>
+<li>Engine idle speed</li>
+<li>Gearbox max. input speed</li>
+<li>Engien n_{95h} speed</li>
+<li>Min. time between two consecutive gearshifts.</li>
+<li>Min. time for upshift after a downshift</li>
+<li>Min. time for downshift after an upshift</li>
+<li>Min. acceleration in next gear</li>
+</ul>
+<p>For Skip Gears and Early Upshift the following additional parameters are required:</p>
+<ul>
+<li>Torque reserve</li>
+</ul>
+</div>
+</div>
+<div id="gearbox-at-gearshift-rules" class="section level2">
+<h2>Gearbox: AT Gearshift Rules</h2>
+<p>For AT gearboxes neither Skip Gears nor Early upshift (see <a href="#gearbox-gear-shift-model">Gearbox: Gear Shift Model</a>) are enabled. Moreover, the gears are shifted strictly sequentially:</p>
 <ul>
 <li>1C -&gt; 1L -&gt; 2L -&gt; … (torque converter only in 1st gear)</li>
 <li>1C -&gt; 2C -&gt; 2L -&gt; … (torque converter in 1st and 2nd gear)</li>
 </ul>
-<div id="upshift-rules" class="section level3">
+<div id="shift-polygons-in-declaration-mode" class="section level3">
+<h3>Shift Polygons in Declaration Mode</h3>
+<p>The shift lines in Declaration Mode only apply for trucks and gearboxes with serial torque converter (AT-S).</p>
+<ul>
+<li>Downshift line: 700 rpm (torque independent, vertical line)</li>
+<li>Upshift line: 900 rpm for torque &lt;= 0; 1150 rpm @ Engine’s maximum torque</li>
+</ul>
+<div class="figure">
+<img 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" />
+
+</div>
+</div>
+<div id="upshift-rules-1" class="section level3">
 <h3>Upshift rules</h3>
 <ul>
-<li>If engine speed and engine torque in the next gear (see shift sequence) is above the upshift line AND</li>
+<li>If engine speed and engine torque in the <em>next gear</em> (see shift sequence) is above the upshift line AND</li>
 <li>the acceleration in the next gear is above a certain threshold if the driver is accelerating, i.e., acceleration_nextGear &gt; min(Min. acceleration threshold, Driver acceleration)</li>
 </ul>
 <p>The user interface allows to enter two acceleration thresholds, one for locked gear to locked gear shifts and another vor converter to locked gear shifts. For converter to converter shifts the latter threshold applies.</p>
 </div>
-<div id="downshift" class="section level3">
+<div id="downshift-1" class="section level3">
 <h3>Downshift</h3>
 <ul>
 <li><p>If the engine speed falls below the downshift curve</p></li>
@@ -3181,12 +3388,13 @@ Example: “Gears\Gear1.vtlm” points to the “Gears” subdirectory of the Ge
 </ul></li>
 </ul>
 </div>
-<div id="shift-parameters" class="section level3">
+<div id="shift-parameters-1" class="section level3">
 <h3>Shift parameters</h3>
 <ul>
 <li>Min. time between two consecutive gearshifts.</li>
 <li>Min. acceleration after gearshift for L to L gear shifts</li>
-<li>Min. acceleration after gearhsift for C to L (and C to C) gear shifts</li>
+<li>Min. acceleration after gearhsift for C to L gear shifts</li>
+<li>Min. acceleration after gearshift for C to C geear shifts</li>
 </ul>
 </div>
 </div>
@@ -3208,8 +3416,8 @@ Example: “Gears\Gear1.vtlm” points to the “Gears” subdirectory of the Ge
 <li><strong>Input Torque</strong> (T<sub>ref(ν)</sub>) is the input torque (over ν) for a specific reference engine speed (see below).</li>
 </ul>
 <p>The Input Torque at  reference engine speed is needed to calculate the actual engine torque using this formula:</p>
-<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="T_{in} = T_{ref}(v) \cdot ( \frac{n_{in}}{n_{ref}} )^{2}" title="T_{in} = T_{ref}(v) \cdot ( \frac{n_{in}}{n_{ref}} )^{2}" /></p>
-<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="\mu(\nu) = \frac{T_{out}}{T_{in}}" title="\mu(\nu) = \frac{T_{out}}{T_{in}}" /></p>
+<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="T_{in} = T_{ref}(v) \cdot ( \frac{n_{in}}{n_{ref}} )^{2}" title="T_{in} = T_{ref}(v) \cdot ( \frac{n_{in}}{n_{ref}} )^{2}" /></p>
+<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="\mu(\nu) = \frac{T_{out}}{T_{in}}" title="\mu(\nu) = \frac{T_{out}}{T_{in}}" /></p>
 <p>with:</p>
 <ul>
 <li>T<sub>in</sub> = engine torque [Nm]</li>
@@ -3222,8 +3430,8 @@ Example: “Gears\Gear1.vtlm” points to the “Gears” subdirectory of the Ge
 <div class="declaration">
 <p>In declaration mode, the torque converter for drag points is automatically appended by VECTO. Input data with a speed ratio ≥ 1 are skipped.</p>
 <p>For Power Split transmissions, where the torque converter characteristics already contains the gearbox losses and transmission ratio, the generic drag points are adapted according to the following equations:</p>
-<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="\nu_{PS} = \nu / ratio_i" title="\nu_{PS} = \nu / ratio_i" /></p>
-<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="\mu_{PS} = \mu \cdot ratio_i" title="\mu_{PS} = \mu \cdot ratio_i" /></p>
+<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="\nu_{PS} = \nu / ratio_i" title="\nu_{PS} = \nu / ratio_i" /></p>
+<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="\mu_{PS} = \mu \cdot ratio_i" title="\mu_{PS} = \mu \cdot ratio_i" /></p>
 </div>
 <div class="engineering">
 <p>In engineering mode the drag points for the torque converter can be specified. If so, the input data has to cover at least the speed ratio up to 2.2.</p>
@@ -3260,54 +3468,54 @@ Example: “Gears\Gear1.vtlm” points to the “Gears” subdirectory of the Ge
 </colgroup>
 <tbody>
 <tr class="odd">
-<td align="left">n<sub>Eng</sub></td>
-<td align="left">Calculated engine speed.</td>
-<td align="left">[1/min]</td>
+<td>n<sub>Eng</sub></td>
+<td>Calculated engine speed.</td>
+<td>[1/min]</td>
 </tr>
 <tr class="even">
-<td align="left">TransRatio</td>
-<td align="left">Speed ratio between auxiliary and engine. <a href="#auxiliary-input-file-.vaux">Defined in the Auxiliary File</a>.</td>
-<td align="left">[-]</td>
+<td>TransRatio</td>
+<td>Speed ratio between auxiliary and engine. <a href="#auxiliary-input-file-.vaux">Defined in the Auxiliary File</a>.</td>
+<td>[-]</td>
 </tr>
 <tr class="odd">
-<td align="left">n<sub>aux</sub></td>
-<td align="left">Auxiliary speed</td>
-<td align="left">[1/min]</td>
+<td>n<sub>aux</sub></td>
+<td>Auxiliary speed</td>
+<td>[1/min]</td>
 </tr>
 <tr class="even">
-<td align="left">P<sub>supply</sub></td>
-<td align="left">Effective supply power demand. <a href="#driving-cycles">Defined in the driving cycle</a>.</td>
-<td align="left">[kW]</td>
+<td>P<sub>supply</sub></td>
+<td>Effective supply power demand. <a href="#driving-cycles">Defined in the driving cycle</a>.</td>
+<td>[kW]</td>
 </tr>
 <tr class="odd">
-<td align="left">EffToSply</td>
-<td align="left">Consumer efficiency. <a href="#auxiliary-input-file-.vaux">Defined in the Auxiliary File</a>.</td>
-<td align="left">[-]</td>
+<td>EffToSply</td>
+<td>Consumer efficiency. <a href="#auxiliary-input-file-.vaux">Defined in the Auxiliary File</a>.</td>
+<td>[-]</td>
 </tr>
 <tr class="even">
-<td align="left">P<sub>auxOut</sub></td>
-<td align="left">Auxiliary output power</td>
-<td align="left">[kW]</td>
+<td>P<sub>auxOut</sub></td>
+<td>Auxiliary output power</td>
+<td>[kW]</td>
 </tr>
 <tr class="odd">
-<td align="left">EffMap</td>
-<td align="left">Auxiliary efficiency map. <a href="#auxiliary-input-file-.vaux">Defined in the Auxiliary File</a>.</td>
-<td align="left">[kW] = f( [1/min], [kW] )</td>
+<td>EffMap</td>
+<td>Auxiliary efficiency map. <a href="#auxiliary-input-file-.vaux">Defined in the Auxiliary File</a>.</td>
+<td>[kW] = f( [1/min], [kW] )</td>
 </tr>
 <tr class="even">
-<td align="left">P<sub>auxIn</sub></td>
-<td align="left">Auxiliary input power</td>
-<td align="left">[kW]</td>
+<td>P<sub>auxIn</sub></td>
+<td>Auxiliary input power</td>
+<td>[kW]</td>
 </tr>
 <tr class="odd">
-<td align="left">EffToEng</td>
-<td align="left">Efficiency of auxiliary (belt/gear) drive. <a href="#auxiliary-input-file-.vaux">Defined in the Auxiliary File</a>.</td>
-<td align="left">[-]</td>
+<td>EffToEng</td>
+<td>Efficiency of auxiliary (belt/gear) drive. <a href="#auxiliary-input-file-.vaux">Defined in the Auxiliary File</a>.</td>
+<td>[-]</td>
 </tr>
 <tr class="even">
-<td align="left">P<sub>aux</sub></td>
-<td align="left">Mechanical auxiliary power demand at the crank shaft</td>
-<td align="left">[kW]</td>
+<td>P<sub>aux</sub></td>
+<td>Mechanical auxiliary power demand at the crank shaft</td>
+<td>[kW]</td>
 </tr>
 </tbody>
 </table>
@@ -3329,42 +3537,42 @@ Example: “Gears\Gear1.vtlm” points to the “Gears” subdirectory of the Ge
 <table>
 <thead>
 <tr class="header">
-<th align="left">&lt;t&gt;</th>
-<th align="left">&lt;Pwheel&gt;</th>
-<th align="left">&lt;gear&gt;</th>
-<th align="left">&lt;n&gt;</th>
+<th>&lt;t&gt;</th>
+<th>&lt;Pwheel&gt;</th>
+<th>&lt;gear&gt;</th>
+<th>&lt;n&gt;</th>
 </tr>
 </thead>
 <tbody>
 <tr class="odd">
-<td align="left">1</td>
-<td align="left">0.0</td>
-<td align="left">0</td>
-<td align="left">560.0</td>
+<td>1</td>
+<td>0.0</td>
+<td>0</td>
+<td>560.0</td>
 </tr>
 <tr class="even">
-<td align="left">2</td>
-<td align="left">0.0</td>
-<td align="left">0</td>
-<td align="left">560.0</td>
+<td>2</td>
+<td>0.0</td>
+<td>0</td>
+<td>560.0</td>
 </tr>
 <tr class="odd">
-<td align="left">3</td>
-<td align="left">14.0</td>
-<td align="left">1</td>
-<td align="left">593.2</td>
+<td>3</td>
+<td>14.0</td>
+<td>1</td>
+<td>593.2</td>
 </tr>
 <tr class="even">
-<td align="left">4</td>
-<td align="left">51.9</td>
-<td align="left">1</td>
-<td align="left">705.5</td>
+<td>4</td>
+<td>51.9</td>
+<td>1</td>
+<td>705.5</td>
 </tr>
 <tr class="odd">
-<td align="left">…</td>
-<td align="left">…</td>
-<td align="left">…</td>
-<td align="left">…</td>
+<td>…</td>
+<td>…</td>
+<td>…</td>
+<td>…</td>
 </tr>
 </tbody>
 </table>
@@ -3389,50 +3597,50 @@ Example: “Gears\Gear1.vtlm” points to the “Gears” subdirectory of the Ge
 </colgroup>
 <thead>
 <tr class="header">
-<th align="left">Technology</th>
-<th align="left">Power Loss [W]</th>
+<th>Technology</th>
+<th>Power Loss [W]</th>
 </tr>
 </thead>
 <tbody>
 <tr class="odd">
-<td align="left">None</td>
-<td align="left">0</td>
+<td>None</td>
+<td>0</td>
 </tr>
 <tr class="even">
-<td align="left">only the drive shaft of the PTO - shift claw, synchronizer, sliding gearwheel</td>
-<td align="left">50</td>
+<td>only the drive shaft of the PTO - shift claw, synchronizer, sliding gearwheel</td>
+<td>50</td>
 </tr>
 <tr class="odd">
-<td align="left">only the drive shaft of the PTO - multi-disc clutch</td>
-<td align="left">1000</td>
+<td>only the drive shaft of the PTO - multi-disc clutch</td>
+<td>1000</td>
 </tr>
 <tr class="even">
-<td align="left">only the drive shaft of the PTO - multi-disc clutch, oil pump</td>
-<td align="left">2000</td>
+<td>only the drive shaft of the PTO - multi-disc clutch, oil pump</td>
+<td>2000</td>
 </tr>
 <tr class="odd">
-<td align="left">drive shaft and/or up to 2 gear wheels - shift claw, synchronizer, sliding gearwheel</td>
-<td align="left">300</td>
+<td>drive shaft and/or up to 2 gear wheels - shift claw, synchronizer, sliding gearwheel</td>
+<td>300</td>
 </tr>
 <tr class="even">
-<td align="left">drive shaft and/or up to 2 gear wheels - multi-disc clutch</td>
-<td align="left">1500</td>
+<td>drive shaft and/or up to 2 gear wheels - multi-disc clutch</td>
+<td>1500</td>
 </tr>
 <tr class="odd">
-<td align="left">drive shaft and/or up to 2 gear wheels - multi-disc clutch, oil pump</td>
-<td align="left">3000</td>
+<td>drive shaft and/or up to 2 gear wheels - multi-disc clutch, oil pump</td>
+<td>3000</td>
 </tr>
 <tr class="even">
-<td align="left">drive shaft and/or more than 2 gear wheels - shift claw, synchronizer, sliding gearwheel</td>
-<td align="left">600</td>
+<td>drive shaft and/or more than 2 gear wheels - shift claw, synchronizer, sliding gearwheel</td>
+<td>600</td>
 </tr>
 <tr class="odd">
-<td align="left">drive shaft and/or more than 2 gear wheels - multi-disc clutch</td>
-<td align="left">2000</td>
+<td>drive shaft and/or more than 2 gear wheels - multi-disc clutch</td>
+<td>2000</td>
 </tr>
 <tr class="even">
-<td align="left">drive shaft and/or more than 2 gear wheels - multi-disc clutch, oil pump</td>
-<td align="left">4000</td>
+<td>drive shaft and/or more than 2 gear wheels - multi-disc clutch, oil pump</td>
+<td>4000</td>
 </tr>
 </tbody>
 </table>
@@ -3452,7 +3660,7 @@ Example: “Gears\Gear1.vtlm” points to the “Gears” subdirectory of the Ge
 <p>A PTO cycle can only be activated during a stop phase in the driving cycle. When the PTO cycle is activated VECTO exhibits the following behavior: Half of the stop time is added before the pto cycle, and the other half is added afterwards. If the halved stop times are still longer than 3 seconds, they get divided even further to 3 intervals in order to achieve a more appealing visualization in the output (falling down, low baseline, rising again). It is recommended to have a stop time of at least 2 seconds.</p>
 <p>The following image shows the behavior of running PTO cycles during a normal driving cycle:</p>
 <div class="figure">
-<img src="data:image/png;base64,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" 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" />
 
 </div>
 <ol>
@@ -3472,13 +3680,43 @@ Example: “Gears\Gear1.vtlm” points to the “Gears” subdirectory of the Ge
 <ul>
 <li><a href="#json">JSON</a></li>
 <li><a href="#csv">Vecto CSV</a></li>
+<li><a href="#xml-job-file-declaration-mode">XML</a></li>
 </ul>
 <p><strong>Output:</strong></p>
 <ul>
 <li><a href="#json">JSON</a></li>
 <li><a href="#csv">Vecto CSV</a></li>
-<li>PDF (for Declaration Report)</li>
+<li><a href="#xml-declaration-report">XML Declaration Report</a></li>
+</ul>
+<div id="xml-job-file-declaration-mode" class="section level2">
+<h2>XML Job-File (Declaration Mode)</h2>
+<div class="declaration">
+<p>For vehicle certification the input data (vehicle data) has to be provided in XML format. Please see the following resources for more information:</p>
+<ul>
+<li><a href="VectoInputDeclaration.1.0.pdf">XML schema description</a></li>
+<li><a href="../XML/XSD/VectoInput.xsd">XML schema diagram</a></li>
+<li><a href="../XML/Examples/vecto_vehicle-sample.xml">Example of an XML Job-File</a></li>
+</ul>
+</div>
+</div>
+<div id="xml-declaration-report" class="section level2">
+<h2>XML Declaration Report</h2>
+<div class="declaration">
+<p>In Declaration Mode VECTO generates two reports according to the Technical Annex for vehicle certification:</p>
+<ul>
+<li>Manufacturer Report</li>
+<li>Customer Information Report</li>
 </ul>
+<p>Both reports are in XML format and contain a description of the simulated vehicle and the simulation results. The format is described in the following resources:</p>
+<ul>
+<li><a href="../XML/XSD/VectoOutputManufacturer.xsd">Manufacturer Report XML schema</a></li>
+<li><a href="VectoOutputDeclaration.pdf">Manufacturer Report XML schema diagram</a></li>
+<li><a href="../XML/XSD/VectoOutputCustomer.xsd">Customer Report XML schema</a></li>
+<li><a href="VectoOutputDeclarationCustomer.pdf">Customer Report XML schema diagram</a></li>
+</ul>
+<p>Sample reports are distributed with the generic vehicles.</p>
+</div>
+</div>
 <div id="csv" class="section level2">
 <h2>CSV</h2>
 <p>Many data files in Vecto use CSV (Comma Separated Values) as common file format. They consist of a header which defines the columns and data entries which are separated by a comma (“,”).</p>
@@ -3492,28 +3730,28 @@ Example: “Gears\Gear1.vtlm” points to the “Gears” subdirectory of the Ge
 </colgroup>
 <tbody>
 <tr class="odd">
-<td align="left"><strong>Header:</strong></td>
-<td align="left">Vecto CSV needs exactly one header line with the definition of the columns at the beginning of the file. <br>Columns can be surrounded with “&lt;” and “&gt;” to mark them as identifiers (which makes them position independent). In Vecto 3.x every column is seen as identifier, regardless of “&lt;&gt;”. <br>Columns may be succeded with unit information (enclosed in “[&quot; and “]”) for documentation purposes.</td>
+<td><strong>Header:</strong></td>
+<td>Vecto CSV needs exactly one header line with the definition of the columns at the beginning of the file. <br>Columns can be surrounded with “&lt;” and “&gt;” to mark them as identifiers (which makes them position independent). In Vecto 3.x every column is seen as identifier, regardless of “&lt;&gt;”. <br>Columns may be succeded with unit information (enclosed in “[&quot; and “]”) for documentation purposes.</td>
 </tr>
 <tr class="even">
-<td align="left"><strong>Column Separator:</strong></td>
-<td align="left"><strong>,</strong> (Comma. Separates the columns of a data line.)</td>
+<td><strong>Column Separator:</strong></td>
+<td><strong>,</strong> (Comma. Separates the columns of a data line.)</td>
 </tr>
 <tr class="odd">
-<td align="left"><strong>Decimal-Mark:</strong></td>
-<td align="left"><strong>.</strong> (Dot. Splits numbers into integer part and decimal part.)</td>
+<td><strong>Decimal-Mark:</strong></td>
+<td><strong>.</strong> (Dot. Splits numbers into integer part and decimal part.)</td>
 </tr>
 <tr class="even">
-<td align="left"><strong>Thousand-Separator:</strong></td>
-<td align="left">Vecto CSV does not allow a thousand-separator.</td>
+<td><strong>Thousand-Separator:</strong></td>
+<td>Vecto CSV does not allow a thousand-separator.</td>
 </tr>
 <tr class="odd">
-<td align="left"><strong>Comments:</strong></td>
-<td align="left"><strong>#</strong> (Number sign. Declares text coming afterwards in the current line as comment.)</td>
+<td><strong>Comments:</strong></td>
+<td><strong>#</strong> (Number sign. Declares text coming afterwards in the current line as comment.)</td>
 </tr>
 <tr class="even">
-<td align="left"><strong>Whitespace:</strong></td>
-<td align="left">Whitespaces between columns will be stripped away. Therefore it is possible to align the columns for better readability, if desired.</td>
+<td><strong>Whitespace:</strong></td>
+<td>Whitespaces between columns will be stripped away. Therefore it is possible to align the columns for better readability, if desired.</td>
 </tr>
 </tbody>
 </table>
@@ -4073,26 +4311,26 @@ Example: “Gears\Gear1.vtlm” points to the “Gears” subdirectory of the Ge
 </colgroup>
 <thead>
 <tr class="header">
-<th align="left">Identifier</th>
-<th align="left">Unit</th>
-<th align="left">Description</th>
+<th>Identifier</th>
+<th>Unit</th>
+<th>Description</th>
 </tr>
 </thead>
 <tbody>
 <tr class="odd">
-<td align="left"><strong>t</strong></td>
-<td align="left">[s]</td>
-<td align="left">The time during the pto cycle. Must always be increasing. Gets shifted to begin with 0 by VECTO (if thats not already the case).</td>
+<td><strong>t</strong></td>
+<td>[s]</td>
+<td>The time during the pto cycle. Must always be increasing. Gets shifted to begin with 0 by VECTO (if thats not already the case).</td>
 </tr>
 <tr class="even">
-<td align="left"><strong>Engine speed</strong></td>
-<td align="left">[rpm]</td>
-<td align="left">Actual engine speed</td>
+<td><strong>Engine speed</strong></td>
+<td>[rpm]</td>
+<td>Actual engine speed</td>
 </tr>
 <tr class="odd">
-<td align="left"><strong>PTO Torque</strong></td>
-<td align="left">[Nm]</td>
-<td align="left">The torque at the PTO consumer (including prop-shaft losses if applicable) as measured by the DIN test converted to torque at engine speed</td>
+<td><strong>PTO Torque</strong></td>
+<td>[Nm]</td>
+<td>The torque at the PTO consumer (including prop-shaft losses if applicable) as measured by the DIN test converted to torque at engine speed</td>
 </tr>
 </tbody>
 </table>
@@ -4118,21 +4356,21 @@ Example: “Gears\Gear1.vtlm” points to the “Gears” subdirectory of the Ge
 </colgroup>
 <thead>
 <tr class="header">
-<th align="left">Identifier</th>
-<th align="left">Unit</th>
-<th align="left">Description</th>
+<th>Identifier</th>
+<th>Unit</th>
+<th>Description</th>
 </tr>
 </thead>
 <tbody>
 <tr class="odd">
-<td align="left"><strong>Engine speed</strong></td>
-<td align="left">[rpm]</td>
-<td align="left">The engine speed.</td>
+<td><strong>Engine speed</strong></td>
+<td>[rpm]</td>
+<td>The engine speed.</td>
 </tr>
 <tr class="even">
-<td align="left"><strong>PTO Torque</strong></td>
-<td align="left">[Nm]</td>
-<td align="left">Torque Loss by the PTO consumer (including prop-shaft losses if applicable) as measured by the DIN test converted to torque at engine speed</td>
+<td><strong>PTO Torque</strong></td>
+<td>[Nm]</td>
+<td>Torque Loss by the PTO consumer (including prop-shaft losses if applicable) as measured by the DIN test converted to torque at engine speed</td>
 </tr>
 </tbody>
 </table>
@@ -4801,51 +5039,56 @@ CycleTime,UnknownCycleName,3600</code></pre>
 </colgroup>
 <thead>
 <tr class="header">
-<th align="left">Identifier</th>
-<th align="left">Unit</th>
-<th align="left">Description</th>
+<th>Identifier</th>
+<th>Unit</th>
+<th>Description</th>
 </tr>
 </thead>
 <tbody>
 <tr class="odd">
-<td align="left"><strong>s</strong></td>
-<td align="left">[m]</td>
-<td align="left">Traveled distance. Must always be increasing.</td>
+<td><strong>s</strong></td>
+<td>[m]</td>
+<td>Traveled distance. Must always be increasing.</td>
 </tr>
 <tr class="even">
-<td align="left"><strong>v</strong></td>
-<td align="left">[km/h]</td>
-<td align="left">The target vehicle velocity. Must be &gt;= 0 km/h.</td>
+<td><strong>v</strong></td>
+<td>[km/h]</td>
+<td>The target vehicle velocity. Must be &gt;= 0 km/h.</td>
 </tr>
 <tr class="odd">
-<td align="left"><strong>stop</strong></td>
-<td align="left">[s]</td>
-<td align="left">Stopping Time. Defines the time span the vehicle is standing still (time the vehicle spending in a stop phase). After this time, the vehicle tries to accelerate to &lt;v&gt;. If during a stop phase the PTO cycle is activated, it is recommended to use at least 2 seconds of stop time (which gets split up: first half before the PTO cycle, second half after the PTO cycle).</td>
+<td><strong>stop</strong></td>
+<td>[s]</td>
+<td>Stopping Time. Defines the time span the vehicle is standing still (time the vehicle spending in a stop phase). After this time, the vehicle tries to accelerate to &lt;v&gt;. If during a stop phase the PTO cycle is activated, it is recommended to use at least 2 seconds of stop time (which gets split up: first half before the PTO cycle, second half after the PTO cycle).</td>
 </tr>
 <tr class="even">
-<td align="left"><em>Padd</em></td>
-<td align="left">[kW]</td>
-<td align="left">Additional auxiliary power demand. This power demand will be directly added to the engine power in addition to possible other auxiliaries. Must be &gt;= 0 kW.</td>
+<td><em>Padd</em></td>
+<td>[kW]</td>
+<td>Additional auxiliary power demand. This power demand will be directly added to the engine power in addition to possible other auxiliaries. Must be &gt;= 0 kW.</td>
 </tr>
 <tr class="odd">
-<td align="left"><em>grad</em></td>
-<td align="left">[%]</td>
-<td align="left">The road gradient.</td>
+<td><em>grad</em></td>
+<td>[%]</td>
+<td>The road gradient.</td>
 </tr>
 <tr class="even">
-<td align="left"><em>PTO</em></td>
-<td align="left">[0/1]</td>
-<td align="left">“0”=disabled or “1”=enabled. If at a vehicle stop (defined by target velocity=0) “1” is specified, the PTO cycle as specified in the <em>.vptoc–File is simulated. This is described in the <a href="#pto">PTO Simulation Model</a> The PTO activation is added to the simulation time in the middle of the stopping time as defined by the cycle parameter “stop”. The PTO Cycle can be specified in the <a href="#vehicle-editor"><strong>Vehicle Editor</strong></a>. When PTO is activated it is recommended to use at least 2 seconds as stop time. | | </em>vair_res*</td>
+<td><em>PTO</em></td>
+<td>[0/1]</td>
+<td>“0”=disabled or “1”=enabled. If at a vehicle stop (defined by target velocity=0) “1” is specified, the PTO cycle as specified in the *.vptoc–File is simulated. This is described in the <a href="#pto">PTO Simulation Model</a> The PTO activation is added to the simulation time in the middle of the stopping time as defined by the cycle parameter “stop”. The PTO Cycle can be specified in the <a href="#vehicle-editor"><strong>Vehicle Editor</strong></a>. When PTO is activated it is recommended to use at least 2 seconds as stop time.</td>
 </tr>
 <tr class="odd">
-<td align="left"><em>vair_beta</em></td>
-<td align="left">[°]</td>
-<td align="left">Wind Yaw Angle for cross wind correction. Only required if <a href="#cross-wind-correction"><strong>Cross Wind Correction</strong></a> is set to <strong>Vair &amp; Beta Input</strong>.</td>
+<td><em>vair_res</em></td>
+<td>[km/h]</td>
+<td>Air speed relative to vehicle for cross wind correction. Only required if <a href="#cross-wind-correction"><strong>Cross Wind Correction</strong></a> is set to <strong>Vair &amp; Beta Input</strong>.</td>
 </tr>
 <tr class="even">
-<td align="left"><em>Aux_ID</em></td>
-<td align="left">[kW]</td>
-<td align="left">Auxiliary Supply Power. Can be defined multiple times with different Identifiers. The supply power input for each auxiliary defined in the <a href="#job-file">.vecto file</a> with the corresponding ID. ID’s are not case sensitive and must only contain letters and numbers [a-z,A-Z,0-9]. Must be &gt;= 0 kW.</td>
+<td><em>vair_beta</em></td>
+<td>[°]</td>
+<td>Wind Yaw Angle for cross wind correction. Only required if <a href="#cross-wind-correction"><strong>Cross Wind Correction</strong></a> is set to <strong>Vair &amp; Beta Input</strong>.</td>
+</tr>
+<tr class="odd">
+<td><em>Aux_ID</em></td>
+<td>[kW]</td>
+<td>Auxiliary Supply Power. Can be defined multiple times with different Identifiers. The supply power input for each auxiliary defined in the <a href="#job-file">.vecto file</a> with the corresponding ID. ID’s are not case sensitive and must only contain letters and numbers [a-z,A-Z,0-9]. Must be &gt;= 0 kW.</td>
 </tr>
 </tbody>
 </table>
@@ -4853,41 +5096,41 @@ CycleTime,UnknownCycleName,3600</code></pre>
 <table>
 <thead>
 <tr class="header">
-<th align="left">&lt;s&gt; [m]</th>
-<th align="left">&lt;v&gt; [km/h]</th>
-<th align="left">&lt;stop&gt; [s]</th>
-<th align="left">&lt;grad&gt; [%]</th>
-<th align="left">&lt;Padd&gt; [kW]</th>
+<th>&lt;s&gt; [m]</th>
+<th>&lt;v&gt; [km/h]</th>
+<th>&lt;stop&gt; [s]</th>
+<th>&lt;grad&gt; [%]</th>
+<th>&lt;Padd&gt; [kW]</th>
 </tr>
 </thead>
 <tbody>
 <tr class="odd">
-<td align="left">0</td>
-<td align="left">10</td>
-<td align="left">10</td>
-<td align="left">2.95</td>
-<td align="left">1.5</td>
+<td>0</td>
+<td>10</td>
+<td>10</td>
+<td>2.95</td>
+<td>1.5</td>
 </tr>
 <tr class="even">
-<td align="left">1</td>
-<td align="left">20</td>
-<td align="left">0</td>
-<td align="left">2.97</td>
-<td align="left">1.3</td>
+<td>1</td>
+<td>20</td>
+<td>0</td>
+<td>2.97</td>
+<td>1.3</td>
 </tr>
 <tr class="odd">
-<td align="left">2</td>
-<td align="left">35</td>
-<td align="left">0</td>
-<td align="left">3.03</td>
-<td align="left">1.3</td>
+<td>2</td>
+<td>35</td>
+<td>0</td>
+<td>3.03</td>
+<td>1.3</td>
 </tr>
 <tr class="even">
-<td align="left">3</td>
-<td align="left">50</td>
-<td align="left">0</td>
-<td align="left">2.99</td>
-<td align="left">1.3</td>
+<td>3</td>
+<td>50</td>
+<td>0</td>
+<td>2.99</td>
+<td>1.3</td>
 </tr>
 </tbody>
 </table>
@@ -4905,46 +5148,46 @@ CycleTime,UnknownCycleName,3600</code></pre>
 </colgroup>
 <thead>
 <tr class="header">
-<th align="left">Identifier</th>
-<th align="left">Unit</th>
-<th align="left">Description</th>
+<th>Identifier</th>
+<th>Unit</th>
+<th>Description</th>
 </tr>
 </thead>
 <tbody>
 <tr class="odd">
-<td align="left"><strong>t</strong></td>
-<td align="left">[s]</td>
-<td align="left">The absolute time. Must always be increasing.</td>
+<td><strong>t</strong></td>
+<td>[s]</td>
+<td>The absolute time. Must always be increasing.</td>
 </tr>
 <tr class="even">
-<td align="left"><strong>v</strong></td>
-<td align="left">[km/h]</td>
-<td align="left">The actual velocity of the vehicle. Must be &gt;= 0 km/h.</td>
+<td><strong>v</strong></td>
+<td>[km/h]</td>
+<td>The actual velocity of the vehicle. Must be &gt;= 0 km/h.</td>
 </tr>
 <tr class="odd">
-<td align="left"><em>Padd</em></td>
-<td align="left">[kW]</td>
-<td align="left">Additional auxiliary power demand. This power demand will be directly added to the engine power in addition to possible other auxiliaries. Must be &gt;= 0 kW.</td>
+<td><em>Padd</em></td>
+<td>[kW]</td>
+<td>Additional auxiliary power demand. This power demand will be directly added to the engine power in addition to possible other auxiliaries. Must be &gt;= 0 kW.</td>
 </tr>
 <tr class="even">
-<td align="left"><em>grad</em></td>
-<td align="left">[%]</td>
-<td align="left">The road gradient.</td>
+<td><em>grad</em></td>
+<td>[%]</td>
+<td>The road gradient.</td>
 </tr>
 <tr class="odd">
-<td align="left"><em>vair_res</em></td>
-<td align="left">[km/h]</td>
-<td align="left">Air speed relative to vehicle for cross wind correction. Only required if <a href="#cross-wind-correction"><strong>Cross Wind Correction</strong></a> is set to <strong>Vair &amp; Beta Input</strong>.</td>
+<td><em>vair_res</em></td>
+<td>[km/h]</td>
+<td>Air speed relative to vehicle for cross wind correction. Only required if <a href="#cross-wind-correction"><strong>Cross Wind Correction</strong></a> is set to <strong>Vair &amp; Beta Input</strong>.</td>
 </tr>
 <tr class="even">
-<td align="left"><em>vair_beta</em></td>
-<td align="left">[°]</td>
-<td align="left">Wind Yaw Angle for cross wind correction. Only required if <a href="#cross-wind-correction"><strong>Cross Wind Correction</strong></a> is set to <strong>Vair &amp; Beta Input</strong>.</td>
+<td><em>vair_beta</em></td>
+<td>[°]</td>
+<td>Wind Yaw Angle for cross wind correction. Only required if <a href="#cross-wind-correction"><strong>Cross Wind Correction</strong></a> is set to <strong>Vair &amp; Beta Input</strong>.</td>
 </tr>
 <tr class="odd">
-<td align="left"><em>Aux_ID</em></td>
-<td align="left">[kW]</td>
-<td align="left">Auxiliary Supply Power. Can be defined multiple times with different Identifiers. The supply power input for each auxiliary defined in the <a href="#job-editor">.vecto file</a> with the corresponding ID. ID’s are not case sensitive and must only contain letters and numbers [a-z,A-Z,0-9]. Must be &gt;= 0 kW.</td>
+<td><em>Aux_ID</em></td>
+<td>[kW]</td>
+<td>Auxiliary Supply Power. Can be defined multiple times with different Identifiers. The supply power input for each auxiliary defined in the <a href="#job-editor">.vecto file</a> with the corresponding ID. ID’s are not case sensitive and must only contain letters and numbers [a-z,A-Z,0-9]. Must be &gt;= 0 kW.</td>
 </tr>
 </tbody>
 </table>
@@ -4952,36 +5195,36 @@ CycleTime,UnknownCycleName,3600</code></pre>
 <table>
 <thead>
 <tr class="header">
-<th align="left">&lt;t&gt; [s]</th>
-<th align="left">&lt;v&gt; [km/h]</th>
-<th align="left">&lt;grad&gt; [%]</th>
-<th align="left">&lt;Padd&gt; [kW]</th>
+<th>&lt;t&gt; [s]</th>
+<th>&lt;v&gt; [km/h]</th>
+<th>&lt;grad&gt; [%]</th>
+<th>&lt;Padd&gt; [kW]</th>
 </tr>
 </thead>
 <tbody>
 <tr class="odd">
-<td align="left">0</td>
-<td align="left">0</td>
-<td align="left">2.95</td>
-<td align="left">1.5</td>
+<td>0</td>
+<td>0</td>
+<td>2.95</td>
+<td>1.5</td>
 </tr>
 <tr class="even">
-<td align="left">1</td>
-<td align="left">0.6</td>
-<td align="left">2.97</td>
-<td align="left">1.3</td>
+<td>1</td>
+<td>0.6</td>
+<td>2.97</td>
+<td>1.3</td>
 </tr>
 <tr class="odd">
-<td align="left">2</td>
-<td align="left">1.2</td>
-<td align="left">3.03</td>
-<td align="left">1.3</td>
+<td>2</td>
+<td>1.2</td>
+<td>3.03</td>
+<td>1.3</td>
 </tr>
 <tr class="even">
-<td align="left">3</td>
-<td align="left">2.4</td>
-<td align="left">2.99</td>
-<td align="left">1.3</td>
+<td>3</td>
+<td>2.4</td>
+<td>2.99</td>
+<td>1.3</td>
 </tr>
 </tbody>
 </table>
@@ -4999,56 +5242,56 @@ CycleTime,UnknownCycleName,3600</code></pre>
 </colgroup>
 <thead>
 <tr class="header">
-<th align="left">Identifier</th>
-<th align="left">Unit</th>
-<th align="left">Description</th>
+<th>Identifier</th>
+<th>Unit</th>
+<th>Description</th>
 </tr>
 </thead>
 <tbody>
 <tr class="odd">
-<td align="left"><strong>t</strong></td>
-<td align="left">[s]</td>
-<td align="left">The absolute time. Must always be increasing.</td>
+<td><strong>t</strong></td>
+<td>[s]</td>
+<td>The absolute time. Must always be increasing.</td>
 </tr>
 <tr class="even">
-<td align="left"><strong>v</strong></td>
-<td align="left">[km/h]</td>
-<td align="left">The actual velocity of the vehicle. Must be &gt;= 0 km/h.</td>
+<td><strong>v</strong></td>
+<td>[km/h]</td>
+<td>The actual velocity of the vehicle. Must be &gt;= 0 km/h.</td>
 </tr>
 <tr class="odd">
-<td align="left"><strong>gear</strong></td>
-<td align="left">[-]</td>
-<td align="left">The current gear. Must be &gt;= 0 (0 is neutral).</td>
+<td><strong>gear</strong></td>
+<td>[-]</td>
+<td>The current gear. Must be &gt;= 0 (0 is neutral).</td>
 </tr>
 <tr class="even">
-<td align="left"><strong>tc_active</strong></td>
-<td align="left">[-]</td>
-<td align="left">For AT gearboxes mandatory! Indicate if the torque converter is active or locked. Depending on the gearbox type only allowed for 1st gear or 1st and 2nd gear.</td>
+<td><strong>tc_active</strong></td>
+<td>[-]</td>
+<td>For AT gearboxes mandatory! Indicate if the torque converter is active or locked. Depending on the gearbox type only allowed for 1st gear or 1st and 2nd gear.</td>
 </tr>
 <tr class="odd">
-<td align="left"><em>Padd</em></td>
-<td align="left">[kW]</td>
-<td align="left">Additional auxiliary power demand. This power demand will be directly added to the engine power in addition to possible other auxiliaries. Must be &gt;= 0 kW.</td>
+<td><em>Padd</em></td>
+<td>[kW]</td>
+<td>Additional auxiliary power demand. This power demand will be directly added to the engine power in addition to possible other auxiliaries. Must be &gt;= 0 kW.</td>
 </tr>
 <tr class="even">
-<td align="left"><em>grad</em></td>
-<td align="left">[%]</td>
-<td align="left">The road gradient.</td>
+<td><em>grad</em></td>
+<td>[%]</td>
+<td>The road gradient.</td>
 </tr>
 <tr class="odd">
-<td align="left"><em>vair_res</em></td>
-<td align="left">[km/h]</td>
-<td align="left">Air speed relative to vehicle for cross wind correction. Only required if <a href="#cross-wind-correction"><strong>Cross Wind Correction</strong></a> is set to <strong>Vair &amp; Beta Input</strong>.</td>
+<td><em>vair_res</em></td>
+<td>[km/h]</td>
+<td>Air speed relative to vehicle for cross wind correction. Only required if <a href="#cross-wind-correction"><strong>Cross Wind Correction</strong></a> is set to <strong>Vair &amp; Beta Input</strong>.</td>
 </tr>
 <tr class="even">
-<td align="left"><em>vair_beta</em></td>
-<td align="left">[°]</td>
-<td align="left">Wind Yaw Angle for cross wind correction. Only required if <a href="#cross-wind-correction"><strong>Cross Wind Correction</strong></a> is set to <strong>Vair &amp; Beta Input</strong>.</td>
+<td><em>vair_beta</em></td>
+<td>[°]</td>
+<td>Wind Yaw Angle for cross wind correction. Only required if <a href="#cross-wind-correction"><strong>Cross Wind Correction</strong></a> is set to <strong>Vair &amp; Beta Input</strong>.</td>
 </tr>
 <tr class="odd">
-<td align="left"><em>Aux_ID</em></td>
-<td align="left">[kW]</td>
-<td align="left">Auxiliary Supply Power. Can be defined multiple times with different Identifiers. The supply power input for each auxiliary defined in the <a href="#job-editor">.vecto file</a> with the corresponding ID. ID’s are not case sensitive and must only contain letters and numbers [a-z,A-Z,0-9]. Must be &gt;= 0 kW.</td>
+<td><em>Aux_ID</em></td>
+<td>[kW]</td>
+<td>Auxiliary Supply Power. Can be defined multiple times with different Identifiers. The supply power input for each auxiliary defined in the <a href="#job-editor">.vecto file</a> with the corresponding ID. ID’s are not case sensitive and must only contain letters and numbers [a-z,A-Z,0-9]. Must be &gt;= 0 kW.</td>
 </tr>
 </tbody>
 </table>
@@ -5056,41 +5299,41 @@ CycleTime,UnknownCycleName,3600</code></pre>
 <table>
 <thead>
 <tr class="header">
-<th align="left">&lt;t&gt; [s]</th>
-<th align="left">&lt;v&gt; [km/h]</th>
-<th align="left">&lt;gear&gt; [-]</th>
-<th align="left">&lt;grad&gt; [%]</th>
-<th align="left">&lt;Padd&gt; [kW]</th>
+<th>&lt;t&gt; [s]</th>
+<th>&lt;v&gt; [km/h]</th>
+<th>&lt;gear&gt; [-]</th>
+<th>&lt;grad&gt; [%]</th>
+<th>&lt;Padd&gt; [kW]</th>
 </tr>
 </thead>
 <tbody>
 <tr class="odd">
-<td align="left">0</td>
-<td align="left">0</td>
-<td align="left">0</td>
-<td align="left">2.95</td>
-<td align="left">1.5</td>
+<td>0</td>
+<td>0</td>
+<td>0</td>
+<td>2.95</td>
+<td>1.5</td>
 </tr>
 <tr class="even">
-<td align="left">1</td>
-<td align="left">0.6</td>
-<td align="left">3</td>
-<td align="left">2.97</td>
-<td align="left">1.3</td>
+<td>1</td>
+<td>0.6</td>
+<td>3</td>
+<td>2.97</td>
+<td>1.3</td>
 </tr>
 <tr class="odd">
-<td align="left">2</td>
-<td align="left">1.2</td>
-<td align="left">3</td>
-<td align="left">3.03</td>
-<td align="left">1.3</td>
+<td>2</td>
+<td>1.2</td>
+<td>3</td>
+<td>3.03</td>
+<td>1.3</td>
 </tr>
 <tr class="even">
-<td align="left">3</td>
-<td align="left">2.4</td>
-<td align="left">3</td>
-<td align="left">2.99</td>
-<td align="left">1.3</td>
+<td>3</td>
+<td>2.4</td>
+<td>3</td>
+<td>2.99</td>
+<td>1.3</td>
 </tr>
 </tbody>
 </table>
@@ -5108,36 +5351,36 @@ CycleTime,UnknownCycleName,3600</code></pre>
 </colgroup>
 <thead>
 <tr class="header">
-<th align="left">Identifier</th>
-<th align="left">Unit</th>
-<th align="left">Quantity Description</th>
+<th>Identifier</th>
+<th>Unit</th>
+<th>Quantity Description</th>
 </tr>
 </thead>
 <tbody>
 <tr class="odd">
-<td align="left"><strong>t</strong></td>
-<td align="left">[s]</td>
-<td align="left">The absolute time. Must always be increasing.</td>
+<td><strong>t</strong></td>
+<td>[s]</td>
+<td>The absolute time. Must always be increasing.</td>
 </tr>
 <tr class="even">
-<td align="left"><strong>Pwheel</strong></td>
-<td align="left">[kW]</td>
-<td align="left">Power at the wheels.</td>
+<td><strong>Pwheel</strong></td>
+<td>[kW]</td>
+<td>Power at the wheels.</td>
 </tr>
 <tr class="odd">
-<td align="left"><strong>gear</strong></td>
-<td align="left">[-]</td>
-<td align="left">The current gear. Must be &gt;= 0 (0 is neutral).</td>
+<td><strong>gear</strong></td>
+<td>[-]</td>
+<td>The current gear. Must be &gt;= 0 (0 is neutral).</td>
 </tr>
 <tr class="even">
-<td align="left"><strong>n</strong></td>
-<td align="left">[rpm]</td>
-<td align="left">The actual engine speed. Must be &gt;= 0 rpm.</td>
+<td><strong>n</strong></td>
+<td>[rpm]</td>
+<td>The actual engine speed. Must be &gt;= 0 rpm.</td>
 </tr>
 <tr class="odd">
-<td align="left"><em>Padd</em></td>
-<td align="left">[kW]</td>
-<td align="left">Additional auxiliary power demand. This power demand will be directly added to the engine power. Must be &gt;= 0 kW.</td>
+<td><em>Padd</em></td>
+<td>[kW]</td>
+<td>Additional auxiliary power demand. This power demand will be directly added to the engine power. Must be &gt;= 0 kW.</td>
 </tr>
 </tbody>
 </table>
@@ -5145,41 +5388,41 @@ CycleTime,UnknownCycleName,3600</code></pre>
 <table>
 <thead>
 <tr class="header">
-<th align="left">&lt;t&gt; [s]</th>
-<th align="left">&lt;Pwheel&gt; [kW]</th>
-<th align="left">&lt;gear&gt; [-]</th>
-<th align="left">&lt;n&gt; [rpm]</th>
-<th align="left">&lt;Padd&gt; [kW]</th>
+<th>&lt;t&gt; [s]</th>
+<th>&lt;Pwheel&gt; [kW]</th>
+<th>&lt;gear&gt; [-]</th>
+<th>&lt;n&gt; [rpm]</th>
+<th>&lt;Padd&gt; [kW]</th>
 </tr>
 </thead>
 <tbody>
 <tr class="odd">
-<td align="left">0</td>
-<td align="left">0</td>
-<td align="left">0</td>
-<td align="left">600</td>
-<td align="left">1.5</td>
+<td>0</td>
+<td>0</td>
+<td>0</td>
+<td>600</td>
+<td>1.5</td>
 </tr>
 <tr class="even">
-<td align="left">1</td>
-<td align="left">4.003</td>
-<td align="left">3</td>
-<td align="left">950</td>
-<td align="left">1.3</td>
+<td>1</td>
+<td>4.003</td>
+<td>3</td>
+<td>950</td>
+<td>1.3</td>
 </tr>
 <tr class="odd">
-<td align="left">2</td>
-<td align="left">15.333</td>
-<td align="left">3</td>
-<td align="left">1200</td>
-<td align="left">1.3</td>
+<td>2</td>
+<td>15.333</td>
+<td>3</td>
+<td>1200</td>
+<td>1.3</td>
 </tr>
 <tr class="even">
-<td align="left">3</td>
-<td align="left">50.56</td>
-<td align="left">3</td>
-<td align="left">1400</td>
-<td align="left">1.3</td>
+<td>3</td>
+<td>50.56</td>
+<td>3</td>
+<td>1400</td>
+<td>1.3</td>
 </tr>
 </tbody>
 </table>
@@ -5197,36 +5440,36 @@ CycleTime,UnknownCycleName,3600</code></pre>
 </colgroup>
 <thead>
 <tr class="header">
-<th align="left">Identifier</th>
-<th align="left">Unit</th>
-<th align="left">Description</th>
+<th>Identifier</th>
+<th>Unit</th>
+<th>Description</th>
 </tr>
 </thead>
 <tbody>
 <tr class="odd">
-<td align="left"><strong>t</strong></td>
-<td align="left">[s]</td>
-<td align="left">The absolute time. Must always be increasing.</td>
+<td><strong>t</strong></td>
+<td>[s]</td>
+<td>The absolute time. Must always be increasing.</td>
 </tr>
 <tr class="even">
-<td align="left"><strong>n</strong></td>
-<td align="left">[rpm]</td>
-<td align="left">The actual engine speed. Must be &gt;= 0 rpm.</td>
+<td><strong>n</strong></td>
+<td>[rpm]</td>
+<td>The actual engine speed. Must be &gt;= 0 rpm.</td>
 </tr>
 <tr class="odd">
-<td align="left"><strong>Pe</strong></td>
-<td align="left">[kW]</td>
-<td align="left">The power at the output shaft of the engine. Either &lt;Pe&gt; or &lt;Me&gt; must be defined.</td>
+<td><strong>Pe</strong></td>
+<td>[kW]</td>
+<td>The power at the output shaft of the engine. Either &lt;Pe&gt; or &lt;Me&gt; must be defined.</td>
 </tr>
 <tr class="even">
-<td align="left"><strong>Me</strong></td>
-<td align="left">[Nm]</td>
-<td align="left">The torque at the output shaft of the engine. Either &lt;Pe&gt; or &lt;Me&gt; must be defined.</td>
+<td><strong>Me</strong></td>
+<td>[Nm]</td>
+<td>The torque at the output shaft of the engine. Either &lt;Pe&gt; or &lt;Me&gt; must be defined.</td>
 </tr>
 <tr class="odd">
-<td align="left"><em>Padd</em></td>
-<td align="left">[kW]</td>
-<td align="left">Additional auxiliary power demand. This power demand will be directly added to the engine power. Must be &gt;= 0 kW.</td>
+<td><em>Padd</em></td>
+<td>[kW]</td>
+<td>Additional auxiliary power demand. This power demand will be directly added to the engine power. Must be &gt;= 0 kW.</td>
 </tr>
 </tbody>
 </table>
@@ -5234,36 +5477,36 @@ CycleTime,UnknownCycleName,3600</code></pre>
 <table>
 <thead>
 <tr class="header">
-<th align="left">&lt;t&gt; [s]</th>
-<th align="left">&lt;n&gt; [rpm]</th>
-<th align="left">&lt;Pe&gt; [kW]</th>
-<th align="left">&lt;Padd&gt; [kW]</th>
+<th>&lt;t&gt; [s]</th>
+<th>&lt;n&gt; [rpm]</th>
+<th>&lt;Pe&gt; [kW]</th>
+<th>&lt;Padd&gt; [kW]</th>
 </tr>
 </thead>
 <tbody>
 <tr class="odd">
-<td align="left">0</td>
-<td align="left">600</td>
-<td align="left">0</td>
-<td align="left">1.5</td>
+<td>0</td>
+<td>600</td>
+<td>0</td>
+<td>1.5</td>
 </tr>
 <tr class="even">
-<td align="left">1</td>
-<td align="left">950</td>
-<td align="left">25.3</td>
-<td align="left">1.3</td>
+<td>1</td>
+<td>950</td>
+<td>25.3</td>
+<td>1.3</td>
 </tr>
 <tr class="odd">
-<td align="left">2</td>
-<td align="left">1200</td>
-<td align="left">65.344</td>
-<td align="left">1.3</td>
+<td>2</td>
+<td>1200</td>
+<td>65.344</td>
+<td>1.3</td>
 </tr>
 <tr class="even">
-<td align="left">3</td>
-<td align="left">1400</td>
-<td align="left">110.1</td>
-<td align="left">1.3</td>
+<td>3</td>
+<td>1400</td>
+<td>110.1</td>
+<td>1.3</td>
 </tr>
 </tbody>
 </table>
@@ -5301,7 +5544,7 @@ CycleTime,UnknownCycleName,3600</code></pre>
 <h2>Modal Results (.vmod)</h2>
 <p>Modal results are only created if enabled in the <a href="#main-form">Options</a> tab. One file is created for each calculation and stored in the same directory as the .vecto file.</p>
 <p>In Vecto 3 the structure of the modal data output has been revised and re-structured. Basically for every powertrain component the .vmod file contains the power at the input shaft and the individual power losses for every component. For the engine the power, torque and engine speed at the output shaft is given along with the internal power and torque used for computing the fuel consumption. See <a href="#powertrain-and-components-structure">Powertrain and Components Structure</a> for schematics how the powertrain looks like and which positions in the powertrain the values represent.</p>
-<p>Every line in the .vmod file represents the simulation interval from time - dt/2 to time + dt/2. All values represent the average power/torque/angular velocity during this simulation interval. If a certain power value can be described as function of the vehicle’s acceleration the average power is calculated by <img style="vertical-align:middle" src="data:image/png;base64,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" alt="P_{avg} = \frac{1}{simulation interval} \int{P(t) dt}" title="P_{avg} = \frac{1}{simulation interval} \int{P(t) dt}" />. <strong>Note:</strong> Columns for the torque converter operating point represent the torque/angular speed at the end of the simulation interval!</p>
+<p>Every line in the .vmod file represents the simulation interval from time - dt/2 to time + dt/2. All values represent the average power/torque/angular velocity during this simulation interval. If a certain power value can be described as function of the vehicle’s acceleration the average power is calculated by <img style="vertical-align:middle" src="data:image/png;base64,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" alt="P_{avg} = \frac{1}{simulation interval} \int{P(t) dt}" title="P_{avg} = \frac{1}{simulation interval} \int{P(t) dt}" />. <strong>Note:</strong> Columns for the torque converter operating point represent the torque/angular speed at the end of the simulation interval!</p>
 <p>The following table lists the columns in the .vmod file:</p>
 <p><strong><em>Quantities:</em></strong></p>
 <table style="width:94%;">
@@ -5312,356 +5555,356 @@ CycleTime,UnknownCycleName,3600</code></pre>
 </colgroup>
 <thead>
 <tr class="header">
-<th align="left"><strong>Name</strong></th>
-<th align="left"><strong>Unit</strong></th>
-<th align="left"><strong>Description</strong></th>
+<th><strong>Name</strong></th>
+<th><strong>Unit</strong></th>
+<th><strong>Description</strong></th>
 </tr>
 </thead>
 <tbody>
 <tr class="odd">
-<td align="left">time</td>
-<td align="left">[s]</td>
-<td align="left">Absolute time. Timestamp at the middle of the current simulation interval [time - dt/2, time + dt/2]</td>
+<td>time</td>
+<td>[s]</td>
+<td>Absolute time. Timestamp at the middle of the current simulation interval [time - dt/2, time + dt/2]</td>
 </tr>
 <tr class="even">
-<td align="left">dt</td>
-<td align="left">[s]</td>
-<td align="left">Length of the current simulation interval</td>
+<td>dt</td>
+<td>[s]</td>
+<td>Length of the current simulation interval</td>
 </tr>
 <tr class="odd">
-<td align="left">dist</td>
-<td align="left">[m]</td>
-<td align="left">Distance the vehicle traveled at the end of the current simulation interval</td>
+<td>dist</td>
+<td>[m]</td>
+<td>Distance the vehicle traveled at the end of the current simulation interval</td>
 </tr>
 <tr class="even">
-<td align="left">v_act</td>
-<td align="left">[km/h]</td>
-<td align="left">Average vehicle speed in the current simulation interval</td>
+<td>v_act</td>
+<td>[km/h]</td>
+<td>Average vehicle speed in the current simulation interval</td>
 </tr>
 <tr class="odd">
-<td align="left">v_targ</td>
-<td align="left">[km/h]</td>
-<td align="left">Target speed</td>
+<td>v_targ</td>
+<td>[km/h]</td>
+<td>Target speed</td>
 </tr>
 <tr class="even">
-<td align="left">acc</td>
-<td align="left">[m/s^2]</td>
-<td align="left">Vehicle’s acceleration, constant during the current simulation interval</td>
+<td>acc</td>
+<td>[m/s^2]</td>
+<td>Vehicle’s acceleration, constant during the current simulation interval</td>
 </tr>
 <tr class="odd">
-<td align="left">grad</td>
-<td align="left">[%]</td>
-<td align="left">Road gradient</td>
+<td>grad</td>
+<td>[%]</td>
+<td>Road gradient</td>
 </tr>
 <tr class="even">
-<td align="left">Gear</td>
-<td align="left">[-]</td>
-<td align="left">Gear. “0” = clutch opened / neutral</td>
+<td>Gear</td>
+<td>[-]</td>
+<td>Gear. “0” = clutch opened / neutral</td>
 </tr>
 <tr class="odd">
-<td align="left">TC locked</td>
-<td align="left">0/1</td>
-<td align="left">For AT-Gearboxes: if the torque converter is locked or not</td>
+<td>TC locked</td>
+<td>0/1</td>
+<td>For AT-Gearboxes: if the torque converter is locked or not</td>
 </tr>
 <tr class="even">
-<td align="left">n_eng_avg</td>
-<td align="left">[1/min]</td>
-<td align="left">Average engine speed in the current simulation interval. Used for interpolation of the engine’s fuel consumption</td>
+<td>n_eng_avg</td>
+<td>[1/min]</td>
+<td>Average engine speed in the current simulation interval. Used for interpolation of the engine’s fuel consumption</td>
 </tr>
 <tr class="odd">
-<td align="left">T_eng_fcmap</td>
-<td align="left">[Nm]</td>
-<td align="left">Engine torque used for interpolation of the engine’s fuel consumption. T_eng_fcmap is the sum of torque demand on the output shaft, torque demand of the auxiliaries, and engine’s inertia torque</td>
+<td>T_eng_fcmap</td>
+<td>[Nm]</td>
+<td>Engine torque used for interpolation of the engine’s fuel consumption. T_eng_fcmap is the sum of torque demand on the output shaft, torque demand of the auxiliaries, and engine’s inertia torque</td>
 </tr>
 <tr class="even">
-<td align="left">Tq_full</td>
-<td align="left">[Nm]</td>
-<td align="left">Engine’s transient maximum torque (see <a href="#engine-transient-full-load">transient full load</a>)</td>
+<td>Tq_full</td>
+<td>[Nm]</td>
+<td>Engine’s transient maximum torque (see <a href="#engine-transient-full-load">transient full load</a>)</td>
 </tr>
 <tr class="odd">
-<td align="left">Tq_drag</td>
-<td align="left">[Nm]</td>
-<td align="left">Engine’s drag torque, interpolated from the full-load curve</td>
+<td>Tq_drag</td>
+<td>[Nm]</td>
+<td>Engine’s drag torque, interpolated from the full-load curve</td>
 </tr>
 <tr class="even">
-<td align="left">P_eng_fcmap</td>
-<td align="left">[kW]</td>
-<td align="left">Total power the engine has to provide, computed from n_eng_avg and T_eng_fcmap</td>
+<td>P_eng_fcmap</td>
+<td>[kW]</td>
+<td>Total power the engine has to provide, computed from n_eng_avg and T_eng_fcmap</td>
 </tr>
 <tr class="odd">
-<td align="left">P_eng_full</td>
-<td align="left">[kW]</td>
-<td align="left">Engine’s transient maximum power (see <a href="#engine-transient-full-load">transient full load</a>)</td>
+<td>P_eng_full</td>
+<td>[kW]</td>
+<td>Engine’s transient maximum power (see <a href="#engine-transient-full-load">transient full load</a>)</td>
 </tr>
 <tr class="even">
-<td align="left">P_eng_drag</td>
-<td align="left">[kW]</td>
-<td align="left">Engine’s drag power</td>
+<td>P_eng_drag</td>
+<td>[kW]</td>
+<td>Engine’s drag power</td>
 </tr>
 <tr class="odd">
-<td align="left">P_eng_inertia</td>
-<td align="left">[kW]</td>
-<td align="left">Power loss/gain due to the engine’s inertia</td>
+<td>P_eng_inertia</td>
+<td>[kW]</td>
+<td>Power loss/gain due to the engine’s inertia</td>
 </tr>
 <tr class="even">
-<td align="left">P_eng_out</td>
-<td align="left">[kW]</td>
-<td align="left">Power provided at the engine’s output shaft</td>
+<td>P_eng_out</td>
+<td>[kW]</td>
+<td>Power provided at the engine’s output shaft</td>
 </tr>
 <tr class="odd">
-<td align="left">P_clutch_loss</td>
-<td align="left">[kW]</td>
-<td align="left">Power loss in the clutch due to slipping when driving off</td>
+<td>P_clutch_loss</td>
+<td>[kW]</td>
+<td>Power loss in the clutch due to slipping when driving off</td>
 </tr>
 <tr class="even">
-<td align="left">P_clutch_out</td>
-<td align="left">[kW]</td>
-<td align="left">Power at the clutch’s out shaft. P_clutch_out = P_eng_out - P_clutch_loss</td>
+<td>P_clutch_out</td>
+<td>[kW]</td>
+<td>Power at the clutch’s out shaft. P_clutch_out = P_eng_out - P_clutch_loss</td>
 </tr>
 <tr class="odd">
-<td align="left">P_TC_out</td>
-<td align="left">[kW]</td>
-<td align="left">Power at the torque converter’s out shaft. P_TC_out = P_eng_out - P_TC_loss</td>
+<td>P_TC_out</td>
+<td>[kW]</td>
+<td>Power at the torque converter’s out shaft. P_TC_out = P_eng_out - P_TC_loss</td>
 </tr>
 <tr class="even">
-<td align="left">P_TC_loss</td>
-<td align="left">[kW]</td>
-<td align="left">Power loss in the torque converter</td>
+<td>P_TC_loss</td>
+<td>[kW]</td>
+<td>Power loss in the torque converter</td>
 </tr>
 <tr class="odd">
-<td align="left">P_aux</td>
-<td align="left">[kW]</td>
-<td align="left">Total power demand from the auxiliaries</td>
+<td>P_aux</td>
+<td>[kW]</td>
+<td>Total power demand from the auxiliaries</td>
 </tr>
 <tr class="even">
-<td align="left">P_gbx_in</td>
-<td align="left">[kW]</td>
-<td align="left">Power at the gearbox’ input shaft</td>
+<td>P_gbx_in</td>
+<td>[kW]</td>
+<td>Power at the gearbox’ input shaft</td>
 </tr>
 <tr class="odd">
-<td align="left">P_gbx_loss</td>
-<td align="left">[kW]</td>
-<td align="left">Power loss at the gearbox, interpolated from the loss-map + shift losses + inertia losses</td>
+<td>P_gbx_loss</td>
+<td>[kW]</td>
+<td>Power loss at the gearbox, interpolated from the loss-map + shift losses + inertia losses</td>
 </tr>
 <tr class="even">
-<td align="left">P_gbx_shift</td>
-<td align="left">[kW]</td>
-<td align="left">Power loss due to gearshifts (AT gearbox)</td>
+<td>P_gbx_shift</td>
+<td>[kW]</td>
+<td>Power loss due to gearshifts (AT gearbox)</td>
 </tr>
 <tr class="odd">
-<td align="left">P_gbx_inertia</td>
-<td align="left">[kW]</td>
-<td align="left">Power loss due to the gearbox’ inertia</td>
+<td>P_gbx_inertia</td>
+<td>[kW]</td>
+<td>Power loss due to the gearbox’ inertia</td>
 </tr>
 <tr class="even">
-<td align="left">P_ret_in</td>
-<td align="left">[kW]</td>
-<td align="left">Power at the retarder’s input shaft. P_ret_in = P_gbx_in - P_gbx_loss - P_gbx_inertia</td>
+<td>P_ret_in</td>
+<td>[kW]</td>
+<td>Power at the retarder’s input shaft. P_ret_in = P_gbx_in - P_gbx_loss - P_gbx_inertia</td>
 </tr>
 <tr class="odd">
-<td align="left">P_ret_loss</td>
-<td align="left">[kW]</td>
-<td align="left">Power loss at the retarder, interpolated from the loss-map.</td>
+<td>P_ret_loss</td>
+<td>[kW]</td>
+<td>Power loss at the retarder, interpolated from the loss-map.</td>
 </tr>
 <tr class="even">
-<td align="left">P_angle_in</td>
-<td align="left">[kW]</td>
-<td align="left">Power at the anglegear’s input shaft. Empty if no Anglegear is used.</td>
+<td>P_angle_in</td>
+<td>[kW]</td>
+<td>Power at the anglegear’s input shaft. Empty if no Anglegear is used.</td>
 </tr>
 <tr class="odd">
-<td align="left">P_angle_loss</td>
-<td align="left">[kW]</td>
-<td align="left">Power loss at the anglegear, interpolated from the loss-map. Empty if no Anglegear is used.</td>
+<td>P_angle_loss</td>
+<td>[kW]</td>
+<td>Power loss at the anglegear, interpolated from the loss-map. Empty if no Anglegear is used.</td>
 </tr>
 <tr class="even">
-<td align="left">P_axle_in</td>
-<td align="left">[kW]</td>
-<td align="left">Power at the axle-gear input shaft. P_axle_in = P_ret_in - P_ret_loss ( - P_angle_loss if an Angulargear is used).</td>
+<td>P_axle_in</td>
+<td>[kW]</td>
+<td>Power at the axle-gear input shaft. P_axle_in = P_ret_in - P_ret_loss ( - P_angle_loss if an Angulargear is used).</td>
 </tr>
 <tr class="odd">
-<td align="left">P_axle_loss</td>
-<td align="left">[kW]</td>
-<td align="left">Power loss at the axle gear, interpolated from the loss-map.</td>
+<td>P_axle_loss</td>
+<td>[kW]</td>
+<td>Power loss at the axle gear, interpolated from the loss-map.</td>
 </tr>
 <tr class="even">
-<td align="left">P_brake_in</td>
-<td align="left">[kW]</td>
-<td align="left">Power at the brake input shaft (definition: serially mounted into the drive train between wheels and axle). P_brake_in = P_axle_in - P_axle_loss</td>
+<td>P_brake_in</td>
+<td>[kW]</td>
+<td>Power at the brake input shaft (definition: serially mounted into the drive train between wheels and axle). P_brake_in = P_axle_in - P_axle_loss</td>
 </tr>
 <tr class="odd">
-<td align="left">P_brake_loss</td>
-<td align="left">[kW]</td>
-<td align="left">Power loss due to braking.</td>
+<td>P_brake_loss</td>
+<td>[kW]</td>
+<td>Power loss due to braking.</td>
 </tr>
 <tr class="even">
-<td align="left">P_wheel_in</td>
-<td align="left">[kW]</td>
-<td align="left">Power at the driven wheels. P_wheel_in = P_brake_in - P_brake_loss</td>
+<td>P_wheel_in</td>
+<td>[kW]</td>
+<td>Power at the driven wheels. P_wheel_in = P_brake_in - P_brake_loss</td>
 </tr>
 <tr class="odd">
-<td align="left">P_wheel_inertia</td>
-<td align="left">[kW]</td>
-<td align="left">Power loss due to the wheels’ inertia</td>
+<td>P_wheel_inertia</td>
+<td>[kW]</td>
+<td>Power loss due to the wheels’ inertia</td>
 </tr>
 <tr class="even">
-<td align="left">P_trac</td>
-<td align="left">[kW]</td>
-<td align="left">Vehicle’s traction power. P_trac = P_wheel_in - P_wheel_inertia</td>
+<td>P_trac</td>
+<td>[kW]</td>
+<td>Vehicle’s traction power. P_trac = P_wheel_in - P_wheel_inertia</td>
 </tr>
 <tr class="odd">
-<td align="left">P_slope</td>
-<td align="left">[kW]</td>
-<td align="left">Power loss/gain due to the road’s slope</td>
+<td>P_slope</td>
+<td>[kW]</td>
+<td>Power loss/gain due to the road’s slope</td>
 </tr>
 <tr class="even">
-<td align="left">P_air</td>
-<td align="left">[kW]</td>
-<td align="left">Power loss due to air drag.</td>
+<td>P_air</td>
+<td>[kW]</td>
+<td>Power loss due to air drag.</td>
 </tr>
 <tr class="odd">
-<td align="left">P_roll</td>
-<td align="left">[kW]</td>
-<td align="left">Rolling resistance power loss.</td>
+<td>P_roll</td>
+<td>[kW]</td>
+<td>Rolling resistance power loss.</td>
 </tr>
 <tr class="even">
-<td align="left">P_veh_inertia</td>
-<td align="left">[kW]</td>
-<td align="left">Power loss due to the vehicle’s inertia</td>
+<td>P_veh_inertia</td>
+<td>[kW]</td>
+<td>Power loss due to the vehicle’s inertia</td>
 </tr>
 <tr class="odd">
-<td align="left">P_aux_<XXX></td>
-<td align="left">[kW]</td>
-<td align="left">Power demand for every individual auxiliary. Only if the run has auxiliaries.</td>
+<td>P_aux_<XXX></td>
+<td>[kW]</td>
+<td>Power demand for every individual auxiliary. Only if the run has auxiliaries.</td>
 </tr>
 <tr class="even">
-<td align="left">P_PTO_consum</td>
-<td align="left">[kW]</td>
-<td align="left">Power demand from the PTO consumer. Only if the vehicle has a PTO consumer.</td>
+<td>P_PTO_consum</td>
+<td>[kW]</td>
+<td>Power demand from the PTO consumer. Only if the vehicle has a PTO consumer.</td>
 </tr>
 <tr class="odd">
-<td align="left">P_PTO_transmission</td>
-<td align="left">[kW]</td>
-<td align="left">Power demand from the PTO transmission. Only if the vehicle has a PTO consumer.</td>
+<td>P_PTO_transmission</td>
+<td>[kW]</td>
+<td>Power demand from the PTO transmission. Only if the vehicle has a PTO consumer.</td>
 </tr>
 <tr class="even">
-<td align="left">AA_NonSmartAlternatorsEfficiency</td>
-<td align="left">[Fraction]</td>
-<td align="left">Non-Smart Alternators Efficiency, Advance Auxiliaries Module</td>
+<td>AA_NonSmartAlternatorsEfficiency</td>
+<td>[Fraction]</td>
+<td>Non-Smart Alternators Efficiency, Advance Auxiliaries Module</td>
 </tr>
 <tr class="odd">
-<td align="left">AA_SmartIdleCurrent_Amps</td>
-<td align="left">[Amps]</td>
-<td align="left">Smart Idle Current in Amps, Advance Auxiliaries Module</td>
+<td>AA_SmartIdleCurrent_Amps</td>
+<td>[Amps]</td>
+<td>Smart Idle Current in Amps, Advance Auxiliaries Module</td>
 </tr>
 <tr class="even">
-<td align="left">AA_SmartIdleAlternatorsEfficiency</td>
-<td align="left">[Fraction]</td>
-<td align="left">Smart Idle Alternators Efficiency, Advance Auxiliaries Module</td>
+<td>AA_SmartIdleAlternatorsEfficiency</td>
+<td>[Fraction]</td>
+<td>Smart Idle Alternators Efficiency, Advance Auxiliaries Module</td>
 </tr>
 <tr class="odd">
-<td align="left">AA_SmartTractionCurrent_Amps</td>
-<td align="left">[Amps]</td>
-<td align="left">Smart Traction Current in Amps, Advance Auxiliaries Module</td>
+<td>AA_SmartTractionCurrent_Amps</td>
+<td>[Amps]</td>
+<td>Smart Traction Current in Amps, Advance Auxiliaries Module</td>
 </tr>
 <tr class="even">
-<td align="left">AA_SmartTractionAlternatorEfficiency</td>
-<td align="left">[Fraction]</td>
-<td align="left">Smart Traction Alternator Efficiency, Advance Auxiliaries Module</td>
+<td>AA_SmartTractionAlternatorEfficiency</td>
+<td>[Fraction]</td>
+<td>Smart Traction Alternator Efficiency, Advance Auxiliaries Module</td>
 </tr>
 <tr class="odd">
-<td align="left">AA_SmartOverrunCurrent_Amps</td>
-<td align="left">[Amps]</td>
-<td align="left">Smart Overrun Current in Amps, Advance Auxiliaries Module</td>
+<td>AA_SmartOverrunCurrent_Amps</td>
+<td>[Amps]</td>
+<td>Smart Overrun Current in Amps, Advance Auxiliaries Module</td>
 </tr>
 <tr class="even">
-<td align="left">AA_SmartOverrunAlternatorEfficiency</td>
-<td align="left">[Fraction]</td>
-<td align="left">Smart Overrun Alternator Efficiency, Advance Auxiliaries Module</td>
+<td>AA_SmartOverrunAlternatorEfficiency</td>
+<td>[Fraction]</td>
+<td>Smart Overrun Alternator Efficiency, Advance Auxiliaries Module</td>
 </tr>
 <tr class="odd">
-<td align="left">AA_CompressorFlowRate_LitrePerSec</td>
-<td align="left">[Ni L/S]</td>
-<td align="left">Compressor Flow Rate in litres per second, Advance Auxiliaries Module</td>
+<td>AA_CompressorFlowRate_LitrePerSec</td>
+<td>[Ni L/S]</td>
+<td>Compressor Flow Rate in litres per second, Advance Auxiliaries Module</td>
 </tr>
 <tr class="even">
-<td align="left">AA_OverrunFlag</td>
-<td align="left">[Bool [0/1]</td>
-<td align="left">Overrun Flag (yes/no), Advance Auxiliaries Module</td>
+<td>AA_OverrunFlag</td>
+<td>[Bool [0/1]</td>
+<td>Overrun Flag (yes/no), Advance Auxiliaries Module</td>
 </tr>
 <tr class="odd">
-<td align="left">AA_EngineIdleFlag</td>
-<td align="left">[Bool [0/1]</td>
-<td align="left">Engine Idle Flag (yes/no), Advance Auxiliaries Module</td>
+<td>AA_EngineIdleFlag</td>
+<td>[Bool [0/1]</td>
+<td>Engine Idle Flag (yes/no), Advance Auxiliaries Module</td>
 </tr>
 <tr class="even">
-<td align="left">AA_CompressorFlag</td>
-<td align="left">[Bool [0/1]</td>
-<td align="left">Compressor Flag (off/on), Advance Auxiliaries Module</td>
+<td>AA_CompressorFlag</td>
+<td>[Bool [0/1]</td>
+<td>Compressor Flag (off/on), Advance Auxiliaries Module</td>
 </tr>
 <tr class="odd">
-<td align="left">AA_TotalCycleFC_Grams</td>
-<td align="left">[Grams]</td>
-<td align="left">Total Cycle Fuel Consumption in grams, Advance Auxiliaries Module</td>
+<td>AA_TotalCycleFC_Grams</td>
+<td>[Grams]</td>
+<td>Total Cycle Fuel Consumption in grams, Advance Auxiliaries Module</td>
 </tr>
 <tr class="even">
-<td align="left">AA_TotalCycleFC_Litres</td>
-<td align="left">[Litres]</td>
-<td align="left">Total Cycle Fuel Consumption in litres, Advance Auxiliaries Module</td>
+<td>AA_TotalCycleFC_Litres</td>
+<td>[Litres]</td>
+<td>Total Cycle Fuel Consumption in litres, Advance Auxiliaries Module</td>
 </tr>
 <tr class="odd">
-<td align="left">TCnu</td>
-<td align="left">[-]</td>
-<td align="left">Torque converter operating point: speed ratio</td>
+<td>TCnu</td>
+<td>[-]</td>
+<td>Torque converter operating point: speed ratio</td>
 </tr>
 <tr class="even">
-<td align="left">TCmu</td>
-<td align="left">[-]</td>
-<td align="left">Torque converter operating point: torque ratio</td>
+<td>TCmu</td>
+<td>[-]</td>
+<td>Torque converter operating point: torque ratio</td>
 </tr>
 <tr class="odd">
-<td align="left">T_TC_out</td>
-<td align="left">[Nm]</td>
-<td align="left">Torque converter operating point: output torque</td>
+<td>T_TC_out</td>
+<td>[Nm]</td>
+<td>Torque converter operating point: output torque</td>
 </tr>
 <tr class="even">
-<td align="left">n_TC_out</td>
-<td align="left">[rpm]</td>
-<td align="left">Torque converter operating point: output speed</td>
+<td>n_TC_out</td>
+<td>[rpm]</td>
+<td>Torque converter operating point: output speed</td>
 </tr>
 <tr class="odd">
-<td align="left">T_TC_in</td>
-<td align="left">[Nm]</td>
-<td align="left">Torque converter operating point: input torque</td>
+<td>T_TC_in</td>
+<td>[Nm]</td>
+<td>Torque converter operating point: input torque</td>
 </tr>
 <tr class="even">
-<td align="left">n_TC_in</td>
-<td align="left">[rpm]</td>
-<td align="left">Torque converter operating point: input speed</td>
+<td>n_TC_in</td>
+<td>[rpm]</td>
+<td>Torque converter operating point: input speed</td>
 </tr>
 <tr class="odd">
-<td align="left">FC-Map</td>
-<td align="left">[g/h]</td>
-<td align="left">Fuel consumption interpolated from FC map.</td>
+<td>FC-Map</td>
+<td>[g/h]</td>
+<td>Fuel consumption interpolated from FC map.</td>
 </tr>
 <tr class="even">
-<td align="left">FC-AUXc</td>
-<td align="left">[g/h]</td>
-<td align="left">Fuel consumption after <a href="#fuel-consumption-calculation">Auxiliary-Start/Stop Correction</a> (based on FC)</td>
+<td>FC-AUXc</td>
+<td>[g/h]</td>
+<td>Fuel consumption after <a href="#fuel-consumption-calculation">Auxiliary-Start/Stop Correction</a> (based on FC)</td>
 </tr>
 <tr class="odd">
-<td align="left">FC-WHTCc</td>
-<td align="left">[g/h]</td>
-<td align="left">Fuel consumption after <a href="#fuel-consumption-calculation">WHTC Correction</a> (based on FC-AUXc)</td>
+<td>FC-WHTCc</td>
+<td>[g/h]</td>
+<td>Fuel consumption after <a href="#fuel-consumption-calculation">WHTC Correction</a> (based on FC-AUXc)</td>
 </tr>
 <tr class="even">
-<td align="left">FC-AAUX</td>
-<td align="left">[g/h]</td>
-<td align="left">Fuel consumption computed by the AAUX module considering smart auxiliaries</td>
+<td>FC-AAUX</td>
+<td>[g/h]</td>
+<td>Fuel consumption computed by the AAUX module considering smart auxiliaries</td>
 </tr>
 <tr class="odd">
-<td align="left">FC-Final</td>
-<td align="left">[g/h]</td>
-<td align="left">Final fuel consumption value after all applicable corrections</td>
+<td>FC-Final</td>
+<td>[g/h]</td>
+<td>Final fuel consumption value after all applicable corrections</td>
 </tr>
 </tbody>
 </table>
@@ -5682,236 +5925,236 @@ CycleTime,UnknownCycleName,3600</code></pre>
 </colgroup>
 <thead>
 <tr class="header">
-<th align="left">Name</th>
-<th align="left">Unit</th>
-<th align="left">Description</th>
+<th>Name</th>
+<th>Unit</th>
+<th>Description</th>
 </tr>
 </thead>
 <tbody>
 <tr class="odd">
-<td align="left">Job</td>
-<td align="left">[-]</td>
-<td align="left">Job number in the format “X-Y” (with X as filenumber, and Y as cycle number)</td>
+<td>Job</td>
+<td>[-]</td>
+<td>Job number in the format “X-Y” (with X as filenumber, and Y as cycle number)</td>
 </tr>
 <tr class="even">
-<td align="left">Input File</td>
-<td align="left">[-]</td>
-<td align="left">Name of the input job file (.vecto)</td>
+<td>Input File</td>
+<td>[-]</td>
+<td>Name of the input job file (.vecto)</td>
 </tr>
 <tr class="odd">
-<td align="left">Cycle</td>
-<td align="left">[-]</td>
-<td align="left">Name of the cycle file (or cycle name in declaration mode)</td>
+<td>Cycle</td>
+<td>[-]</td>
+<td>Name of the cycle file (or cycle name in declaration mode)</td>
 </tr>
 <tr class="even">
-<td align="left">Status</td>
-<td align="left">[-]</td>
-<td align="left">The result status of the run (Success, Aborted)</td>
+<td>Status</td>
+<td>[-]</td>
+<td>The result status of the run (Success, Aborted)</td>
 </tr>
 <tr class="odd">
-<td align="left">Mass</td>
-<td align="left">[kg]</td>
-<td align="left">Vehicle mass (<strong>Curb Weight Vehicle</strong> + <strong>Curb Weight Extra Trailer/Body</strong>, see <a href="#vehicle-editor">Vehicle Editor</a>)</td>
+<td>Mass</td>
+<td>[kg]</td>
+<td>Vehicle mass (<strong>Curb Weight Vehicle</strong> + <strong>Curb Weight Extra Trailer/Body</strong>, see <a href="#vehicle-editor">Vehicle Editor</a>)</td>
 </tr>
 <tr class="even">
-<td align="left">Loading</td>
-<td align="left">[kg]</td>
-<td align="left">Vehicle loading (see <a href="#vehicle-editor">Vehicle Editor</a>)</td>
+<td>Loading</td>
+<td>[kg]</td>
+<td>Vehicle loading (see <a href="#vehicle-editor">Vehicle Editor</a>)</td>
 </tr>
 <tr class="odd">
-<td align="left">Cargo Volume</td>
-<td align="left">[m^3]</td>
-<td align="left">Vehicle cargo volume (Declaration Mode only!)</td>
+<td>Cargo Volume</td>
+<td>[m^3]</td>
+<td>Vehicle cargo volume (Declaration Mode only!)</td>
 </tr>
 <tr class="even">
-<td align="left">time</td>
-<td align="left">[s]</td>
-<td align="left">Total simulation time</td>
+<td>time</td>
+<td>[s]</td>
+<td>Total simulation time</td>
 </tr>
 <tr class="odd">
-<td align="left">distance</td>
-<td align="left">[km]</td>
-<td align="left">Total traveled distance</td>
+<td>distance</td>
+<td>[km]</td>
+<td>Total traveled distance</td>
 </tr>
 <tr class="even">
-<td align="left">speed</td>
-<td align="left">[km/h]</td>
-<td align="left">Average vehicle speed</td>
+<td>speed</td>
+<td>[km/h]</td>
+<td>Average vehicle speed</td>
 </tr>
 <tr class="odd">
-<td align="left">altitudeDelta</td>
-<td align="left">[m]</td>
-<td align="left">Altitude difference between start and end of cycle</td>
+<td>altitudeDelta</td>
+<td>[m]</td>
+<td>Altitude difference between start and end of cycle</td>
 </tr>
 <tr class="even">
-<td align="left">FC-Map</td>
-<td align="left">[g/h], [g/km]</td>
-<td align="left">Average fuel consumption before all corrections, interpolated from <a href="#fuel-consumption-calculation">Fuel Map</a>, based on torque and engine speed.</td>
+<td>FC-Map</td>
+<td>[g/h], [g/km]</td>
+<td>Average fuel consumption before all corrections, interpolated from <a href="#fuel-consumption-calculation">Fuel Map</a>, based on torque and engine speed.</td>
 </tr>
 <tr class="odd">
-<td align="left">FC-AUXc</td>
-<td align="left">[g/h], [g/km]</td>
-<td align="left">Average fuel consumption after <a href="#fuel-consumption-calculation">Auxiliary-Start/Stop Correction</a> (Based on FC-Map)</td>
+<td>FC-AUXc</td>
+<td>[g/h], [g/km]</td>
+<td>Average fuel consumption after <a href="#fuel-consumption-calculation">Auxiliary-Start/Stop Correction</a> (Based on FC-Map)</td>
 </tr>
 <tr class="even">
-<td align="left">FC-WHTCc</td>
-<td align="left">[g/h], [g/km]</td>
-<td align="left">Average fuel consumption after <a href="#fuel-consumption-calculation">WHTC Correction</a> (Based on FC-AUXc)</td>
+<td>FC-WHTCc</td>
+<td>[g/h], [g/km]</td>
+<td>Average fuel consumption after <a href="#fuel-consumption-calculation">WHTC Correction</a> (Based on FC-AUXc)</td>
 </tr>
 <tr class="odd">
-<td align="left">FC-AAUX</td>
-<td align="left">[g/h], [g/km]</td>
-<td align="left">Average fuel consumption after Smart Auxiliary Correction (<em>still in development</em>) (Based on FC-WHTCc)</td>
+<td>FC-AAUX</td>
+<td>[g/h], [g/km]</td>
+<td>Average fuel consumption after Smart Auxiliary Correction (<em>still in development</em>) (Based on FC-WHTCc)</td>
 </tr>
 <tr class="even">
-<td align="left">FC-Final</td>
-<td align="left">[g/h], [g/km], [l/100km], [l/100tkm], [l/100m^3km]</td>
-<td align="left">Final average fuel consumption after ALL corrections. Value for calculation of CO<sub>2</sub> value. If Loading = 0[kg] the column [l/100tkm] is left empty.</td>
+<td>FC-Final</td>
+<td>[g/h], [g/km], [l/100km], [l/100tkm], [l/100m^3km]</td>
+<td>Final average fuel consumption after ALL corrections. Value for calculation of CO<sub>2</sub> value. If Loading = 0[kg] the column [l/100tkm] is left empty.</td>
 </tr>
 <tr class="odd">
-<td align="left">CO2</td>
-<td align="left">[g/km], [g/tkm], [g/m^3km]</td>
-<td align="left">Average CO<sub>2</sub> emissions (based on FC-Final value). Output for [l/100tkm] is empty when Loading = 0[kg].</td>
+<td>CO2</td>
+<td>[g/km], [g/tkm], [g/m^3km]</td>
+<td>Average CO<sub>2</sub> emissions (based on FC-Final value). Output for [l/100tkm] is empty when Loading = 0[kg].</td>
 </tr>
 <tr class="even">
-<td align="left">P_wheel_in_pos</td>
-<td align="left">[kW]</td>
-<td align="left">Average positive power at the wheels</td>
+<td>P_wheel_in_pos</td>
+<td>[kW]</td>
+<td>Average positive power at the wheels</td>
 </tr>
 <tr class="odd">
-<td align="left">P_fcmap_pos</td>
-<td align="left">[kW]</td>
-<td align="left">Average positive power at engine (all non-negative values averaged over the whole cycle duration)</td>
+<td>P_fcmap_pos</td>
+<td>[kW]</td>
+<td>Average positive power at engine (all non-negative values averaged over the whole cycle duration)</td>
 </tr>
 <tr class="even">
-<td align="left">E_fcmap_pos</td>
-<td align="left">[kWh]</td>
-<td align="left">Total positive work provided by the combustion engine.</td>
+<td>E_fcmap_pos</td>
+<td>[kWh]</td>
+<td>Total positive work provided by the combustion engine.</td>
 </tr>
 <tr class="odd">
-<td align="left">E_fcmap_neg</td>
-<td align="left">[kWh]</td>
-<td align="left">Total energy</td>
+<td>E_fcmap_neg</td>
+<td>[kWh]</td>
+<td>Total energy</td>
 </tr>
 <tr class="even">
-<td align="left">E_powertrain_inertia</td>
-<td align="left">[kWh]</td>
-<td align="left">Total work of engine, torqueconverter, and gearbox inertia</td>
+<td>E_powertrain_inertia</td>
+<td>[kWh]</td>
+<td>Total work of engine, torqueconverter, and gearbox inertia</td>
 </tr>
 <tr class="odd">
-<td align="left">E_aux_xxx</td>
-<td align="left">[kWh]</td>
-<td align="left">Energy demand of auxiliary with ID xxx. See also <a href="#auxiliary-dialog">Aux Dialog</a> and <a href="#driving-cycles">Driving Cycle</a>. In Declaration Mode the following auxiliaries always exists: E_aux_FAN (Fan), E_aux_PS (Pneumatic System), E_aux_STP (Steering Pump), E_aux_ES (Electrical System), E_aux_AC (Air Condition)</td>
+<td>E_aux_xxx</td>
+<td>[kWh]</td>
+<td>Energy demand of auxiliary with ID xxx. See also <a href="#auxiliary-dialog">Aux Dialog</a> and <a href="#driving-cycles">Driving Cycle</a>. In Declaration Mode the following auxiliaries always exists: E_aux_FAN (Fan), E_aux_PS (Pneumatic System), E_aux_STP (Steering Pump), E_aux_ES (Electrical System), E_aux_AC (Air Condition)</td>
 </tr>
 <tr class="even">
-<td align="left">E_aux_sum</td>
-<td align="left">[kWh]</td>
-<td align="left">Total energy demand of all auxiliaries. This is the sum for all E_aux_xxx columns.</td>
+<td>E_aux_sum</td>
+<td>[kWh]</td>
+<td>Total energy demand of all auxiliaries. This is the sum for all E_aux_xxx columns.</td>
 </tr>
 <tr class="odd">
-<td align="left">E_clutch_loss</td>
-<td align="left">[kWh]</td>
-<td align="left">Total energy loss in the clutch</td>
+<td>E_clutch_loss</td>
+<td>[kWh]</td>
+<td>Total energy loss in the clutch</td>
 </tr>
 <tr class="even">
-<td align="left">E_tc_loss</td>
-<td align="left">[kWh]</td>
-<td align="left">Total torque converter energy loss</td>
+<td>E_tc_loss</td>
+<td>[kWh]</td>
+<td>Total torque converter energy loss</td>
 </tr>
 <tr class="odd">
-<td align="left">E_gbx_loss</td>
-<td align="left">[kWh]</td>
-<td align="left">Total transmission energy losses at gearbox (includes loss-map, inertia, and gear-shifts). E_shift_loss is already included here.</td>
+<td>E_gbx_loss</td>
+<td>[kWh]</td>
+<td>Total transmission energy losses at gearbox (includes loss-map, inertia, and gear-shifts). E_shift_loss is already included here.</td>
 </tr>
 <tr class="even">
-<td align="left">E_shift_loss</td>
-<td align="left">[kWh]</td>
-<td align="left">Total energy losses due to gearshifts</td>
+<td>E_shift_loss</td>
+<td>[kWh]</td>
+<td>Total energy losses due to gearshifts</td>
 </tr>
 <tr class="odd">
-<td align="left">E_ret_loss</td>
-<td align="left">[kWh]</td>
-<td align="left">Total retarder energy loss</td>
+<td>E_ret_loss</td>
+<td>[kWh]</td>
+<td>Total retarder energy loss</td>
 </tr>
 <tr class="even">
-<td align="left">E_angle_loss</td>
-<td align="left">[kWh]</td>
-<td align="left">Total torque converter energy loss</td>
+<td>E_angle_loss</td>
+<td>[kWh]</td>
+<td>Total torque converter energy loss</td>
 </tr>
 <tr class="odd">
-<td align="left">E_axl_loss</td>
-<td align="left">[kWh]</td>
-<td align="left">Total transmission energy losses at the axlegear</td>
+<td>E_axl_loss</td>
+<td>[kWh]</td>
+<td>Total transmission energy losses at the axlegear</td>
 </tr>
 <tr class="even">
-<td align="left">E_brake</td>
-<td align="left">[kWh]</td>
-<td align="left">Total work dissipated in mechanical braking (sum of service brakes, retader and additional engine exhaust brakes)</td>
+<td>E_brake</td>
+<td>[kWh]</td>
+<td>Total work dissipated in mechanical braking (sum of service brakes, retader and additional engine exhaust brakes)</td>
 </tr>
 <tr class="odd">
-<td align="left">E_vehicle_inertia</td>
-<td align="left">[kWh]</td>
-<td align="left">Total work of wheels inertia and vehicle mass</td>
+<td>E_vehicle_inertia</td>
+<td>[kWh]</td>
+<td>Total work of wheels inertia and vehicle mass</td>
 </tr>
 <tr class="even">
-<td align="left">E_air</td>
-<td align="left">[kWh]</td>
-<td align="left">Total work of air resistance</td>
+<td>E_air</td>
+<td>[kWh]</td>
+<td>Total work of air resistance</td>
 </tr>
 <tr class="odd">
-<td align="left">E_roll</td>
-<td align="left">[kWh]</td>
-<td align="left">Total work of rolling resistance</td>
+<td>E_roll</td>
+<td>[kWh]</td>
+<td>Total work of rolling resistance</td>
 </tr>
 <tr class="even">
-<td align="left">E_grad</td>
-<td align="left">[kWh]</td>
-<td align="left">Total work of gradient resistance</td>
+<td>E_grad</td>
+<td>[kWh]</td>
+<td>Total work of gradient resistance</td>
 </tr>
 <tr class="odd">
-<td align="left">E_PTO_CONSUM</td>
-<td align="left">[kWh]</td>
-<td align="left">Total energy demand of the pto consumer (if a pto consumer was used).</td>
+<td>E_PTO_CONSUM</td>
+<td>[kWh]</td>
+<td>Total energy demand of the pto consumer (if a pto consumer was used).</td>
 </tr>
 <tr class="even">
-<td align="left">E_PTO_TRANSM</td>
-<td align="left">[kWh]</td>
-<td align="left">Total energy demand of the pto transmission (if a pto transmission was used).</td>
+<td>E_PTO_TRANSM</td>
+<td>[kWh]</td>
+<td>Total energy demand of the pto transmission (if a pto transmission was used).</td>
 </tr>
 <tr class="odd">
-<td align="left">a</td>
-<td align="left">[m/s<sup>2</sup>]</td>
-<td align="left">Average acceleration</td>
+<td>a</td>
+<td>[m/s<sup>2</sup>]</td>
+<td>Average acceleration</td>
 </tr>
 <tr class="even">
-<td align="left">a_pos</td>
-<td align="left">[m/s<sup>2</sup>]</td>
-<td align="left">Average acceleration in acceleration phases (a<sub>3s</sub> &gt; 0.125 [m/s<sup>2</sup>], a<sub>3s</sub> = 3-seconds-averaged acceleration)</td>
+<td>a_pos</td>
+<td>[m/s<sup>2</sup>]</td>
+<td>Average acceleration in acceleration phases (a<sub>3s</sub> &gt; 0.125 [m/s<sup>2</sup>], a<sub>3s</sub> = 3-seconds-averaged acceleration)</td>
 </tr>
 <tr class="odd">
-<td align="left">a_neg</td>
-<td align="left">[m/s<sup>2</sup>]</td>
-<td align="left">Average deceleration in deceleration phases (a<sub>3s</sub> &lt; 0.125 [m/s<sup>2</sup>], a<sub>3s</sub> = 3-seconds-averaged acceleration)</td>
+<td>a_neg</td>
+<td>[m/s<sup>2</sup>]</td>
+<td>Average deceleration in deceleration phases (a<sub>3s</sub> &lt; 0.125 [m/s<sup>2</sup>], a<sub>3s</sub> = 3-seconds-averaged acceleration)</td>
 </tr>
 <tr class="even">
-<td align="left">AccelerationTimeShare</td>
-<td align="left">[%]</td>
-<td align="left">Time share of acceleration phases (a<sub>3s</sub> &gt; 0.125 [m/s<sup>2</sup>], a<sub>3s</sub> = 3-seconds-averaged acceleration)</td>
+<td>AccelerationTimeShare</td>
+<td>[%]</td>
+<td>Time share of acceleration phases (a<sub>3s</sub> &gt; 0.125 [m/s<sup>2</sup>], a<sub>3s</sub> = 3-seconds-averaged acceleration)</td>
 </tr>
 <tr class="odd">
-<td align="left">DecelerationTimeShare</td>
-<td align="left">[%]</td>
-<td align="left">Time share of deceleration phases (a<sub>3s</sub> &lt; 0.125 [m/s<sup>2</sup>], a<sub>3s</sub> = 3-seconds-averaged acceleration)</td>
+<td>DecelerationTimeShare</td>
+<td>[%]</td>
+<td>Time share of deceleration phases (a<sub>3s</sub> &lt; 0.125 [m/s<sup>2</sup>], a<sub>3s</sub> = 3-seconds-averaged acceleration)</td>
 </tr>
 <tr class="even">
-<td align="left">CruiseTimeShare</td>
-<td align="left">[%]</td>
-<td align="left">Time share of cruise phases (-0.125 ≤ a<sub>3s</sub> ≤ 0.125 [m/s<sup>2</sup>])</td>
+<td>CruiseTimeShare</td>
+<td>[%]</td>
+<td>Time share of cruise phases (-0.125 ≤ a<sub>3s</sub> ≤ 0.125 [m/s<sup>2</sup>])</td>
 </tr>
 <tr class="odd">
-<td align="left">StopTimeShare</td>
-<td align="left">[%]</td>
-<td align="left">Time share of stop phases (v &lt; 0.1 [m/s])</td>
+<td>StopTimeShare</td>
+<td>[%]</td>
+<td>Time share of stop phases (v &lt; 0.1 [m/s])</td>
 </tr>
 </tbody>
 </table>
@@ -5948,10 +6191,65 @@ CycleTime,UnknownCycleName,3600</code></pre>
 </div>
 <div id="changelog" class="section level1">
 <h1>Changelog</h1>
+<p><strong>VECTO 3.2.0</strong></p>
+<p><strong><em>Build 925 (2017-07-13)</em></strong></p>
+<ul>
+<li>Improvements
+<ul>
+<li>[VECTO-366] added EMS vehicle configuration, EMS is only simulated when engine rated power &gt; 300kW</li>
+<li>[VECTO-463] add pneumatic system technology ‘vacuum pump’</li>
+<li>[VECTO-465] change RRC value of trailers (declaration mode) from 0.00555 to 0.0055 (due to limits in user interface)</li>
+<li>[VECTO-477] AT Gearbox, powershift losses: remove inertia factor</li>
+<li>[VECTO-471] update cross-wind correction model: height-dependent wind speed (see Excel spreadsheet in User Manual folder for details)</li>
+<li>[VECTO-367] Add Vehicle Design Speed to segmentation table</li>
+<li>[VECTO-470] Add XML reading and export functionality</li>
+<li>[VECTO-486] Adding hashing library</li>
+<li>[VECTO-469] Limit engine max torque (either due to vehicle or gearbox limits), limit gearbox input speed</li>
+<li>[VECTO-466] Update vehicle payloads: 10% loaded and reference load are simulated</li>
+<li>[VECTO-467] Add generic PTO activation in municipal cycle</li>
+<li>[VECTO-468] Add PTO losses (idle) in declaration mode</li>
+<li>[VECTO-479] Added PTO option ‘only one engaged gearwheel above oil level’ with 0 losses</li>
+<li>[VECTO-483] Adapt CdxA supplement for additional trailers</li>
+<li>[VECTO-494] Implementation of different fuel types</li>
+<li>[VECTO-502] Implementing standard values for air-drag area (if not measured)</li>
+<li>[VECTO-501] Implement engine idle speed set in vehicle (must be higher than engine’s idle speed value)</li>
+<li>[VECTO-504] Adding HVAC technology ‘none’</li>
+<li>[VECTO-489] Extrapolate gearbox lossmaps (required when torque limitation by gearbox is ignored)</li>
+<li>[VECTO-505] Implement AT transmissions in declaration mode</li>
+<li>[VECTO-507] Allow to ignore validation of model data when starting a simulation (significant improvement on simulation startup time - about 10s)</li>
+<li>[VECTO-506] modified method how torque-converter characteristics in drag is extended. allow drag-values in the input, only add one point at a high speed ratio</li>
+<li>[VECTO-509] Add axle-type (vehicle driven, vehicle non-driven, trailer) to GUI</li>
+<li>[VECTO-511] Add engine idle speed to Vehicle input form (GUI)</li>
+<li>[VECTO-510] Write XML reports (manufacturer, customer information) in declaration mode</li>
+<li>[VECTO-474] new driving cycles for Municipal and Regional Delivery</li>
+<li>[VECTO-522] step-up ratio for using torque converter in second gear set to 1.85 for busses (still 1.8 for trucks)</li>
+<li>[VECTO-525] remove info-box with max loading in GUI</li>
+<li>[VECTO-531] Payload calculation: limit truck payload to the truck’s max payload. (earlier versions only limited the total payload of truc + trailer to the total max. payload, i.e. allowed to shifted loading from truck to the trailer)</li>
+<li>[VECTO-533] allow second driven axle, rdyn is calculated as average of both driven axles</li>
+<li>[VECTO-537] new Suburban driving cycles</li>
+<li>[VECTO-541] increase declaration mode PT1 curve to higher speeds (2500 is too low for some engines)</li>
+</ul></li>
+<li>Bugfixes:
+<ul>
+<li>[VECTO-462] fix: decision if PTO cycle is simulated</li>
+<li>[VECTO-473] fix: adapt range for validation of torque converter characteristics</li>
+<li>[VECTO-464] fix: extrapolation of engine full-load curve gives neg. max. torque. Limit engine speed to n95h</li>
+<li>[VECTO-480] fix: a_pos in .vsum was less than zero</li>
+<li>[VECTO-487] fix: Duration of PTO cycle was computed incorrectly if PTO cycle does not start at t=0</li>
+<li>[VECTO-514] fix: sort entries in .vsum numerically, not lexically</li>
+<li>[VECTO-516] fix: consider axlegear losses for estimation of acceleration after gearshifts</li>
+<li>[VECTO-517] fix: valid shift polygon was considered invalid when extended to very high torque ranges</li>
+<li>[VECTO-424] fix: VectoCore.dll could not be found when the current working directory is different to the directory of the vectocmd.exe</li>
+<li>[VECTO-425] fix: vectocmd.exe - check if the output is redirected, and skip updating of the progress bar when this is the case</li>
+<li>[VECTO-426] fix: vectocmd.exe - log errors to STDERR</li>
+<li>[VECTO-519] fix: computation of n95h fails for a valid full-load curve due to numerical inaccuracy. add tolerance when searching for solutions</li>
+<li>[VECTO-520] fix: gearashift count in vsum is 0</li>
+</ul></li>
+</ul>
 <p><strong>VECTO 3.1.2</strong></p>
 <p><strong><em>Build 810 (2017-03-21)</em></strong></p>
 <ul>
-<li>Improvements
+<li>Improvements:
 <ul>
 <li>[VECTO-445] Additional columns in vsum file</li>
 <li>Allow splitting shift losses among multiple simulation intervals</li>
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+Job [-],Input File [-],Cycle [-],Status,Mass [kg],Loading [kg],time [s],distance [km],speed [km/h],altitudeDelta [m],FC-Map [g/h],FC-Map [g/km],FC-AUXc [g/h],FC-AUXc [g/km],FC-WHTCc [g/h],FC-WHTCc [g/km],FC-AAUX [g/h],FC-AAUX [g/km],FC-Final [g/h],FC-Final [g/km],FC-Final [l/100km],FC-Final [l/100tkm],CO2 [g/km],CO2 [g/tkm],P_wheel_in_pos [kW],P_brake_loss [kW],P_angle_loss [kW],P_tc_loss [kW],P_clutch_pos [kW],P_clutch_neg [kW],P_fcmap_pos [kW],E_aux_FAN [kWh],E_aux_STP [kWh],E_aux_AC [kWh],E_aux_PS [kWh],E_aux_ES [kWh],E_aux_sum [kWh],E_air [kWh],E_roll [kWh],E_grad [kWh],E_inertia [kWh],E_brake [kWh],E_gbx_loss [kWh],E_axl_loss [kWh],E_angle_loss [kWh],E_ret_loss [kWh],E_tc_loss [kWh],E_clutch_pos [kWh],E_clutch_neg [kWh],E_fcmap_pos [kWh],a [m/s^2],a_pos [m/s^2],a_neg [m/s^2],AccelerationTimeShare [%],DecelerationTimeShare [%],CruiseTimeShare [%],StopTimeShare [%]
+17-0,VEH-EURO6_2018_Class-2,LongHaul.vdri,Success,9970.0000,0.0000,4531.8489,100.1850,79.5847,-2.5494,15958.8699,200.5268,15958.8699,200.5268,15958.8699,200.5268,15958.8699,200.5268,15958.8699,200.5268,24.1018,,633.6646,,70.1411,2.2076,0.0000,0.0000,83.1091,-13.0486,85.7601,0.7781,0.4659,0.2518,1.7628,2.1585,5.4171,66.6389,18.1264,-0.0658,0.0000,2.7791,3.8047,4.6866,0.0000,0.0000,0.0000,96.7233,-0.7392,102.1300,0.0000,0.4122,-0.5472,4.8775,3.5974,91.5250,1.4784
+17-1,VEH-EURO6_2018_Class-2,LongHaul.vdri,Success,9970.0000,9866.1765,4617.7745,100.1850,78.1039,-2.5494,18744.8942,239.9996,18744.8942,239.9996,18744.8942,239.9996,18744.8942,239.9996,18744.8942,239.9996,28.8461,2.9237,758.3987,76.8686,83.9471,5.7293,0.0000,0.0000,102.9909,-14.9125,105.0478,0.7929,0.4747,0.2566,1.7962,2.1994,5.5198,65.1964,33.6664,-0.1310,0.0000,7.3490,4.5134,5.7438,0.0000,0.0000,0.0000,117.7864,-1.4485,123.1721,0.0000,0.3482,-0.4269,5.4797,4.6350,89.8852,1.4509
+17-2,VEH-EURO6_2018_Class-2,LongHaul.vdri,Success,9970.0000,12520.0000,4664.8319,100.1850,77.3160,-2.5494,19341.9362,250.1674,19341.9362,250.1674,19341.9362,250.1674,19341.9362,250.1674,19341.9362,250.1674,30.0682,2.4016,790.5290,63.1413,86.8301,6.7259,0.0000,0.0000,107.4168,-14.4189,108.9837,0.8010,0.4795,0.2592,1.8145,2.2218,5.5760,64.5334,37.6943,-0.1485,0.0000,8.7154,4.6576,6.0040,0.0000,0.0000,0.0000,123.0037,-1.5506,128.4314,0.0000,0.3168,-0.3889,6.2178,5.3816,88.4005,1.4363
+17-3,VEH-EURO6_2018_Class-2,RegionalDelivery.vdri,Success,6570.0000,0.0000,1571.8971,25.8360,59.1703,0.0101,9097.4503,153.7503,9097.4503,153.7503,9097.4503,153.7503,9097.4503,153.7503,9097.4503,153.7503,18.4796,,485.8510,,37.1424,2.2681,0.0000,0.0000,55.7502,-7.9181,52.8793,0.2931,0.1485,0.0874,0.5678,0.6240,1.7207,11.3554,3.3022,-0.0001,0.0000,0.9903,0.7085,0.8811,0.0000,0.0000,0.0000,17.7638,-0.5066,19.5588,0.0000,0.4926,-0.5399,14.1311,12.8581,73.0108,7.2524
+17-4,VEH-EURO6_2018_Class-2,RegionalDelivery.vdri,Success,6570.0000,3019.5882,1571.7061,25.8360,59.1775,0.0101,10135.4658,171.2724,10135.4658,171.2724,10135.4658,171.2724,10135.4658,171.2724,10135.4658,171.2724,20.5856,6.8174,541.2206,179.2366,42.4958,3.6265,0.0000,0.0000,68.9094,-10.4647,64.0489,0.2930,0.1485,0.0873,0.5677,0.6239,1.7205,11.3632,4.6410,-0.0002,0.0000,1.5833,0.8067,1.0229,0.0000,0.0000,0.0000,20.3109,-0.8674,22.0597,0.0000,0.4761,-0.5304,14.4494,12.8581,72.6926,7.2533
+17-5,VEH-EURO6_2018_Class-2,RegionalDelivery.vdri,Success,6570.0000,5420.0000,1574.6789,25.8360,59.0658,0.0101,10940.9998,185.2342,10940.9998,185.2342,10940.9998,185.2342,10940.9998,185.2342,10940.9998,185.2342,22.2637,4.1077,585.3401,107.9963,46.6229,4.8525,0.0000,0.0000,81.0860,-11.3910,73.8741,0.2936,0.1488,0.0875,0.5688,0.6251,1.7238,11.3150,5.6746,-0.0002,0.0000,2.1225,0.9035,1.1346,0.0000,0.0000,0.0000,22.3277,-1.1512,24.0312,0.0000,0.4383,-0.4718,16.0102,14.8030,69.1868,7.2396
+17-6,VEH-EURO6_2018_Class-2,UrbanDelivery.vdri,Success,6570.0000,0.0000,3246.7073,27.8160,30.8428,-0.0158,4841.7423,156.9812,4841.7423,156.9812,4841.7423,156.9812,4841.7423,156.9812,4841.7423,156.9812,18.8679,,496.0606,,16.6541,4.3223,0.0000,0.0000,34.9706,-6.9149,28.9294,0.4654,0.2796,0.1353,1.0824,1.2886,3.2513,6.3045,3.5552,-0.0001,0.0000,3.8981,0.7158,0.8535,0.0000,0.0000,0.0000,16.5419,-1.1321,20.3182,0.0000,0.5099,-0.6249,20.8872,17.0055,62.1072,19.6815
+17-7,VEH-EURO6_2018_Class-2,UrbanDelivery.vdri,Success,6570.0000,3019.5882,3249.7796,27.8160,30.8137,-0.0158,5761.4580,186.9774,5761.4580,186.9774,5761.4580,186.9774,5761.4580,186.9774,5761.4580,186.9774,22.4732,7.4425,590.8486,195.6719,21.1791,6.7864,0.0000,0.0000,46.4652,-8.6445,36.7327,0.4659,0.2799,0.1354,1.0834,1.2898,3.2544,6.2980,4.9966,-0.0001,0.0000,6.1262,0.8689,1.0897,0.0000,0.0000,0.0000,21.0293,-1.5328,24.8359,0.0000,0.5053,-0.6106,20.9911,17.3900,61.6190,19.6629
+17-8,VEH-EURO6_2018_Class-2,UrbanDelivery.vdri,Success,6570.0000,5420.0000,3250.3414,27.8160,30.8083,-0.0158,6535.4031,212.1310,6535.4031,212.1310,6535.4031,212.1310,6535.4031,212.1310,6535.4031,212.1310,25.4965,4.7042,670.3340,123.6779,24.8768,9.0214,0.0000,0.0000,56.7301,-9.1131,43.0871,0.4660,0.2799,0.1355,1.0836,1.2900,3.2550,6.2816,6.1093,-0.0001,0.0000,8.1452,1.0185,1.2760,0.0000,0.0000,0.0000,24.6985,-1.7377,28.5326,0.0000,0.5014,-0.6081,21.0526,17.5439,61.4035,19.6595
+18-0,VEH-EURO6_2018_Class-3,RegionalDelivery.vdri,Success,6980.0000,0.0000,1573.7841,25.8360,59.0993,0.0101,8787.1181,148.6839,8787.1181,148.6839,8787.1181,148.6839,8787.1181,148.6839,8787.1181,148.6839,17.8707,,469.8410,,35.7304,2.4165,0.0000,0.0000,54.6788,-9.1943,51.8264,0.2934,0.1618,0.0875,0.5685,0.6247,1.7359,10.5603,3.2952,-0.0001,0.0000,1.0564,0.6856,0.8563,0.0000,0.0000,0.0000,17.1091,-0.6365,18.8460,0.0000,0.4941,-0.5315,14.0496,13.0324,72.9180,7.2437
+18-1,VEH-EURO6_2018_Class-3,RegionalDelivery.vdri,Success,6980.0000,4205.8824,1571.0877,25.8360,59.2008,0.0101,10246.9470,173.0881,10246.9470,173.0881,10246.9470,173.0881,10246.9470,173.0881,10246.9470,173.0881,20.8039,4.9464,546.9583,130.0460,43.2822,4.5073,0.0000,0.0000,75.3527,-11.4073,69.1559,0.2929,0.1615,0.0873,0.5675,0.6236,1.7329,10.5869,5.0374,-0.0002,0.0000,1.9670,0.8293,1.0563,0.0000,0.0000,0.0000,20.6725,-1.1707,22.3237,0.0000,0.4681,-0.5005,14.8408,13.8217,71.3376,7.2561
+18-2,VEH-EURO6_2018_Class-3,RegionalDelivery.vdri,Success,6980.0000,8020.0000,1575.4118,25.8360,59.0383,0.0101,11601.2813,196.5044,11601.2813,196.5044,11601.2813,196.5044,11601.2813,196.5044,11601.2813,196.5044,23.6183,2.9449,620.9539,77.4257,50.0776,7.1090,0.0000,0.0000,95.0295,-12.7639,84.8771,0.2937,0.1620,0.0876,0.5691,0.6254,1.7377,10.5254,6.5598,-0.0003,0.0000,3.1110,0.9801,1.2358,0.0000,0.0000,0.0000,23.9980,-1.5599,25.6193,0.0000,0.4117,-0.4637,17.9161,15.6290,66.4549,7.2362
+18-3,VEH-EURO6_2018_Class-3,UrbanDelivery.vdri,Success,6980.0000,0.0000,3245.8474,27.8160,30.8510,-0.0158,4879.4997,158.1635,4879.4997,158.1635,4879.4997,158.1635,4879.4997,158.1635,4879.4997,158.1635,19.0100,,499.7966,,16.6975,4.6762,0.0000,0.0000,35.4669,-7.5806,29.2015,0.4653,0.3156,0.1353,1.0821,1.2882,3.2865,5.8722,3.5476,-0.0001,0.0000,4.2162,0.7048,0.8621,0.0000,0.0000,0.0000,16.5594,-1.2799,20.2969,0.0000,0.5108,-0.6156,20.8320,17.3498,61.8182,19.6867
+18-4,VEH-EURO6_2018_Class-3,UrbanDelivery.vdri,Success,6980.0000,4205.8824,3249.0575,27.8160,30.8205,-0.0158,6186.9789,200.7423,6186.9789,200.7423,6186.9789,200.7423,6186.9789,200.7423,6186.9789,200.7423,24.1277,5.7367,634.3456,150.8234,23.0424,8.3501,0.0000,0.0000,52.6056,-9.3323,40.2053,0.4658,0.3159,0.1354,1.0832,1.2895,3.2898,5.8621,5.4234,-0.0001,0.0000,7.5361,0.9382,1.1902,0.0000,0.0000,0.0000,22.8502,-1.7866,26.6484,0.0000,0.5049,-0.6005,20.9975,17.7648,61.2377,19.6672
+18-5,VEH-EURO6_2018_Class-3,UrbanDelivery.vdri,Success,6980.0000,8020.0000,3253.6374,27.8160,30.7771,-0.0158,7371.8979,239.5252,7371.8979,239.5252,7371.8979,239.5252,7371.8979,239.5252,7371.8979,239.5252,28.7891,3.5897,756.8998,94.3765,28.7026,11.9696,0.0000,0.0000,68.2548,-9.9312,49.9318,0.4664,0.3164,0.1356,1.0847,1.2913,3.2944,5.8385,7.0624,-0.0002,0.0000,10.8180,1.1915,1.4734,0.0000,0.0000,0.0000,28.5349,-2.0181,32.3799,0.0000,0.4897,-0.6023,21.8875,17.9219,60.1906,19.6396
+19-0,VEH-EURO6_2018_Class-4,LongHaul.vdri,Success,15700.0000,0.0000,4526.4065,100.1850,79.6804,-2.5494,17856.1709,224.0973,17856.1709,224.0973,17856.1709,224.0973,17856.1709,224.0973,17856.1709,224.0973,26.9348,,708.1476,,82.0650,4.0341,0.0000,0.0000,98.1732,-19.3730,100.6988,0.7772,0.7671,0.4402,1.7607,2.1559,5.9011,70.0871,26.2413,-0.1037,0.0000,5.0722,2.5077,4.3719,0.0000,1.9087,0.0000,111.6898,-1.6091,117.5401,0.0000,0.4400,-0.5129,4.4410,3.8003,91.7587,1.4802
+19-1,VEH-EURO6_2018_Class-4,LongHaul.vdri,Success,15700.0000,14000.0000,4563.3555,100.1850,79.0353,-2.5494,22136.9330,280.0893,22136.9330,280.0893,22136.9330,280.0893,22136.9330,280.0893,22136.9330,280.0893,33.6646,2.4046,885.0823,63.2202,103.7787,9.6786,0.0000,0.0000,130.8970,-20.7434,132.2216,0.7835,0.7734,0.4438,1.7750,2.1735,5.9492,69.4723,46.5753,-0.1961,0.0000,12.2686,3.4868,5.6131,0.0000,1.9046,0.0000,142.0197,-2.9379,147.7124,0.0000,0.3763,-0.4017,4.9091,4.8652,90.2257,1.4682
+19-2,VEH-EURO6_2018_Class-4,LongHaul.vdri,Success,15700.0000,20300.0000,4600.6186,100.1850,78.3951,-2.5494,24006.0253,306.2184,24006.0253,306.2184,24006.0253,306.2184,24006.0253,306.2184,24006.0253,306.2184,36.8051,1.8131,967.6502,47.6675,113.0429,12.7129,0.0000,0.0000,144.4423,-22.7330,145.6253,0.7899,0.7797,0.4474,1.7895,2.1912,5.9978,68.9794,55.3793,-0.2377,0.0000,16.2464,4.0738,6.1768,0.0000,1.9014,0.0000,155.9884,-3.5378,161.7043,0.0000,0.3254,-0.4131,6.1087,4.8261,89.0652,1.4563
+19-3,VEH-EURO6_2018_Class-4,RegionalDelivery.vdri,Success,10300.0000,0.0000,1567.6750,25.8360,59.3296,0.0101,10675.5832,179.9368,10675.5832,179.9368,10675.5832,179.9368,10675.5832,179.9368,10675.5832,179.9368,21.6270,,568.6001,,44.6889,3.7998,0.0000,0.0000,71.1963,-13.7432,66.5831,0.2923,0.2483,0.0871,0.5663,0.6223,1.8163,12.0934,4.4134,-0.0002,0.0000,1.6547,0.6362,0.8609,0.0000,0.4730,0.0000,21.2326,-1.0986,23.1251,0.0000,0.4814,-0.5375,14.1672,12.6356,73.1972,7.2719
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+19-6,VEH-EURO6_2018_Class-4,MunicipalUtility.vdri,Success,10300.0000,0.0000,4514.1886,9.9620,7.9446,-0.0720,3449.9222,434.2501,3449.9222,434.2501,3449.9222,434.2501,3449.9222,434.2501,3449.9222,434.2501,52.1935,,1372.2305,,6.4366,2.2422,0.0000,0.0000,41.6094,-10.7361,13.5672,0.7098,0.6396,0.3762,1.5049,1.7915,5.0221,2.7030,1.7020,-0.0020,0.0000,2.8116,0.5135,0.3702,0.0000,0.1679,0.0000,9.1013,-0.7275,15.2073,0.0000,0.5182,-0.5871,12.2313,10.8354,76.9333,70.7104
+19-7,VEH-EURO6_2018_Class-4,MunicipalUtility.vdri,Success,10300.0000,4400.0000,4513.9792,9.9620,7.9449,-0.0720,3807.7142,479.2641,3807.7142,479.2641,3807.7142,479.2641,3807.7142,479.2641,3807.7142,479.2641,57.6039,13.0918,1514.4744,344.1987,8.2892,3.4409,0.0000,0.0000,53.9192,-13.3604,15.8472,0.7098,0.6396,0.3762,1.5048,1.7915,5.0218,2.7018,2.3442,-0.0029,0.0000,4.3145,0.6257,0.4738,0.0000,0.1678,0.0000,11.6570,-0.8745,17.7823,0.0000,0.5113,-0.5926,12.3643,10.6581,76.9776,70.7137
+19-8,VEH-EURO6_2018_Class-4,MunicipalUtility.vdri,Success,10300.0000,7700.0000,4514.5078,9.9620,7.9440,-0.0720,4066.8538,511.9410,4066.8538,511.9410,4066.8538,511.9410,4066.8538,511.9410,4066.8538,511.9410,61.5314,7.9911,1617.7336,210.0953,9.6140,4.3125,0.0000,0.0000,63.4267,-14.3824,17.5110,0.7099,0.6396,0.3763,1.5050,1.7917,5.0224,2.6921,2.8129,-0.0035,0.0000,5.4080,0.7137,0.5473,0.0000,0.1678,0.0000,13.4985,-0.9697,19.6401,0.0000,0.5113,-0.5882,12.3615,10.7444,76.8941,70.7054
+20-0,VEH-EURO6_2018_Class-9,LongHaul.vdri,Success,16900.0000,0.0000,4528.8735,100.1850,79.6370,-2.5494,18406.9631,231.1358,18406.9631,231.1358,18406.9631,231.1358,18406.9631,231.1358,18406.9631,231.1358,27.7807,,730.3890,,84.8149,4.4719,0.0000,0.0000,101.8746,-20.0768,104.6136,0.7776,0.9060,0.4404,1.7616,2.1571,6.0427,70.9097,28.2353,-0.1116,0.0000,5.6257,2.6302,4.5242,0.0000,1.9084,0.0000,115.4582,-1.7445,121.4329,0.0000,0.4345,-0.5028,4.5053,3.8869,91.6078,1.4794
+20-1,VEH-EURO6_2018_Class-9,LongHaul.vdri,Success,16900.0000,19300.0000,4601.8133,100.1850,78.3748,-2.5494,24248.5065,309.3918,24248.5065,309.3918,24248.5065,309.3918,24248.5065,309.3918,24248.5065,309.3918,37.1865,1.9268,977.6781,50.6569,114.1766,12.7215,0.0000,0.0000,145.7221,-22.7797,147.0284,0.7901,0.9206,0.4475,1.7900,2.1918,6.1400,69.7994,56.0444,-0.2390,0.0000,16.2617,4.1113,6.2383,0.0000,1.9012,0.0000,157.5780,-3.5294,163.4150,0.0000,0.3251,-0.4100,6.0639,4.8685,89.0676,1.4559
+20-2,VEH-EURO6_2018_Class-9,LongHaul.vdri,Success,16900.0000,23100.0000,4622.3449,100.1850,78.0266,-2.5494,25361.6151,325.0379,25361.6151,325.0379,25361.6151,325.0379,25361.6151,325.0379,25361.6151,325.0379,39.0671,1.6912,1027.1199,44.4641,119.5766,14.5357,0.0000,0.0000,153.8928,-23.0048,154.6879,0.7937,0.9247,0.4495,1.7980,2.2016,6.1674,69.4520,61.3125,-0.2641,0.0000,18.6636,4.4215,6.5654,0.0000,1.8989,0.0000,165.7446,-3.7786,171.5887,0.0000,0.3267,-0.3939,5.9282,5.2575,88.8144,1.4495
+20-3,VEH-EURO6_2018_Class-9,RegionalDelivery.vdri,Success,11500.0000,0.0000,1567.5031,25.8360,59.3361,0.0101,11142.0970,187.7792,11142.0970,187.7792,11142.0970,187.7792,11142.0970,187.7792,11142.0970,187.7792,22.5696,,593.3824,,47.3406,4.4555,0.0000,0.0000,77.4198,-14.5494,72.0068,0.2923,0.2570,0.0871,0.5662,0.6222,1.8248,12.2842,4.8823,-0.0002,0.0000,1.9400,0.6802,0.9169,0.0000,0.4731,0.0000,22.4537,-1.2743,24.3247,0.0000,0.4688,-0.5301,14.6777,12.8909,72.4314,7.2727
+20-4,VEH-EURO6_2018_Class-9,RegionalDelivery.vdri,Success,11500.0000,7100.0000,1569.6937,25.8360,59.2533,0.0101,13565.3520,228.9382,13565.3520,228.9382,13565.3520,228.9382,13565.3520,228.9382,13565.3520,228.9382,27.5166,3.8756,723.4446,101.8936,60.4413,8.6938,0.0000,0.0000,115.1053,-18.6364,102.4430,0.2927,0.2573,0.0872,0.5670,0.6231,1.8273,12.3185,7.5260,-0.0003,0.0000,3.7907,0.9549,1.2027,0.0000,0.4733,0.0000,28.5913,-2.3343,30.3710,0.0000,0.4448,-0.4849,15.8062,14.4678,69.7259,7.2626
+20-5,VEH-EURO6_2018_Class-9,RegionalDelivery.vdri,Success,11500.0000,14500.0000,1575.3010,25.8360,59.0424,0.0101,16042.6183,271.7134,16042.6183,271.7134,16042.6183,271.7134,16042.6183,271.7134,16042.6183,271.7134,32.6579,2.2523,858.6143,59.2148,73.0769,13.8516,0.0000,0.0000,152.7275,-20.1499,132.0761,0.2937,0.2583,0.0875,0.5690,0.6253,1.8339,12.2890,10.1736,-0.0005,0.0000,6.0612,1.2064,1.4653,0.0000,0.4731,0.0000,34.6272,-2.9835,36.3318,0.0000,0.3916,-0.4407,18.6785,16.5184,64.8030,7.2367
+20-6,VEH-EURO6_2018_Class-9,MunicipalUtility.vdri,Success,11500.0000,0.0000,4514.7473,9.9620,7.9436,-0.0720,3553.7243,447.3713,3553.7243,447.3713,3553.7243,447.3713,3553.7243,447.3713,3553.7243,447.3713,53.7706,,1413.6934,,6.9918,2.5949,0.0000,0.0000,45.1910,-11.2093,14.2573,0.7099,0.6397,0.3763,1.5051,1.7918,5.0227,2.7428,1.8829,-0.0022,0.0000,3.2542,0.5423,0.4006,0.0000,0.1678,0.0000,9.8670,-0.7592,15.9768,0.0000,0.5153,-0.5920,12.2951,10.7222,76.9827,70.7016
+20-7,VEH-EURO6_2018_Class-9,MunicipalUtility.vdri,Success,11500.0000,7100.0000,4515.4522,9.9620,7.9423,-0.0720,4127.8039,519.7222,4127.8039,519.7222,4127.8039,519.7222,4127.8039,519.7222,4127.8039,519.7222,62.4666,8.7981,1642.3222,231.3130,9.9165,4.5101,0.0000,0.0000,65.3660,-14.4191,17.9072,0.7100,0.6398,0.3763,1.5053,1.7920,5.0235,2.7246,2.9024,-0.0036,0.0000,5.6570,0.7349,0.5637,0.0000,0.1677,0.0000,13.9149,-0.9783,20.0684,0.0000,0.5043,-0.5858,12.5388,10.7887,76.6726,70.6906
+20-8,VEH-EURO6_2018_Class-9,MunicipalUtility.vdri,Success,11500.0000,14500.0000,4521.5105,9.9620,7.9317,-0.0720,4703.3533,592.9828,4703.3533,592.9828,4703.3533,592.9828,4703.3533,592.9828,4703.3533,592.9828,71.2720,4.9153,1873.8257,129.2294,12.6356,6.5220,0.0000,0.0000,84.7466,-15.7941,21.1307,0.7110,0.6406,0.3768,1.5073,1.7944,5.0302,2.6809,3.9235,-0.0051,0.0000,8.1915,0.9465,0.7037,0.0000,0.1674,0.0000,17.7362,-0.9209,23.9677,0.0000,0.5045,-0.5807,12.3866,10.7941,76.8193,70.5959
+21-0,VEH-EURO6_2018_Class-11,LongHaul.vdri,Success,15500.0000,0.0000,4520.6266,100.1850,79.7823,-2.5494,22541.7937,282.5413,22541.7937,282.5413,22541.7937,282.5413,22541.7937,282.5413,22541.7937,282.5413,33.9593,,892.8304,,100.1021,3.4147,0.0000,0.0000,122.1057,-26.2287,124.5757,0.7762,0.9043,0.4396,1.7584,2.1532,6.0317,89.1301,30.4324,-0.1023,0.0000,4.2880,3.0657,12.5932,0.0000,0.0000,0.0000,141.1211,-1.7147,147.1904,0.0000,0.4521,-0.5879,4.3805,3.3407,92.2788,1.4821
+21-1,VEH-EURO6_2018_Class-11,LongHaul.vdri,Success,15500.0000,19300.0000,4569.1948,100.1850,78.9343,-2.5494,29292.7064,371.1026,29292.7064,371.1026,29292.7064,371.1026,29292.7064,371.1026,29292.7064,371.1026,44.6037,2.3111,1172.6841,60.7608,132.6512,10.5844,0.0000,0.0000,171.1503,-29.3970,171.2321,0.7846,0.9140,0.4443,1.7773,2.1763,6.0965,88.0295,63.0172,-0.2298,0.0000,13.4339,4.5808,16.9909,0.0000,0.0000,0.0000,189.3826,-3.6184,195.3383,0.0000,0.3811,-0.4249,4.7275,4.5086,90.7638,1.4663
+21-10,VEH-EURO6_2018_Class-11,Construction.vdri,Success,10100.0000,7100.0000,2421.5931,21.2190,31.5447,-0.1940,10839.6306,343.6278,10839.6306,343.6278,10839.6306,343.6278,10839.6306,343.6278,10839.6306,343.6278,41.3014,5.8171,1085.8637,152.9386,41.8334,15.0035,0.0000,0.0000,121.1268,-18.8693,76.5342,0.6977,0.5181,0.1346,0.8746,0.9611,3.1861,7.7555,7.2455,-0.0027,0.0000,10.0924,1.2587,3.0349,0.0000,0.0000,0.0000,32.1164,-2.6658,36.3790,0.0000,0.5058,-0.6831,26.1462,19.3722,54.4816,26.8418
+21-2,VEH-EURO6_2018_Class-11,LongHaul.vdri,Success,15500.0000,24500.0000,4594.5625,100.1850,78.4984,-2.5494,31016.7379,395.1255,31016.7379,395.1255,31016.7379,395.1255,31016.7379,395.1255,31016.7379,395.1255,47.4910,1.9384,1248.5966,50.9631,140.7972,12.7672,0.0000,0.0000,184.1602,-29.9286,184.2754,0.7889,0.9191,0.4468,1.7872,2.1884,6.1303,87.5248,71.4318,-0.2641,0.0000,16.2944,5.0043,18.1608,0.0000,0.0000,0.0000,202.2200,-4.1447,208.1434,0.0000,0.3595,-0.4045,5.0501,4.8977,90.0522,1.4582
+21-3,VEH-EURO6_2018_Class-11,RegionalDelivery.vdri,Success,10100.0000,0.0000,1568.1892,25.8360,59.3102,0.0101,13612.3100,229.5105,13612.3100,229.5105,13612.3100,229.5105,13612.3100,229.5105,13612.3100,229.5105,27.5854,,725.2531,,55.3383,3.3752,0.0000,0.0000,85.9249,-14.6104,80.0939,0.2924,0.2571,0.0871,0.5665,0.6225,1.8256,16.0840,5.4647,-0.0002,0.0000,1.4703,0.7525,2.4741,0.0000,0.0000,0.0000,27.2007,-0.9427,29.1945,0.0000,0.4866,-0.5541,14.1034,12.3165,73.5801,7.2695
+21-4,VEH-EURO6_2018_Class-11,RegionalDelivery.vdri,Success,10100.0000,7100.0000,1569.1117,25.8360,59.2753,0.0101,16289.0539,274.8033,16289.0539,274.8033,16289.0539,274.8033,16289.0539,274.8033,16289.0539,274.8033,33.0292,4.6520,868.3784,122.3068,69.0413,6.6380,0.0000,0.0000,120.4621,-20.5228,109.5368,0.2926,0.2572,0.0872,0.5668,0.6229,1.8267,16.0935,8.8238,-0.0003,0.0000,2.8933,1.0266,3.1649,0.0000,0.0000,0.0000,33.9975,-1.9891,35.9109,0.0000,0.4694,-0.5313,14.6684,12.8189,72.5128,7.2653
+21-5,VEH-EURO6_2018_Class-11,RegionalDelivery.vdri,Success,10100.0000,15900.0000,1574.8951,25.8360,59.0576,0.0101,19849.0249,336.0958,19849.0249,336.0958,19849.0249,336.0958,19849.0249,336.0958,19849.0249,336.0958,40.3961,2.5406,1062.0626,66.7964,86.2333,12.1560,0.0000,0.0000,167.7373,-25.9207,147.2998,0.2936,0.2582,0.0875,0.5689,0.6252,1.8334,16.0742,12.7983,-0.0005,0.0000,5.3179,1.3928,4.0231,0.0000,0.0000,0.0000,42.6888,-3.1090,44.5671,0.0000,0.4087,-0.4943,16.8996,13.7865,69.3139,7.2386
+21-6,VEH-EURO6_2018_Class-11,MunicipalUtility.vdri,Success,10100.0000,0.0000,4511.0431,9.9620,7.9501,-0.0720,3882.9207,488.4121,3882.9207,488.4121,3882.9207,488.4121,3882.9207,488.4121,3882.9207,488.4121,58.7034,,1543.3824,,7.4845,2.2058,0.0000,0.0000,48.9029,-11.7365,15.2566,0.7093,0.6391,0.3760,1.5038,1.7903,5.0186,3.6378,2.1075,-0.0020,0.0000,2.7640,0.5413,0.9998,0.0000,0.0000,0.0000,10.9139,-0.7655,17.1320,0.0000,0.5147,-0.6075,12.3725,10.4878,77.1397,70.7597
+21-7,VEH-EURO6_2018_Class-11,MunicipalUtility.vdri,Success,10100.0000,7100.0000,4513.9615,9.9620,7.9450,-0.0720,4488.1172,564.9019,4488.1172,564.9019,4488.1172,564.9019,4488.1172,564.9019,4488.1172,564.9019,67.8969,9.5629,1785.0898,251.4211,10.4133,4.0067,0.0000,0.0000,70.8557,-15.1046,19.1766,0.7098,0.6395,0.3762,1.5048,1.7915,5.0218,3.5848,3.4029,-0.0034,0.0000,5.0239,0.7361,1.3783,0.0000,0.0000,0.0000,15.2067,-0.8969,21.4748,0.0000,0.5209,-0.5922,12.1649,10.7246,77.1106,70.7139
+21-8,VEH-EURO6_2018_Class-11,MunicipalUtility.vdri,Success,10100.0000,15900.0000,4517.8294,9.9620,7.9381,-0.0720,5334.3441,671.9885,5334.3441,671.9885,5334.3441,671.9885,5334.3441,671.9885,5334.3441,671.9885,80.7678,5.0797,2123.4835,133.5524,14.1906,6.5655,0.0000,0.0000,97.9423,-18.7719,24.0308,0.7104,0.6401,0.3765,1.5061,1.7930,5.0261,3.5632,4.9357,-0.0051,0.0000,8.2394,1.0217,1.8505,0.0000,0.0000,0.0000,20.7645,-0.9297,27.1432,0.0000,0.5118,-0.5939,12.2426,10.6265,77.1308,70.6534
+21-9,VEH-EURO6_2018_Class-11,Construction.vdri,Success,10100.0000,0.0000,2418.4813,21.2190,31.5853,-0.1940,8356.6344,264.5737,8356.6344,264.5737,8356.6344,264.5737,8356.6344,264.5737,8356.6344,264.5737,31.7997,,836.0530,,29.3843,7.7957,0.0000,0.0000,78.7678,-15.6471,54.1353,0.6968,0.5174,0.1344,0.8735,0.9599,3.1820,7.8100,4.4873,-0.0016,0.0000,5.2371,0.8067,2.1347,0.0000,0.0000,0.0000,22.4526,-1.9321,26.7196,0.0000,0.5142,-0.7318,25.5275,17.9975,56.4750,26.8764
+22-0,VEH-EURO6_2018_Class-16,Construction.vdri,Success,11300.0000,0.0000,2419.5106,21.2190,31.5718,-0.1940,8784.5825,278.2411,8784.5825,278.2411,8784.5825,278.2411,8784.5825,278.2411,8784.5825,278.2411,33.4424,,879.2418,,32.2524,8.8219,0.0000,0.0000,88.2706,-15.4416,59.0857,0.6971,0.5176,0.1344,0.8739,0.9603,3.1834,8.5516,4.9460,-0.0018,0.0000,5.9291,0.9029,2.3298,0.0000,0.0000,0.0000,24.6765,-1.9619,28.9110,0.0000,0.5116,-0.7043,25.6718,18.7681,55.5601,26.8649
+22-1,VEH-EURO6_2018_Class-16,Construction.vdri,Success,11300.0000,12900.0000,2439.1198,21.2190,31.3180,-0.1940,13498.8165,431.0240,13498.8165,431.0240,13498.8165,431.0240,13498.8165,431.0240,13498.8165,431.0240,51.8058,4.0160,1362.0357,105.5842,54.4883,23.0892,0.0000,0.0000,161.6900,-19.2397,97.7643,0.7027,0.5218,0.1355,0.8810,0.9681,3.2092,8.2779,9.8156,-0.0038,0.0000,15.6437,1.7675,3.9142,0.0000,0.0000,0.0000,42.2297,-2.7840,46.5136,0.0000,0.4872,-0.6564,26.5792,19.9344,53.4865,26.6490
+23-0,VEH-EURO6_2018_Class-5,LongHaul.vdri,Success,15729.2000,0.0000,4526.4467,100.1850,79.6797,-2.5494,15972.2587,200.4558,15972.2587,200.4558,15972.2587,200.4558,15972.2587,200.4558,15972.2587,200.4558,24.0932,,633.4402,,71.9898,4.2689,0.0000,0.0000,87.1570,-20.4925,90.3001,0.7772,0.9055,0.4402,1.7607,2.1559,6.0395,56.3411,26.6692,-0.1039,0.0000,5.3675,2.2531,3.8577,0.0000,1.9087,0.0000,98.2129,-1.9246,104.1350,0.0000,0.4410,-0.5080,4.4410,3.7782,91.7808,1.4802
+23-1,VEH-EURO6_2018_Class-5,LongHaul.vdri,Success,15729.2000,19300.0000,4587.5690,100.1850,78.6181,-2.5494,22004.2631,279.8880,22004.2631,279.8880,22004.2631,279.8880,22004.2631,279.8880,22004.2631,279.8880,33.6404,1.7430,884.4460,45.8262,102.8403,12.8757,0.0000,0.0000,132.8858,-22.9779,134.3446,0.7877,0.9177,0.4461,1.7844,2.1850,6.1210,55.6008,54.8228,-0.2313,0.0000,16.4078,3.6513,5.6317,0.0000,1.9028,0.0000,141.5733,-3.8480,147.3131,0.0000,0.3417,-0.4236,5.6464,4.6000,89.7537,1.4605
+23-2,VEH-EURO6_2018_Class-5,LongHaul.vdri,Success,15729.2000,24270.8000,4611.4864,100.1850,78.2104,-2.5494,23529.3875,300.8475,23529.3875,300.8475,23529.3875,300.8475,23529.3875,300.8475,23529.3875,300.8475,36.1596,1.4898,950.6780,39.1696,110.3035,15.3298,0.0000,0.0000,144.3238,-22.9014,145.0550,0.7918,0.9225,0.4484,1.7937,2.1964,6.1529,55.3330,61.7772,-0.2641,0.0000,19.6369,4.1153,6.0724,0.0000,1.9006,0.0000,152.6437,-4.1541,158.3858,0.0000,0.3323,-0.3904,5.7471,5.3134,88.9395,1.4529
+23-3,VEH-EURO6_2018_Class-5,RegionalDelivery.vdri,Success,15729.2000,0.0000,1569.0846,25.8360,59.2763,0.0101,12672.9187,213.7939,12672.9187,213.7939,12672.9187,213.7939,12672.9187,213.7939,12672.9187,213.7939,25.6964,,675.5886,,55.6821,6.9892,0.0000,0.0000,99.4777,-17.7001,90.8622,0.2926,0.2921,0.0872,0.5668,0.6229,1.8615,12.0815,6.8440,-0.0003,0.0000,3.0463,0.8514,1.0997,0.0000,0.4732,0.0000,26.3603,-1.9687,28.1971,0.0000,0.4434,-0.5089,15.8163,13.6480,70.5357,7.2654
+23-4,VEH-EURO6_2018_Class-5,RegionalDelivery.vdri,Success,15729.2000,12900.0000,1578.8509,25.8360,58.9097,0.0101,17110.6904,290.4563,17110.6904,290.4563,17110.6904,290.4563,17110.6904,290.4563,17110.6904,290.4563,34.9106,2.7062,917.8420,71.1505,78.2213,15.8472,0.0000,0.0000,165.8755,-20.7728,143.4562,0.2944,0.2939,0.0877,0.5703,0.6267,1.8731,12.0232,11.7328,-0.0005,0.0000,6.9501,1.3239,1.5679,0.0000,0.4727,0.0000,37.1487,-3.1139,38.8816,0.0000,0.3795,-0.4216,19.6451,17.6172,62.7376,7.2204
+23-5,VEH-EURO6_2018_Class-5,RegionalDelivery.vdri,Success,15729.2000,24270.8000,1601.8918,25.8360,58.0623,0.0101,20640.3452,355.4859,20640.3452,355.4859,20640.3452,355.4859,20640.3452,355.4859,20640.3452,355.4859,42.7267,1.7604,1123.3354,46.2834,95.4987,24.2045,0.0000,0.0000,208.8235,-22.1319,179.5607,0.2987,0.2982,0.0890,0.5786,0.6359,1.9004,11.7771,15.8535,-0.0007,0.0000,10.7703,1.7703,1.9281,0.0000,0.4707,0.0000,46.0516,-3.5494,47.7901,0.0000,0.3119,-0.3857,24.7970,19.8626,55.3404,7.1166
+24-0,VEH-EURO6_2018_Class-10,LongHaul.vdri,Success,16510.0000,0.0000,4526.2669,100.1850,79.6829,-2.5494,16414.5686,205.9987,16414.5686,205.9987,16414.5686,205.9987,16414.5686,205.9987,16414.5686,205.9987,24.7595,,650.9558,,73.7187,4.5404,0.0000,0.0000,89.3702,-21.7060,92.2001,0.7772,0.7168,0.4402,1.7606,2.1558,5.8506,57.2203,27.4533,-0.1090,0.0000,5.7087,2.2929,3.9547,0.0000,1.9088,0.0000,100.5066,-2.0827,106.2507,0.0000,0.4442,-0.5181,4.4189,3.6677,91.9134,1.4802
+24-1,VEH-EURO6_2018_Class-10,LongHaul.vdri,Success,16510.0000,19300.0000,4571.0571,100.1850,78.9021,-2.5494,22437.9711,284.3774,22437.9711,284.3774,22437.9711,284.3774,22437.9711,284.3774,22437.9711,284.3774,34.1800,1.7710,898.6325,46.5613,104.8338,13.2886,0.0000,0.0000,135.6547,-24.2152,136.9100,0.7849,0.7239,0.4445,1.7780,2.1772,5.9085,56.6561,55.1095,-0.2364,0.0000,16.8730,3.6572,5.7274,0.0000,1.9044,0.0000,143.7237,-4.0921,149.2691,0.0000,0.3686,-0.4273,5.0317,4.5285,90.4397,1.4657
+24-2,VEH-EURO6_2018_Class-10,LongHaul.vdri,Success,16510.0000,23490.0000,4596.7819,100.1850,78.4605,-2.5494,23663.8896,301.6024,23663.8896,301.6024,23663.8896,301.6024,23663.8896,301.6024,23663.8896,301.6024,36.2503,1.5432,953.0637,40.5732,110.9126,15.3324,0.0000,0.0000,145.0766,-24.1575,145.6253,0.7893,0.7280,0.4470,1.7880,2.1894,5.9417,56.3835,60.8803,-0.2641,0.0000,19.5777,3.9887,6.0950,0.0000,1.9022,0.0000,152.8650,-4.3785,158.4080,0.0000,0.3309,-0.4032,5.9399,5.0044,89.0557,1.4575
+24-3,VEH-EURO6_2018_Class-10,RegionalDelivery.vdri,Success,16510.0000,0.0000,1568.6327,25.8360,59.2934,0.0101,13086.4143,220.7060,13086.4143,220.7060,13086.4143,220.7060,13086.4143,220.7060,13086.4143,220.7060,26.5272,,697.4310,,57.5045,7.4302,0.0000,0.0000,103.4912,-19.0072,94.1687,0.2925,0.2484,0.0872,0.5666,0.6227,1.8174,12.2726,7.0520,-0.0003,0.0000,3.2376,0.8754,1.1400,0.0000,0.4733,0.0000,27.1971,-2.1518,28.9985,0.0000,0.4418,-0.5073,15.9439,13.7117,70.3444,7.2675
+24-4,VEH-EURO6_2018_Class-10,RegionalDelivery.vdri,Success,16510.0000,12900.0000,1575.9892,25.8360,59.0166,0.0101,17536.4296,297.1438,17536.4296,297.1438,17536.4296,297.1438,17536.4296,297.1438,17536.4296,297.1438,35.7144,2.7686,938.9744,72.7887,80.3150,16.4976,0.0000,0.0000,170.9308,-21.9701,147.3091,0.2938,0.2496,0.0876,0.5693,0.6256,1.8259,12.2487,11.8573,-0.0005,0.0000,7.2222,1.3319,1.6125,0.0000,0.4731,0.0000,38.0453,-3.3356,39.7320,0.0000,0.3875,-0.4299,18.8571,17.0159,64.1270,7.2336
+24-5,VEH-EURO6_2018_Class-10,RegionalDelivery.vdri,Success,16510.0000,23490.0000,1593.2693,25.8360,58.3766,0.0101,20968.3383,359.1910,20968.3383,359.1910,20968.3383,359.1910,20968.3383,359.1910,20968.3383,359.1910,43.1720,1.8379,1135.0435,48.3203,97.0866,24.6035,0.0000,0.0000,216.0098,-23.4445,184.4997,0.2971,0.2523,0.0885,0.5755,0.6324,1.8459,12.0649,15.6385,-0.0007,0.0000,10.8889,1.7684,1.9587,0.0000,0.4716,0.0000,46.5371,-3.8154,48.2261,0.0000,0.3272,-0.3904,23.6181,19.5980,56.7839,7.1551
+25-0,VEH-EURO6_2018_Class-1,RegionalDelivery.vdri,Success,5610.0000,0.0000,1572.5858,25.8360,59.1444,0.0101,7760.2921,131.2093,7760.2921,131.2093,7760.2921,131.2093,7760.2921,131.2093,7760.2921,131.2093,15.7703,,414.6214,,31.8800,1.8704,0.0000,0.0000,48.0434,-6.5146,45.9780,0.2932,0.1224,0.0655,0.5681,0.6242,1.6734,9.8385,2.8013,-0.0001,0.0000,0.8171,0.6155,0.7556,0.0000,0.0000,0.0000,15.2607,-0.4112,16.9532,0.0000,0.4803,-0.5347,14.4402,12.9135,72.6463,7.2492
+25-1,VEH-EURO6_2018_Class-1,RegionalDelivery.vdri,Success,5610.0000,1250.0000,1573.7393,25.8360,59.1010,0.0101,8159.6550,138.0628,8159.6550,138.0628,8159.6550,138.0628,8159.6550,138.0628,8159.6550,138.0628,16.5941,13.2753,436.2786,349.0229,34.0063,2.4243,0.0000,0.0000,52.7715,-7.7462,49.9162,0.2934,0.1224,0.0656,0.5685,0.6247,1.6746,9.8209,3.3573,-0.0001,0.0000,1.0598,0.6543,0.8126,0.0000,0.0000,0.0000,16.2824,-0.5545,17.9354,0.0000,0.4618,-0.5277,15.0668,12.9053,72.0280,7.2439
+25-2,VEH-EURO6_2018_Class-1,RegionalDelivery.vdri,Success,5610.0000,1890.0000,1575.5460,25.8360,59.0333,0.0101,8363.0606,141.6669,8363.0606,141.6669,8363.0606,141.6669,8363.0606,141.6669,8363.0606,141.6669,17.0273,9.0091,447.6676,236.8611,34.9995,2.7318,0.0000,0.0000,55.5556,-8.1033,52.1613,0.2938,0.1226,0.0657,0.5691,0.6254,1.6766,9.7852,3.6379,-0.0001,0.0000,1.1956,0.6756,0.8398,0.0000,0.0000,0.0000,16.7779,-0.6198,18.4361,0.0000,0.4516,-0.5086,15.4286,13.4603,71.1111,7.2356
+25-3,VEH-EURO6_2018_Class-1,UrbanDelivery.vdri,Success,5610.0000,0.0000,3251.2440,27.8160,30.7998,-0.0158,4107.6526,133.3663,4107.6526,133.3663,4107.6526,133.3663,4107.6526,133.3663,4107.6526,133.3663,16.0296,,421.4375,,14.2044,3.6198,0.0000,0.0000,29.9721,-5.7486,25.1707,0.4661,0.2439,0.1355,1.0839,1.2904,3.2197,5.4779,3.0160,-0.0001,0.0000,3.2692,0.6307,0.7283,0.0000,0.0000,0.0000,14.1420,-0.9410,17.6488,0.0000,0.5092,-0.6133,20.8308,17.3538,61.8154,19.6540
+25-4,VEH-EURO6_2018_Class-1,UrbanDelivery.vdri,Success,5610.0000,1250.0000,3250.0188,27.8160,30.8114,-0.0158,4493.4158,145.8362,4493.4158,145.8362,4493.4158,145.8362,4493.4158,145.8362,4493.4158,145.8362,17.5284,14.0227,460.8424,368.6739,16.1041,4.6516,0.0000,0.0000,34.8237,-6.4598,28.2925,0.4659,0.2438,0.1354,1.0835,1.2899,3.2185,5.4760,3.6145,-0.0001,0.0000,4.1993,0.6967,0.8269,0.0000,0.0000,0.0000,16.0177,-1.1073,19.5251,0.0000,0.5095,-0.6089,20.7756,17.4823,61.7421,19.6614
+25-5,VEH-EURO6_2018_Class-1,UrbanDelivery.vdri,Success,5610.0000,1890.0000,3250.3560,27.8160,30.8082,-0.0158,4708.4091,152.8298,4708.4091,152.8298,4708.4091,152.8298,4708.4091,152.8298,4708.4091,152.8298,18.3690,9.7190,482.9421,255.5249,17.0938,5.2732,0.0000,0.0000,37.5168,-6.6371,29.9122,0.4660,0.2438,0.1355,1.0836,1.2900,3.2189,5.4692,3.9166,-0.0001,0.0000,4.7610,0.7414,0.8756,0.0000,0.0000,0.0000,17.0072,-1.1419,20.5475,0.0000,0.5049,-0.6107,20.9295,17.4515,61.6190,19.6594
diff --git a/Documentation/VECTO_3.1.1.748.vsum b/Documentation/VECTO_3.1.1.748.vsum
new file mode 100644
index 0000000000000000000000000000000000000000..8b89f5724ec7b57cc4d5964e25e7793ed9654eea
--- /dev/null
+++ b/Documentation/VECTO_3.1.1.748.vsum
@@ -0,0 +1,65 @@
+Job [-],Input File [-],Cycle [-],Status,Mass [kg],Loading [kg],time [s],distance [km],speed [km/h],altitudeDelta [m],FC-Map [g/h],FC-Map [g/km],FC-AUXc [g/h],FC-AUXc [g/km],FC-WHTCc [g/h],FC-WHTCc [g/km],FC-AAUX [g/h],FC-AAUX [g/km],FC-Final [g/h],FC-Final [g/km],FC-Final [l/100km],FC-Final [l/100tkm],CO2 [g/km],CO2 [g/tkm],P_wheel_in_pos [kW],P_brake_loss [kW],P_angle_loss [kW],P_tc_loss [kW],P_clutch_pos [kW],P_clutch_neg [kW],P_fcmap_pos [kW],E_aux_FAN [kWh],E_aux_STP [kWh],E_aux_AC [kWh],E_aux_PS [kWh],E_aux_ES [kWh],E_aux_sum [kWh],E_air [kWh],E_roll [kWh],E_grad [kWh],E_inertia [kWh],E_brake [kWh],E_gbx_loss [kWh],E_axl_loss [kWh],E_angle_loss [kWh],E_ret_loss [kWh],E_tc_loss [kWh],E_clutch_pos [kWh],E_clutch_neg [kWh],E_fcmap_pos [kWh],a [m/s^2],a_pos [m/s^2],a_neg [m/s^2],AccelerationTimeShare [%],DecelerationTimeShare [%],CruiseTimeShare [%],StopTimeShare [%]
+11-0,VEH-EURO6_2018_Class-1,RegionalDelivery.vdri,Success,5610.0000,0.0000,1572.5858,25.8360,59.1444,0.0101,7760.2921,131.2093,7760.2921,131.2093,7760.2921,131.2093,7760.2921,131.2093,7760.2921,131.2093,15.7703,,414.6214,,31.8800,1.8704,0.0000,0.0000,48.0434,-6.5146,45.9780,0.2932,0.1224,0.0655,0.5681,0.6242,1.6734,9.8385,2.8013,-0.0001,0.0000,0.8171,0.6155,0.7556,0.0000,0.0000,0.0000,15.2607,-0.4112,16.9532,0.0000,0.4803,-0.5347,14.4402,12.9135,72.6463,7.2492
+11-1,VEH-EURO6_2018_Class-1,RegionalDelivery.vdri,Success,5610.0000,1250.0000,1573.7393,25.8360,59.1010,0.0101,8159.6550,138.0628,8159.6550,138.0628,8159.6550,138.0628,8159.6550,138.0628,8159.6550,138.0628,16.5941,13.2753,436.2786,349.0229,34.0063,2.4243,0.0000,0.0000,52.7715,-7.7462,49.9162,0.2934,0.1224,0.0656,0.5685,0.6247,1.6746,9.8209,3.3573,-0.0001,0.0000,1.0598,0.6543,0.8126,0.0000,0.0000,0.0000,16.2824,-0.5545,17.9354,0.0000,0.4618,-0.5277,15.0668,12.9053,72.0280,7.2439
+11-2,VEH-EURO6_2018_Class-1,RegionalDelivery.vdri,Success,5610.0000,1890.0000,1575.5460,25.8360,59.0333,0.0101,8363.0606,141.6669,8363.0606,141.6669,8363.0606,141.6669,8363.0606,141.6669,8363.0606,141.6669,17.0273,9.0091,447.6676,236.8611,34.9995,2.7318,0.0000,0.0000,55.5556,-8.1033,52.1613,0.2938,0.1226,0.0657,0.5691,0.6254,1.6766,9.7852,3.6379,-0.0001,0.0000,1.1956,0.6756,0.8398,0.0000,0.0000,0.0000,16.7779,-0.6198,18.4361,0.0000,0.4516,-0.5086,15.4286,13.4603,71.1111,7.2356
+11-3,VEH-EURO6_2018_Class-1,UrbanDelivery.vdri,Success,5610.0000,0.0000,3251.2440,27.8160,30.7998,-0.0158,4107.6526,133.3663,4107.6526,133.3663,4107.6526,133.3663,4107.6526,133.3663,4107.6526,133.3663,16.0296,,421.4375,,14.2044,3.6198,0.0000,0.0000,29.9721,-5.7486,25.1707,0.4661,0.2439,0.1355,1.0839,1.2904,3.2197,5.4779,3.0160,-0.0001,0.0000,3.2692,0.6307,0.7283,0.0000,0.0000,0.0000,14.1420,-0.9410,17.6488,0.0000,0.5092,-0.6133,20.8308,17.3538,61.8154,19.6540
+11-4,VEH-EURO6_2018_Class-1,UrbanDelivery.vdri,Success,5610.0000,1250.0000,3250.0188,27.8160,30.8114,-0.0158,4493.4158,145.8362,4493.4158,145.8362,4493.4158,145.8362,4493.4158,145.8362,4493.4158,145.8362,17.5284,14.0227,460.8424,368.6739,16.1041,4.6516,0.0000,0.0000,34.8237,-6.4598,28.2925,0.4659,0.2438,0.1354,1.0835,1.2899,3.2185,5.4760,3.6145,-0.0001,0.0000,4.1993,0.6967,0.8269,0.0000,0.0000,0.0000,16.0177,-1.1073,19.5251,0.0000,0.5095,-0.6089,20.7756,17.4823,61.7421,19.6614
+11-5,VEH-EURO6_2018_Class-1,UrbanDelivery.vdri,Success,5610.0000,1890.0000,3250.3560,27.8160,30.8082,-0.0158,4708.4091,152.8298,4708.4091,152.8298,4708.4091,152.8298,4708.4091,152.8298,4708.4091,152.8298,18.3690,9.7190,482.9421,255.5249,17.0938,5.2732,0.0000,0.0000,37.5168,-6.6371,29.9122,0.4660,0.2438,0.1355,1.0836,1.2900,3.2189,5.4692,3.9166,-0.0001,0.0000,4.7610,0.7414,0.8756,0.0000,0.0000,0.0000,17.0072,-1.1419,20.5475,0.0000,0.5049,-0.6107,20.9295,17.4515,61.6190,19.6594
+12-0,VEH-EURO6_2018_Class-2,LongHaul.vdri,Success,9970.0000,0.0000,4531.8489,100.1850,79.5847,-2.5494,15958.8699,200.5268,15958.8699,200.5268,15958.8699,200.5268,15958.8699,200.5268,15958.8699,200.5268,24.1018,,633.6646,,70.1411,2.2076,0.0000,0.0000,83.1091,-13.0486,85.7601,0.7781,0.4659,0.2518,1.7628,2.1585,5.4171,66.6389,18.1264,-0.0658,0.0000,2.7791,3.8047,4.6866,0.0000,0.0000,0.0000,96.7233,-0.7392,102.1300,0.0000,0.4122,-0.5472,4.8775,3.5974,91.5250,1.4784
+12-1,VEH-EURO6_2018_Class-2,LongHaul.vdri,Success,9970.0000,9866.1765,4617.7745,100.1850,78.1039,-2.5494,18744.8942,239.9996,18744.8942,239.9996,18744.8942,239.9996,18744.8942,239.9996,18744.8942,239.9996,28.8461,2.9237,758.3987,76.8686,83.9471,5.7293,0.0000,0.0000,102.9909,-14.9125,105.0478,0.7929,0.4747,0.2566,1.7962,2.1994,5.5198,65.1964,33.6664,-0.1310,0.0000,7.3490,4.5134,5.7438,0.0000,0.0000,0.0000,117.7864,-1.4485,123.1721,0.0000,0.3482,-0.4269,5.4797,4.6350,89.8852,1.4509
+12-2,VEH-EURO6_2018_Class-2,LongHaul.vdri,Success,9970.0000,12520.0000,4664.8319,100.1850,77.3160,-2.5494,19341.9362,250.1674,19341.9362,250.1674,19341.9362,250.1674,19341.9362,250.1674,19341.9362,250.1674,30.0682,2.4016,790.5290,63.1413,86.8301,6.7259,0.0000,0.0000,107.4168,-14.4189,108.9837,0.8010,0.4795,0.2592,1.8145,2.2218,5.5760,64.5334,37.6943,-0.1485,0.0000,8.7154,4.6576,6.0040,0.0000,0.0000,0.0000,123.0037,-1.5506,128.4314,0.0000,0.3168,-0.3889,6.2178,5.3816,88.4005,1.4363
+12-3,VEH-EURO6_2018_Class-2,RegionalDelivery.vdri,Success,6570.0000,0.0000,1571.8971,25.8360,59.1703,0.0101,9097.4503,153.7503,9097.4503,153.7503,9097.4503,153.7503,9097.4503,153.7503,9097.4503,153.7503,18.4796,,485.8510,,37.1424,2.2681,0.0000,0.0000,55.7502,-7.9181,52.8793,0.2931,0.1485,0.0874,0.5678,0.6240,1.7207,11.3554,3.3022,-0.0001,0.0000,0.9903,0.7085,0.8811,0.0000,0.0000,0.0000,17.7638,-0.5066,19.5588,0.0000,0.4926,-0.5399,14.1311,12.8581,73.0108,7.2524
+12-4,VEH-EURO6_2018_Class-2,RegionalDelivery.vdri,Success,6570.0000,3019.5882,1571.7061,25.8360,59.1775,0.0101,10135.4658,171.2724,10135.4658,171.2724,10135.4658,171.2724,10135.4658,171.2724,10135.4658,171.2724,20.5856,6.8174,541.2206,179.2366,42.4958,3.6265,0.0000,0.0000,68.9094,-10.4647,64.0489,0.2930,0.1485,0.0873,0.5677,0.6239,1.7205,11.3632,4.6410,-0.0002,0.0000,1.5833,0.8067,1.0229,0.0000,0.0000,0.0000,20.3109,-0.8674,22.0597,0.0000,0.4761,-0.5304,14.4494,12.8581,72.6926,7.2533
+12-5,VEH-EURO6_2018_Class-2,RegionalDelivery.vdri,Success,6570.0000,5420.0000,1574.6789,25.8360,59.0658,0.0101,10940.9998,185.2342,10940.9998,185.2342,10940.9998,185.2342,10940.9998,185.2342,10940.9998,185.2342,22.2637,4.1077,585.3401,107.9963,46.6229,4.8525,0.0000,0.0000,81.0860,-11.3910,73.8741,0.2936,0.1488,0.0875,0.5688,0.6251,1.7238,11.3150,5.6746,-0.0002,0.0000,2.1225,0.9035,1.1346,0.0000,0.0000,0.0000,22.3277,-1.1512,24.0312,0.0000,0.4383,-0.4718,16.0102,14.8030,69.1868,7.2396
+12-6,VEH-EURO6_2018_Class-2,UrbanDelivery.vdri,Success,6570.0000,0.0000,3246.7073,27.8160,30.8428,-0.0158,4841.7423,156.9812,4841.7423,156.9812,4841.7423,156.9812,4841.7423,156.9812,4841.7423,156.9812,18.8679,,496.0606,,16.6541,4.3223,0.0000,0.0000,34.9706,-6.9149,28.9294,0.4654,0.2796,0.1353,1.0824,1.2886,3.2513,6.3045,3.5552,-0.0001,0.0000,3.8981,0.7158,0.8535,0.0000,0.0000,0.0000,16.5419,-1.1321,20.3182,0.0000,0.5099,-0.6249,20.8872,17.0055,62.1072,19.6815
+12-7,VEH-EURO6_2018_Class-2,UrbanDelivery.vdri,Success,6570.0000,3019.5882,3249.7796,27.8160,30.8137,-0.0158,5761.4580,186.9774,5761.4580,186.9774,5761.4580,186.9774,5761.4580,186.9774,5761.4580,186.9774,22.4732,7.4425,590.8486,195.6719,21.1791,6.7864,0.0000,0.0000,46.4652,-8.6445,36.7327,0.4659,0.2799,0.1354,1.0834,1.2898,3.2544,6.2980,4.9966,-0.0001,0.0000,6.1262,0.8689,1.0897,0.0000,0.0000,0.0000,21.0293,-1.5328,24.8359,0.0000,0.5053,-0.6106,20.9911,17.3900,61.6190,19.6629
+12-8,VEH-EURO6_2018_Class-2,UrbanDelivery.vdri,Success,6570.0000,5420.0000,3250.3414,27.8160,30.8083,-0.0158,6535.4031,212.1310,6535.4031,212.1310,6535.4031,212.1310,6535.4031,212.1310,6535.4031,212.1310,25.4965,4.7042,670.3340,123.6779,24.8768,9.0214,0.0000,0.0000,56.7301,-9.1131,43.0871,0.4660,0.2799,0.1355,1.0836,1.2900,3.2550,6.2816,6.1093,-0.0001,0.0000,8.1452,1.0185,1.2760,0.0000,0.0000,0.0000,24.6985,-1.7377,28.5326,0.0000,0.5014,-0.6081,21.0526,17.5439,61.4035,19.6595
+13-0,VEH-EURO6_2018_Class-3,RegionalDelivery.vdri,Success,6980.0000,0.0000,1573.7841,25.8360,59.0993,0.0101,8787.1181,148.6839,8787.1181,148.6839,8787.1181,148.6839,8787.1181,148.6839,8787.1181,148.6839,17.8707,,469.8410,,35.7304,2.4165,0.0000,0.0000,54.6788,-9.1943,51.8264,0.2934,0.1618,0.0875,0.5685,0.6247,1.7359,10.5603,3.2952,-0.0001,0.0000,1.0564,0.6856,0.8563,0.0000,0.0000,0.0000,17.1091,-0.6365,18.8460,0.0000,0.4941,-0.5315,14.0496,13.0324,72.9180,7.2437
+13-1,VEH-EURO6_2018_Class-3,RegionalDelivery.vdri,Success,6980.0000,4205.8824,1571.0877,25.8360,59.2008,0.0101,10246.9470,173.0881,10246.9470,173.0881,10246.9470,173.0881,10246.9470,173.0881,10246.9470,173.0881,20.8039,4.9464,546.9583,130.0460,43.2822,4.5073,0.0000,0.0000,75.3527,-11.4073,69.1559,0.2929,0.1615,0.0873,0.5675,0.6236,1.7329,10.5869,5.0374,-0.0002,0.0000,1.9670,0.8293,1.0563,0.0000,0.0000,0.0000,20.6725,-1.1707,22.3237,0.0000,0.4681,-0.5005,14.8408,13.8217,71.3376,7.2561
+13-2,VEH-EURO6_2018_Class-3,RegionalDelivery.vdri,Success,6980.0000,8020.0000,1575.4118,25.8360,59.0383,0.0101,11601.2813,196.5044,11601.2813,196.5044,11601.2813,196.5044,11601.2813,196.5044,11601.2813,196.5044,23.6183,2.9449,620.9539,77.4257,50.0776,7.1090,0.0000,0.0000,95.0295,-12.7639,84.8771,0.2937,0.1620,0.0876,0.5691,0.6254,1.7377,10.5254,6.5598,-0.0003,0.0000,3.1110,0.9801,1.2358,0.0000,0.0000,0.0000,23.9980,-1.5599,25.6193,0.0000,0.4117,-0.4637,17.9161,15.6290,66.4549,7.2362
+13-3,VEH-EURO6_2018_Class-3,UrbanDelivery.vdri,Success,6980.0000,0.0000,3245.8474,27.8160,30.8510,-0.0158,4879.4997,158.1635,4879.4997,158.1635,4879.4997,158.1635,4879.4997,158.1635,4879.4997,158.1635,19.0100,,499.7966,,16.6975,4.6762,0.0000,0.0000,35.4669,-7.5806,29.2015,0.4653,0.3156,0.1353,1.0821,1.2882,3.2865,5.8722,3.5476,-0.0001,0.0000,4.2162,0.7048,0.8621,0.0000,0.0000,0.0000,16.5594,-1.2799,20.2969,0.0000,0.5108,-0.6156,20.8320,17.3498,61.8182,19.6867
+13-4,VEH-EURO6_2018_Class-3,UrbanDelivery.vdri,Success,6980.0000,4205.8824,3249.0575,27.8160,30.8205,-0.0158,6186.9789,200.7423,6186.9789,200.7423,6186.9789,200.7423,6186.9789,200.7423,6186.9789,200.7423,24.1277,5.7367,634.3456,150.8234,23.0424,8.3501,0.0000,0.0000,52.6056,-9.3323,40.2053,0.4658,0.3159,0.1354,1.0832,1.2895,3.2898,5.8621,5.4234,-0.0001,0.0000,7.5361,0.9382,1.1902,0.0000,0.0000,0.0000,22.8502,-1.7866,26.6484,0.0000,0.5049,-0.6005,20.9975,17.7648,61.2377,19.6672
+13-5,VEH-EURO6_2018_Class-3,UrbanDelivery.vdri,Success,6980.0000,8020.0000,3253.6374,27.8160,30.7771,-0.0158,7371.8979,239.5252,7371.8979,239.5252,7371.8979,239.5252,7371.8979,239.5252,7371.8979,239.5252,28.7891,3.5897,756.8998,94.3765,28.7026,11.9696,0.0000,0.0000,68.2548,-9.9312,49.9318,0.4664,0.3164,0.1356,1.0847,1.2913,3.2944,5.8385,7.0624,-0.0002,0.0000,10.8180,1.1915,1.4734,0.0000,0.0000,0.0000,28.5349,-2.0181,32.3799,0.0000,0.4897,-0.6023,21.8875,17.9219,60.1906,19.6396
+14-0,VEH-EURO6_2018_Class-4,LongHaul.vdri,Success,15700.0000,0.0000,4526.4065,100.1850,79.6804,-2.5494,17856.1709,224.0973,17856.1709,224.0973,17856.1709,224.0973,17856.1709,224.0973,17856.1709,224.0973,26.9348,,708.1476,,82.0650,4.0341,0.0000,0.0000,98.1732,-19.3730,100.6988,0.7772,0.7671,0.4402,1.7607,2.1559,5.9011,70.0871,26.2413,-0.1037,0.0000,5.0722,2.5077,4.3719,0.0000,1.9087,0.0000,111.6898,-1.6091,117.5401,0.0000,0.4400,-0.5129,4.4410,3.8003,91.7587,1.4802
+14-1,VEH-EURO6_2018_Class-4,LongHaul.vdri,Success,15700.0000,14000.0000,4563.3555,100.1850,79.0353,-2.5494,22136.9330,280.0893,22136.9330,280.0893,22136.9330,280.0893,22136.9330,280.0893,22136.9330,280.0893,33.6646,2.4046,885.0823,63.2202,103.7787,9.6786,0.0000,0.0000,130.8970,-20.7434,132.2216,0.7835,0.7734,0.4438,1.7750,2.1735,5.9492,69.4723,46.5753,-0.1961,0.0000,12.2686,3.4868,5.6131,0.0000,1.9046,0.0000,142.0197,-2.9379,147.7124,0.0000,0.3763,-0.4017,4.9091,4.8652,90.2257,1.4682
+14-2,VEH-EURO6_2018_Class-4,LongHaul.vdri,Success,15700.0000,20300.0000,4600.6186,100.1850,78.3951,-2.5494,24006.0253,306.2184,24006.0253,306.2184,24006.0253,306.2184,24006.0253,306.2184,24006.0253,306.2184,36.8051,1.8131,967.6502,47.6675,113.0429,12.7129,0.0000,0.0000,144.4423,-22.7330,145.6253,0.7899,0.7797,0.4474,1.7895,2.1912,5.9978,68.9794,55.3793,-0.2377,0.0000,16.2464,4.0738,6.1768,0.0000,1.9014,0.0000,155.9884,-3.5378,161.7043,0.0000,0.3254,-0.4131,6.1087,4.8261,89.0652,1.4563
+14-3,VEH-EURO6_2018_Class-4,RegionalDelivery.vdri,Success,10300.0000,0.0000,1567.6750,25.8360,59.3296,0.0101,10675.5832,179.9368,10675.5832,179.9368,10675.5832,179.9368,10675.5832,179.9368,10675.5832,179.9368,21.6270,,568.6001,,44.6889,3.7998,0.0000,0.0000,71.1963,-13.7432,66.5831,0.2923,0.2483,0.0871,0.5663,0.6223,1.8163,12.0934,4.4134,-0.0002,0.0000,1.6547,0.6362,0.8609,0.0000,0.4730,0.0000,21.2326,-1.0986,23.1251,0.0000,0.4814,-0.5375,14.1672,12.6356,73.1972,7.2719
+14-4,VEH-EURO6_2018_Class-4,RegionalDelivery.vdri,Success,10300.0000,4400.0000,1567.5120,25.8360,59.3358,0.0101,12123.4042,204.3185,12123.4042,204.3185,12123.4042,204.3185,12123.4042,204.3185,12123.4042,204.3185,24.5575,5.5813,645.6464,146.7378,52.8638,6.2973,0.0000,0.0000,92.6868,-16.7253,85.1603,0.2923,0.2483,0.0871,0.5662,0.6222,1.8161,12.1225,6.0786,-0.0003,0.0000,2.7420,0.7950,1.0390,0.0000,0.4732,0.0000,25.0212,-1.7714,26.8206,0.0000,0.4533,-0.5179,15.4435,13.3376,71.2189,7.2727
+14-5,VEH-EURO6_2018_Class-4,RegionalDelivery.vdri,Success,10300.0000,7700.0000,1569.6534,25.8360,59.2549,0.0101,13262.1441,223.8153,13262.1441,223.8153,13262.1441,223.8153,13262.1441,223.8153,13262.1441,223.8153,26.9009,3.4936,707.2563,91.8515,58.9056,8.2712,0.0000,0.0000,111.0615,-18.5565,99.3908,0.2927,0.2486,0.0872,0.5670,0.6231,1.8186,12.1315,7.2940,-0.0003,0.0000,3.6064,0.9291,1.1722,0.0000,0.4733,0.0000,27.8737,-2.2763,29.6531,0.0000,0.4452,-0.4972,15.8062,14.0217,70.1721,7.2627
+14-6,VEH-EURO6_2018_Class-4,MunicipalUtility.vdri,Success,10300.0000,0.0000,4514.1886,9.9620,7.9446,-0.0720,3449.9222,434.2501,3449.9222,434.2501,3449.9222,434.2501,3449.9222,434.2501,3449.9222,434.2501,52.1935,,1372.2305,,6.4366,2.2422,0.0000,0.0000,41.6094,-10.7361,13.5672,0.7098,0.6396,0.3762,1.5049,1.7915,5.0221,2.7030,1.7020,-0.0020,0.0000,2.8116,0.5135,0.3702,0.0000,0.1679,0.0000,9.1013,-0.7275,15.2073,0.0000,0.5182,-0.5871,12.2313,10.8354,76.9333,70.7104
+14-7,VEH-EURO6_2018_Class-4,MunicipalUtility.vdri,Success,10300.0000,4400.0000,4513.9792,9.9620,7.9449,-0.0720,3807.7142,479.2641,3807.7142,479.2641,3807.7142,479.2641,3807.7142,479.2641,3807.7142,479.2641,57.6039,13.0918,1514.4744,344.1987,8.2892,3.4409,0.0000,0.0000,53.9192,-13.3604,15.8472,0.7098,0.6396,0.3762,1.5048,1.7915,5.0218,2.7018,2.3442,-0.0029,0.0000,4.3145,0.6257,0.4738,0.0000,0.1678,0.0000,11.6570,-0.8745,17.7823,0.0000,0.5113,-0.5926,12.3643,10.6581,76.9776,70.7137
+14-8,VEH-EURO6_2018_Class-4,MunicipalUtility.vdri,Success,10300.0000,7700.0000,4514.5078,9.9620,7.9440,-0.0720,4066.8538,511.9410,4066.8538,511.9410,4066.8538,511.9410,4066.8538,511.9410,4066.8538,511.9410,61.5314,7.9911,1617.7336,210.0953,9.6140,4.3125,0.0000,0.0000,63.4267,-14.3824,17.5110,0.7099,0.6396,0.3763,1.5050,1.7917,5.0224,2.6921,2.8129,-0.0035,0.0000,5.4080,0.7137,0.5473,0.0000,0.1678,0.0000,13.4985,-0.9697,19.6401,0.0000,0.5113,-0.5882,12.3615,10.7444,76.8941,70.7054
+15-0,VEH-EURO6_2018_Class-9,LongHaul.vdri,Success,16900.0000,0.0000,4528.8735,100.1850,79.6370,-2.5494,18406.9631,231.1358,18406.9631,231.1358,18406.9631,231.1358,18406.9631,231.1358,18406.9631,231.1358,27.7807,,730.3890,,84.8149,4.4719,0.0000,0.0000,101.8746,-20.0768,104.6136,0.7776,0.9060,0.4404,1.7616,2.1571,6.0427,70.9097,28.2353,-0.1116,0.0000,5.6257,2.6302,4.5242,0.0000,1.9084,0.0000,115.4582,-1.7445,121.4329,0.0000,0.4345,-0.5028,4.5053,3.8869,91.6078,1.4794
+15-1,VEH-EURO6_2018_Class-9,LongHaul.vdri,Success,16900.0000,19300.0000,4601.8133,100.1850,78.3748,-2.5494,24248.5065,309.3918,24248.5065,309.3918,24248.5065,309.3918,24248.5065,309.3918,24248.5065,309.3918,37.1865,1.9268,977.6781,50.6569,114.1766,12.7215,0.0000,0.0000,145.7221,-22.7797,147.0284,0.7901,0.9206,0.4475,1.7900,2.1918,6.1400,69.7994,56.0444,-0.2390,0.0000,16.2617,4.1113,6.2383,0.0000,1.9012,0.0000,157.5780,-3.5294,163.4150,0.0000,0.3251,-0.4100,6.0639,4.8685,89.0676,1.4559
+15-2,VEH-EURO6_2018_Class-9,LongHaul.vdri,Success,16900.0000,23100.0000,4622.3449,100.1850,78.0266,-2.5494,25361.6151,325.0379,25361.6151,325.0379,25361.6151,325.0379,25361.6151,325.0379,25361.6151,325.0379,39.0671,1.6912,1027.1199,44.4641,119.5766,14.5357,0.0000,0.0000,153.8928,-23.0048,154.6879,0.7937,0.9247,0.4495,1.7980,2.2016,6.1674,69.4520,61.3125,-0.2641,0.0000,18.6636,4.4215,6.5654,0.0000,1.8989,0.0000,165.7446,-3.7786,171.5887,0.0000,0.3267,-0.3939,5.9282,5.2575,88.8144,1.4495
+15-3,VEH-EURO6_2018_Class-9,RegionalDelivery.vdri,Success,11500.0000,0.0000,1567.5031,25.8360,59.3361,0.0101,11142.0970,187.7792,11142.0970,187.7792,11142.0970,187.7792,11142.0970,187.7792,11142.0970,187.7792,22.5696,,593.3824,,47.3406,4.4555,0.0000,0.0000,77.4198,-14.5494,72.0068,0.2923,0.2570,0.0871,0.5662,0.6222,1.8248,12.2842,4.8823,-0.0002,0.0000,1.9400,0.6802,0.9169,0.0000,0.4731,0.0000,22.4537,-1.2743,24.3247,0.0000,0.4688,-0.5301,14.6777,12.8909,72.4314,7.2727
+15-4,VEH-EURO6_2018_Class-9,RegionalDelivery.vdri,Success,11500.0000,7100.0000,1569.6937,25.8360,59.2533,0.0101,13565.3520,228.9382,13565.3520,228.9382,13565.3520,228.9382,13565.3520,228.9382,13565.3520,228.9382,27.5166,3.8756,723.4446,101.8936,60.4413,8.6938,0.0000,0.0000,115.1053,-18.6364,102.4430,0.2927,0.2573,0.0872,0.5670,0.6231,1.8273,12.3185,7.5260,-0.0003,0.0000,3.7907,0.9549,1.2027,0.0000,0.4733,0.0000,28.5913,-2.3343,30.3710,0.0000,0.4448,-0.4849,15.8062,14.4678,69.7259,7.2626
+15-5,VEH-EURO6_2018_Class-9,RegionalDelivery.vdri,Success,11500.0000,14500.0000,1575.3010,25.8360,59.0424,0.0101,16042.6183,271.7134,16042.6183,271.7134,16042.6183,271.7134,16042.6183,271.7134,16042.6183,271.7134,32.6579,2.2523,858.6143,59.2148,73.0769,13.8516,0.0000,0.0000,152.7275,-20.1499,132.0761,0.2937,0.2583,0.0875,0.5690,0.6253,1.8339,12.2890,10.1736,-0.0005,0.0000,6.0612,1.2064,1.4653,0.0000,0.4731,0.0000,34.6272,-2.9835,36.3318,0.0000,0.3916,-0.4407,18.6785,16.5184,64.8030,7.2367
+15-6,VEH-EURO6_2018_Class-9,MunicipalUtility.vdri,Success,11500.0000,0.0000,4514.7473,9.9620,7.9436,-0.0720,3553.7243,447.3713,3553.7243,447.3713,3553.7243,447.3713,3553.7243,447.3713,3553.7243,447.3713,53.7706,,1413.6934,,6.9918,2.5949,0.0000,0.0000,45.1910,-11.2093,14.2573,0.7099,0.6397,0.3763,1.5051,1.7918,5.0227,2.7428,1.8829,-0.0022,0.0000,3.2542,0.5423,0.4006,0.0000,0.1678,0.0000,9.8670,-0.7592,15.9768,0.0000,0.5153,-0.5920,12.2951,10.7222,76.9827,70.7016
+15-7,VEH-EURO6_2018_Class-9,MunicipalUtility.vdri,Success,11500.0000,7100.0000,4515.4522,9.9620,7.9423,-0.0720,4127.8039,519.7222,4127.8039,519.7222,4127.8039,519.7222,4127.8039,519.7222,4127.8039,519.7222,62.4666,8.7981,1642.3222,231.3130,9.9165,4.5101,0.0000,0.0000,65.3660,-14.4191,17.9072,0.7100,0.6398,0.3763,1.5053,1.7920,5.0235,2.7246,2.9024,-0.0036,0.0000,5.6570,0.7349,0.5637,0.0000,0.1677,0.0000,13.9149,-0.9783,20.0684,0.0000,0.5043,-0.5858,12.5388,10.7887,76.6726,70.6906
+15-8,VEH-EURO6_2018_Class-9,MunicipalUtility.vdri,Success,11500.0000,14500.0000,4521.5105,9.9620,7.9317,-0.0720,4703.3533,592.9828,4703.3533,592.9828,4703.3533,592.9828,4703.3533,592.9828,4703.3533,592.9828,71.2720,4.9153,1873.8257,129.2294,12.6356,6.5220,0.0000,0.0000,84.7466,-15.7941,21.1307,0.7110,0.6406,0.3768,1.5073,1.7944,5.0302,2.6809,3.9235,-0.0051,0.0000,8.1915,0.9465,0.7037,0.0000,0.1674,0.0000,17.7362,-0.9209,23.9677,0.0000,0.5045,-0.5807,12.3866,10.7941,76.8193,70.5959
+16-0,VEH-EURO6_2018_Class-11,LongHaul.vdri,Success,15500.0000,0.0000,4520.6266,100.1850,79.7823,-2.5494,22541.7937,282.5413,22541.7937,282.5413,22541.7937,282.5413,22541.7937,282.5413,22541.7937,282.5413,33.9593,,892.8304,,100.1021,3.4147,0.0000,0.0000,122.1057,-26.2287,124.5757,0.7762,0.9043,0.4396,1.7584,2.1532,6.0317,89.1301,30.4324,-0.1023,0.0000,4.2880,3.0657,12.5932,0.0000,0.0000,0.0000,141.1211,-1.7147,147.1904,0.0000,0.4521,-0.5879,4.3805,3.3407,92.2788,1.4821
+16-1,VEH-EURO6_2018_Class-11,LongHaul.vdri,Success,15500.0000,19300.0000,4569.1948,100.1850,78.9343,-2.5494,29292.7064,371.1026,29292.7064,371.1026,29292.7064,371.1026,29292.7064,371.1026,29292.7064,371.1026,44.6037,2.3111,1172.6841,60.7608,132.6512,10.5844,0.0000,0.0000,171.1503,-29.3970,171.2321,0.7846,0.9140,0.4443,1.7773,2.1763,6.0965,88.0295,63.0172,-0.2298,0.0000,13.4339,4.5808,16.9909,0.0000,0.0000,0.0000,189.3826,-3.6184,195.3383,0.0000,0.3811,-0.4249,4.7275,4.5086,90.7638,1.4663
+16-10,VEH-EURO6_2018_Class-11,Construction.vdri,Success,10100.0000,7100.0000,2421.5931,21.2190,31.5447,-0.1940,10839.6306,343.6278,10839.6306,343.6278,10839.6306,343.6278,10839.6306,343.6278,10839.6306,343.6278,41.3014,5.8171,1085.8637,152.9386,41.8334,15.0035,0.0000,0.0000,121.1268,-18.8693,76.5342,0.6977,0.5181,0.1346,0.8746,0.9611,3.1861,7.7555,7.2455,-0.0027,0.0000,10.0924,1.2587,3.0349,0.0000,0.0000,0.0000,32.1164,-2.6658,36.3790,0.0000,0.5058,-0.6831,26.1462,19.3722,54.4816,26.8418
+16-2,VEH-EURO6_2018_Class-11,LongHaul.vdri,Success,15500.0000,24500.0000,4594.5625,100.1850,78.4984,-2.5494,31016.7379,395.1255,31016.7379,395.1255,31016.7379,395.1255,31016.7379,395.1255,31016.7379,395.1255,47.4910,1.9384,1248.5966,50.9631,140.7972,12.7672,0.0000,0.0000,184.1602,-29.9286,184.2754,0.7889,0.9191,0.4468,1.7872,2.1884,6.1303,87.5248,71.4318,-0.2641,0.0000,16.2944,5.0043,18.1608,0.0000,0.0000,0.0000,202.2200,-4.1447,208.1434,0.0000,0.3595,-0.4045,5.0501,4.8977,90.0522,1.4582
+16-3,VEH-EURO6_2018_Class-11,RegionalDelivery.vdri,Success,10100.0000,0.0000,1568.1892,25.8360,59.3102,0.0101,13612.3100,229.5105,13612.3100,229.5105,13612.3100,229.5105,13612.3100,229.5105,13612.3100,229.5105,27.5854,,725.2531,,55.3383,3.3752,0.0000,0.0000,85.9249,-14.6104,80.0939,0.2924,0.2571,0.0871,0.5665,0.6225,1.8256,16.0840,5.4647,-0.0002,0.0000,1.4703,0.7525,2.4741,0.0000,0.0000,0.0000,27.2007,-0.9427,29.1945,0.0000,0.4866,-0.5541,14.1034,12.3165,73.5801,7.2695
+16-4,VEH-EURO6_2018_Class-11,RegionalDelivery.vdri,Success,10100.0000,7100.0000,1569.1117,25.8360,59.2753,0.0101,16289.0539,274.8033,16289.0539,274.8033,16289.0539,274.8033,16289.0539,274.8033,16289.0539,274.8033,33.0292,4.6520,868.3784,122.3068,69.0413,6.6380,0.0000,0.0000,120.4621,-20.5228,109.5368,0.2926,0.2572,0.0872,0.5668,0.6229,1.8267,16.0935,8.8238,-0.0003,0.0000,2.8933,1.0266,3.1649,0.0000,0.0000,0.0000,33.9975,-1.9891,35.9109,0.0000,0.4694,-0.5313,14.6684,12.8189,72.5128,7.2653
+16-5,VEH-EURO6_2018_Class-11,RegionalDelivery.vdri,Success,10100.0000,15900.0000,1574.8951,25.8360,59.0576,0.0101,19849.0249,336.0958,19849.0249,336.0958,19849.0249,336.0958,19849.0249,336.0958,19849.0249,336.0958,40.3961,2.5406,1062.0626,66.7964,86.2333,12.1560,0.0000,0.0000,167.7373,-25.9207,147.2998,0.2936,0.2582,0.0875,0.5689,0.6252,1.8334,16.0742,12.7983,-0.0005,0.0000,5.3179,1.3928,4.0231,0.0000,0.0000,0.0000,42.6888,-3.1090,44.5671,0.0000,0.4087,-0.4943,16.8996,13.7865,69.3139,7.2386
+16-6,VEH-EURO6_2018_Class-11,MunicipalUtility.vdri,Success,10100.0000,0.0000,4511.0431,9.9620,7.9501,-0.0720,3882.9207,488.4121,3882.9207,488.4121,3882.9207,488.4121,3882.9207,488.4121,3882.9207,488.4121,58.7034,,1543.3824,,7.4845,2.2058,0.0000,0.0000,48.9029,-11.7365,15.2566,0.7093,0.6391,0.3760,1.5038,1.7903,5.0186,3.6378,2.1075,-0.0020,0.0000,2.7640,0.5413,0.9998,0.0000,0.0000,0.0000,10.9139,-0.7655,17.1320,0.0000,0.5147,-0.6075,12.3725,10.4878,77.1397,70.7597
+16-7,VEH-EURO6_2018_Class-11,MunicipalUtility.vdri,Success,10100.0000,7100.0000,4513.9615,9.9620,7.9450,-0.0720,4488.1172,564.9019,4488.1172,564.9019,4488.1172,564.9019,4488.1172,564.9019,4488.1172,564.9019,67.8969,9.5629,1785.0898,251.4211,10.4133,4.0067,0.0000,0.0000,70.8557,-15.1046,19.1766,0.7098,0.6395,0.3762,1.5048,1.7915,5.0218,3.5848,3.4029,-0.0034,0.0000,5.0239,0.7361,1.3783,0.0000,0.0000,0.0000,15.2067,-0.8969,21.4748,0.0000,0.5209,-0.5922,12.1649,10.7246,77.1106,70.7139
+16-8,VEH-EURO6_2018_Class-11,MunicipalUtility.vdri,Success,10100.0000,15900.0000,4517.8294,9.9620,7.9381,-0.0720,5334.3441,671.9885,5334.3441,671.9885,5334.3441,671.9885,5334.3441,671.9885,5334.3441,671.9885,80.7678,5.0797,2123.4835,133.5524,14.1906,6.5655,0.0000,0.0000,97.9423,-18.7719,24.0308,0.7104,0.6401,0.3765,1.5061,1.7930,5.0261,3.5632,4.9357,-0.0051,0.0000,8.2394,1.0217,1.8505,0.0000,0.0000,0.0000,20.7645,-0.9297,27.1432,0.0000,0.5118,-0.5939,12.2426,10.6265,77.1308,70.6534
+16-9,VEH-EURO6_2018_Class-11,Construction.vdri,Success,10100.0000,0.0000,2418.4813,21.2190,31.5853,-0.1940,8356.6344,264.5737,8356.6344,264.5737,8356.6344,264.5737,8356.6344,264.5737,8356.6344,264.5737,31.7997,,836.0530,,29.3843,7.7957,0.0000,0.0000,78.7678,-15.6471,54.1353,0.6968,0.5174,0.1344,0.8735,0.9599,3.1820,7.8100,4.4873,-0.0016,0.0000,5.2371,0.8067,2.1347,0.0000,0.0000,0.0000,22.4526,-1.9321,26.7196,0.0000,0.5142,-0.7318,25.5275,17.9975,56.4750,26.8764
+17-0,VEH-EURO6_2018_Class-16,Construction.vdri,Success,11300.0000,0.0000,2419.5106,21.2190,31.5718,-0.1940,8784.5825,278.2411,8784.5825,278.2411,8784.5825,278.2411,8784.5825,278.2411,8784.5825,278.2411,33.4424,,879.2418,,32.2524,8.8219,0.0000,0.0000,88.2706,-15.4416,59.0857,0.6971,0.5176,0.1344,0.8739,0.9603,3.1834,8.5516,4.9460,-0.0018,0.0000,5.9291,0.9029,2.3298,0.0000,0.0000,0.0000,24.6765,-1.9619,28.9110,0.0000,0.5116,-0.7043,25.6718,18.7681,55.5601,26.8649
+17-1,VEH-EURO6_2018_Class-16,Construction.vdri,Success,11300.0000,12900.0000,2439.1198,21.2190,31.3180,-0.1940,13498.8165,431.0240,13498.8165,431.0240,13498.8165,431.0240,13498.8165,431.0240,13498.8165,431.0240,51.8058,4.0160,1362.0357,105.5842,54.4883,23.0892,0.0000,0.0000,161.6900,-19.2397,97.7643,0.7027,0.5218,0.1355,0.8810,0.9681,3.2092,8.2779,9.8156,-0.0038,0.0000,15.6437,1.7675,3.9142,0.0000,0.0000,0.0000,42.2297,-2.7840,46.5136,0.0000,0.4872,-0.6564,26.5792,19.9344,53.4865,26.6490
+18-0,VEH-EURO6_2018_Class-5,LongHaul.vdri,Success,15729.2000,0.0000,4526.4467,100.1850,79.6797,-2.5494,15972.2587,200.4558,15972.2587,200.4558,15972.2587,200.4558,15972.2587,200.4558,15972.2587,200.4558,24.0932,,633.4402,,71.9898,4.2689,0.0000,0.0000,87.1570,-20.4925,90.3001,0.7772,0.9055,0.4402,1.7607,2.1559,6.0395,56.3411,26.6692,-0.1039,0.0000,5.3675,2.2531,3.8577,0.0000,1.9087,0.0000,98.2129,-1.9246,104.1350,0.0000,0.4410,-0.5080,4.4410,3.7782,91.7808,1.4802
+18-1,VEH-EURO6_2018_Class-5,LongHaul.vdri,Success,15729.2000,19300.0000,4587.5690,100.1850,78.6181,-2.5494,22004.2631,279.8880,22004.2631,279.8880,22004.2631,279.8880,22004.2631,279.8880,22004.2631,279.8880,33.6404,1.7430,884.4460,45.8262,102.8403,12.8757,0.0000,0.0000,132.8858,-22.9779,134.3446,0.7877,0.9177,0.4461,1.7844,2.1850,6.1210,55.6008,54.8228,-0.2313,0.0000,16.4078,3.6513,5.6317,0.0000,1.9028,0.0000,141.5733,-3.8480,147.3131,0.0000,0.3417,-0.4236,5.6464,4.6000,89.7537,1.4605
+18-2,VEH-EURO6_2018_Class-5,LongHaul.vdri,Success,15729.2000,24270.8000,4611.4864,100.1850,78.2104,-2.5494,23529.3875,300.8475,23529.3875,300.8475,23529.3875,300.8475,23529.3875,300.8475,23529.3875,300.8475,36.1596,1.4898,950.6780,39.1696,110.3035,15.3298,0.0000,0.0000,144.3238,-22.9014,145.0550,0.7918,0.9225,0.4484,1.7937,2.1964,6.1529,55.3330,61.7772,-0.2641,0.0000,19.6369,4.1153,6.0724,0.0000,1.9006,0.0000,152.6437,-4.1541,158.3858,0.0000,0.3323,-0.3904,5.7471,5.3134,88.9395,1.4529
+18-3,VEH-EURO6_2018_Class-5,RegionalDelivery.vdri,Success,15729.2000,0.0000,1569.0846,25.8360,59.2763,0.0101,12672.9187,213.7939,12672.9187,213.7939,12672.9187,213.7939,12672.9187,213.7939,12672.9187,213.7939,25.6964,,675.5886,,55.6821,6.9892,0.0000,0.0000,99.4777,-17.7001,90.8622,0.2926,0.2921,0.0872,0.5668,0.6229,1.8615,12.0815,6.8440,-0.0003,0.0000,3.0463,0.8514,1.0997,0.0000,0.4732,0.0000,26.3603,-1.9687,28.1971,0.0000,0.4434,-0.5089,15.8163,13.6480,70.5357,7.2654
+18-4,VEH-EURO6_2018_Class-5,RegionalDelivery.vdri,Success,15729.2000,12900.0000,1578.8509,25.8360,58.9097,0.0101,17110.6904,290.4563,17110.6904,290.4563,17110.6904,290.4563,17110.6904,290.4563,17110.6904,290.4563,34.9106,2.7062,917.8420,71.1505,78.2213,15.8472,0.0000,0.0000,165.8755,-20.7728,143.4562,0.2944,0.2939,0.0877,0.5703,0.6267,1.8731,12.0232,11.7328,-0.0005,0.0000,6.9501,1.3239,1.5679,0.0000,0.4727,0.0000,37.1487,-3.1139,38.8816,0.0000,0.3795,-0.4216,19.6451,17.6172,62.7376,7.2204
+18-5,VEH-EURO6_2018_Class-5,RegionalDelivery.vdri,Success,15729.2000,24270.8000,1601.8918,25.8360,58.0623,0.0101,20640.3452,355.4859,20640.3452,355.4859,20640.3452,355.4859,20640.3452,355.4859,20640.3452,355.4859,42.7267,1.7604,1123.3354,46.2834,95.4987,24.2045,0.0000,0.0000,208.8235,-22.1319,179.5607,0.2987,0.2982,0.0890,0.5786,0.6359,1.9004,11.7771,15.8535,-0.0007,0.0000,10.7703,1.7703,1.9281,0.0000,0.4707,0.0000,46.0516,-3.5494,47.7901,0.0000,0.3119,-0.3857,24.7970,19.8626,55.3404,7.1166
+19-0,VEH-EURO6_2018_Class-10,LongHaul.vdri,Success,16510.0000,0.0000,4526.2669,100.1850,79.6829,-2.5494,16414.5686,205.9987,16414.5686,205.9987,16414.5686,205.9987,16414.5686,205.9987,16414.5686,205.9987,24.7595,,650.9558,,73.7187,4.5404,0.0000,0.0000,89.3702,-21.7060,92.2001,0.7772,0.7168,0.4402,1.7606,2.1558,5.8506,57.2203,27.4533,-0.1090,0.0000,5.7087,2.2929,3.9547,0.0000,1.9088,0.0000,100.5066,-2.0827,106.2507,0.0000,0.4442,-0.5181,4.4189,3.6677,91.9134,1.4802
+19-1,VEH-EURO6_2018_Class-10,LongHaul.vdri,Success,16510.0000,19300.0000,4571.0571,100.1850,78.9021,-2.5494,22437.9711,284.3774,22437.9711,284.3774,22437.9711,284.3774,22437.9711,284.3774,22437.9711,284.3774,34.1800,1.7710,898.6325,46.5613,104.8338,13.2886,0.0000,0.0000,135.6547,-24.2152,136.9100,0.7849,0.7239,0.4445,1.7780,2.1772,5.9085,56.6561,55.1095,-0.2364,0.0000,16.8730,3.6572,5.7274,0.0000,1.9044,0.0000,143.7237,-4.0921,149.2691,0.0000,0.3686,-0.4273,5.0317,4.5285,90.4397,1.4657
+19-2,VEH-EURO6_2018_Class-10,LongHaul.vdri,Success,16510.0000,23490.0000,4596.7819,100.1850,78.4605,-2.5494,23663.8896,301.6024,23663.8896,301.6024,23663.8896,301.6024,23663.8896,301.6024,23663.8896,301.6024,36.2503,1.5432,953.0637,40.5732,110.9126,15.3324,0.0000,0.0000,145.0766,-24.1575,145.6253,0.7893,0.7280,0.4470,1.7880,2.1894,5.9417,56.3835,60.8803,-0.2641,0.0000,19.5777,3.9887,6.0950,0.0000,1.9022,0.0000,152.8650,-4.3785,158.4080,0.0000,0.3309,-0.4032,5.9399,5.0044,89.0557,1.4575
+19-3,VEH-EURO6_2018_Class-10,RegionalDelivery.vdri,Success,16510.0000,0.0000,1568.6327,25.8360,59.2934,0.0101,13086.4143,220.7060,13086.4143,220.7060,13086.4143,220.7060,13086.4143,220.7060,13086.4143,220.7060,26.5272,,697.4310,,57.5045,7.4302,0.0000,0.0000,103.4912,-19.0072,94.1687,0.2925,0.2484,0.0872,0.5666,0.6227,1.8174,12.2726,7.0520,-0.0003,0.0000,3.2376,0.8754,1.1400,0.0000,0.4733,0.0000,27.1971,-2.1518,28.9985,0.0000,0.4418,-0.5073,15.9439,13.7117,70.3444,7.2675
+19-4,VEH-EURO6_2018_Class-10,RegionalDelivery.vdri,Success,16510.0000,12900.0000,1575.9892,25.8360,59.0166,0.0101,17536.4296,297.1438,17536.4296,297.1438,17536.4296,297.1438,17536.4296,297.1438,17536.4296,297.1438,35.7144,2.7686,938.9744,72.7887,80.3150,16.4976,0.0000,0.0000,170.9308,-21.9701,147.3091,0.2938,0.2496,0.0876,0.5693,0.6256,1.8259,12.2487,11.8573,-0.0005,0.0000,7.2222,1.3319,1.6125,0.0000,0.4731,0.0000,38.0453,-3.3356,39.7320,0.0000,0.3875,-0.4299,18.8571,17.0159,64.1270,7.2336
+19-5,VEH-EURO6_2018_Class-10,RegionalDelivery.vdri,Success,16510.0000,23490.0000,1593.2693,25.8360,58.3766,0.0101,20968.3383,359.1910,20968.3383,359.1910,20968.3383,359.1910,20968.3383,359.1910,20968.3383,359.1910,43.1720,1.8379,1135.0435,48.3203,97.0866,24.6035,0.0000,0.0000,216.0098,-23.4445,184.4997,0.2971,0.2523,0.0885,0.5755,0.6324,1.8459,12.0649,15.6385,-0.0007,0.0000,10.8889,1.7684,1.9587,0.0000,0.4716,0.0000,46.5371,-3.8154,48.2261,0.0000,0.3272,-0.3904,23.6181,19.5980,56.7839,7.1551
diff --git a/Documentation/VECTO_3.1.2.796.vsum b/Documentation/VECTO_3.1.2.796.vsum
new file mode 100644
index 0000000000000000000000000000000000000000..0e3dfb02463522525c0081566d2d0e94db450a3a
--- /dev/null
+++ b/Documentation/VECTO_3.1.2.796.vsum
@@ -0,0 +1,74 @@
+Job [-],Input File [-],Cycle [-],Status,Mass [kg],Loading [kg],Cargo Volume [m³],time [s],distance [km],speed [km/h],altitudeDelta [m],FC-Map [g/h],FC-Map [g/km],FC-AUXc [g/h],FC-AUXc [g/km],FC-WHTCc [g/h],FC-WHTCc [g/km],FC-AAUX [g/h],FC-AAUX [g/km],FC-Final [g/h],FC-Final [g/km],FC-Final [l/100km],FC-Final [l/100tkm],FC-Final [l/100m³km],CO2 [g/km],CO2 [g/tkm],CO2 [g/m³km],P_wheel_in_pos [kW],P_fcmap_pos [kW],E_fcmap_pos [kWh],E_fcmap_neg [kWh],E_powertrain_inertia [kWh],E_aux_FAN [kWh],E_aux_STP [kWh],E_aux_AC [kWh],E_aux_PS [kWh],E_aux_ES [kWh],E_aux_sum [kWh],E_clutch_loss [kWh],E_tc_loss [kWh],E_shift_loss [kWh],E_gbx_loss [kWh],E_ret_loss [kWh],E_angle_loss [kWh],E_axl_loss [kWh],E_brake [kWh],E_vehi_inertia [kWh],E_air [kWh],E_roll [kWh],E_grad [kWh],a [m/s^2],a_pos [m/s^2],a_neg [m/s^2],AccelerationTimeShare [%],DecelerationTimeShare [%],CruiseTimeShare [%],StopTimeShare [%],max. speed [km/h,max. acc [m/s²],max. dec [m/s²],n_eng_avg [rpm],n_eng_max [rpm],gear shifts [-],Engine max. Load time share [%],CoastingTimeShare [%],BrakingTImeShare [%],Gear 0 TimeShare [%],Gear 1 TimeShare [%],Gear 2 TimeShare [%],Gear 3 TimeShare [%],Gear 4 TimeShare [%],Gear 5 TimeShare [%],Gear 6 TimeShare [%],Gear 7 TimeShare [%],Gear 8 TimeShare [%],Gear 9 TimeShare [%],Gear 10 TimeShare [%],Gear 11 TimeShare [%],Gear 12 TimeShare [%]
+10-0,VEH-EURO6_2018_Class-4,LongHaul.vdri,Success,15700.0000,0.0000,98.9000,4525.2111,100.1850,79.7015,-2.5494,17864.5604,224.1434,17864.5604,224.1434,17864.5604,224.1434,17864.5604,224.1434,17864.5604,224.1434,26.9403,,0.2724,708.2932,,7.1617,82.1272,93.5079,117.5397,1.5036,0.0000,0.7768,0.7668,0.4400,1.7598,2.1549,5.8982,0.0114,0.0000,0.0000,2.5080,1.9088,0.0000,4.3745,5.0890,0.0000,70.1086,26.2413,-0.1037,0.0000,-0.5133,-0.5133,3.7449,3.8436,90.9309,1.4806,85.2819,1.0000,1.0000,1173.9298,1763.6058,62.0000,2.3804,1.3407,2.0524,3.0117,0.0000,0.2529,0.0821,0.1603,0.0845,0.1721,0.3613,0.0349,0.1863,0.8812,1.6735,93.0992
+10-1,VEH-EURO6_2018_Class-4,LongHaul.vdri,Success,15700.0000,14000.0000,98.9000,4563.3328,100.1850,79.0357,-2.5494,22135.9016,280.0749,22135.9016,280.0749,22135.9016,280.0749,22135.9016,280.0749,22135.9016,280.0749,33.6628,2.4045,0.3404,885.0366,63.2169,8.9488,103.7910,116.4913,147.6636,2.6024,0.0000,0.7834,0.7732,0.4437,1.7746,2.1730,5.9479,0.0210,0.0000,0.0000,3.4614,1.9047,0.0000,5.6147,12.2550,0.0000,69.4774,46.5753,-0.1961,0.0000,-0.3913,-0.3913,4.1868,4.9141,89.4309,1.4682,90.0000,1.0000,0.9782,1184.1430,1771.0269,69.0000,9.2397,2.6114,1.4995,3.2319,0.0000,0.2508,0.0843,0.1592,0.0839,0.1603,0.3818,0.2169,1.3465,1.7414,2.5156,89.8274
+10-2,VEH-EURO6_2018_Class-4,LongHaul.vdri,Success,15700.0000,20300.0000,98.9000,4602.8387,100.1850,78.3573,-2.5494,23973.4443,305.9504,23973.4443,305.9504,23973.4443,305.9504,23973.4443,305.9504,23973.4443,305.9504,36.7729,1.8115,0.3718,966.8032,47.6258,9.7756,112.9403,126.2991,161.4817,3.1601,0.0000,0.7902,0.7799,0.4475,1.7900,2.1918,5.9994,0.0253,0.0000,0.0000,3.9534,1.9010,0.0000,6.1758,16.2030,0.0000,68.9223,55.3793,-0.2377,0.0000,-0.4064,-0.4064,5.8337,4.8882,87.8225,1.4556,90.0000,1.0000,0.9834,1187.0553,1799.3112,75.0000,15.2691,2.5302,1.5733,3.3456,0.0000,0.2486,0.0835,0.1475,0.0936,0.1803,0.4019,0.5610,2.1854,1.5743,4.0421,87.1362
+10-3,VEH-EURO6_2018_Class-4,RegionalDelivery.vdri,Success,10300.0000,0.0000,49.4000,1568.7233,25.8360,59.2900,0.0101,10666.4789,179.9035,10666.4789,179.9035,10666.4789,179.9035,10666.4789,179.9035,10666.4789,179.9035,21.6230,,0.4377,568.4951,,11.5080,44.7022,52.9875,23.0896,1.1352,0.0000,0.2924,0.2484,0.0872,0.5665,0.6225,1.8169,0.0098,0.0000,0.0000,0.6381,0.4730,0.0000,0.8627,1.6480,0.0000,12.0927,4.4134,-0.0002,0.0000,-0.5890,-0.5890,10.9430,12.2751,69.5148,7.2671,87.4469,1.0000,1.0000,1022.4817,1792.8538,97.0000,1.0086,1.8378,6.7722,13.6923,0.0000,0.9118,0.3256,0.5892,0.3658,0.6536,1.3359,2.2426,3.3315,2.8236,7.7583,65.9698
+10-4,VEH-EURO6_2018_Class-4,RegionalDelivery.vdri,Success,10300.0000,4400.0000,49.4000,1568.4676,25.8360,59.2997,0.0101,12115.0014,204.3013,12115.0014,204.3013,12115.0014,204.3013,12115.0014,204.3013,12115.0014,204.3013,24.5555,5.5808,0.4971,645.5923,146.7255,13.0687,52.8639,61.4808,26.7863,1.7148,0.0000,0.2923,0.2483,0.0871,0.5664,0.6224,1.8166,0.0138,0.0000,0.0000,0.7923,0.4732,0.0000,1.0404,2.7360,0.0000,12.1208,6.0786,-0.0003,0.0000,-0.5498,-0.5498,12.5645,13.3794,66.7879,7.2682,90.0000,1.0000,1.0000,1037.5393,1773.4918,103.0000,3.0669,2.4538,6.7042,14.3861,0.0000,0.9120,0.3258,0.5542,0.3660,0.6231,1.3576,2.2903,4.2172,3.3784,8.8824,62.7070
+10-5,VEH-EURO6_2018_Class-4,RegionalDelivery.vdri,Success,10300.0000,7700.0000,49.4000,1569.5270,25.8360,59.2596,0.0101,13266.0690,223.8635,13266.0690,223.8635,13266.0690,223.8635,13266.0690,223.8635,13266.0690,223.8635,26.9067,3.4944,0.5447,707.4086,91.8712,14.3200,58.9704,67.9431,29.6218,2.1926,0.0000,0.2925,0.2485,0.0872,0.5668,0.6228,1.8178,0.0168,0.0000,0.0000,0.9248,0.4734,0.0000,1.1747,3.5905,0.0000,12.1375,7.2940,-0.0003,0.0000,-0.5294,-0.5294,13.2838,14.1808,65.2721,7.2633,90.0000,1.0000,1.0000,1060.8669,1835.1627,104.0000,5.9395,2.6957,6.9092,14.4719,0.0000,0.9113,0.3257,0.5540,0.3659,0.6228,1.4172,3.3783,5.2092,3.9340,9.6788,59.1309
+10-6,VEH-EURO6_2018_Class-4,MunicipalUtility.vdri,Success,10300.0000,0.0000,49.4000,4509.6326,9.9620,7.9526,-0.0720,3503.0157,440.4881,3503.0157,440.4881,3503.0157,440.4881,3503.0157,440.4881,3503.0157,440.4881,52.9433,,1.0717,1391.9425,,28.1770,6.4949,12.2596,15.3573,1.7802,0.0000,0.7090,0.6389,0.3758,1.5032,1.7895,5.0164,0.1147,0.0000,0.0000,0.5591,0.1679,0.0000,0.3802,2.9291,0.0000,2.7098,1.7020,-0.0020,0.0000,-0.7347,-0.7347,8.3132,8.8776,12.0274,70.7818,85.8000,1.0000,1.0000,741.3198,1845.5330,375.0000,0.2749,1.0796,6.9751,77.6078,0.0000,6.9134,1.0159,0.7654,0.5973,1.9568,1.0890,1.0292,0.9294,1.2815,1.4022,5.4121
+10-7,VEH-EURO6_2018_Class-4,MunicipalUtility.vdri,Success,10300.0000,4400.0000,49.4000,4510.6433,9.9620,7.9508,-0.0720,3859.8393,485.4658,3859.8393,485.4658,3859.8393,485.4658,3859.8393,485.4658,3859.8393,485.4658,58.3493,13.2612,1.1812,1534.0720,348.6527,31.0541,8.3366,14.2868,17.9007,1.9117,0.0000,0.7092,0.6390,0.3759,1.5035,1.7899,5.0176,0.1615,0.0000,0.0000,0.6517,0.1678,0.0000,0.4817,4.4691,0.0000,2.6982,2.3442,-0.0029,0.0000,-0.7489,-0.7489,8.3470,8.6860,12.2010,70.7660,85.8000,1.0000,1.0000,745.2572,1845.5330,370.0000,0.6246,1.2830,7.0407,77.6069,0.0000,6.9118,1.0162,0.7396,0.5809,1.9669,1.0384,1.0381,1.0242,2.0538,1.4591,4.5640
+10-8,VEH-EURO6_2018_Class-4,MunicipalUtility.vdri,Success,10300.0000,7700.0000,49.4000,4510.9863,9.9620,7.9502,-0.0720,4127.9093,519.2214,4127.9093,519.2214,4127.9093,519.2214,4127.9093,519.2214,4127.9093,519.2214,62.4064,8.1047,1.2633,1640.7397,213.0831,33.2134,9.6723,15.7798,19.7730,1.9672,0.0000,0.7092,0.6391,0.3759,1.5037,1.7901,5.0179,0.1966,0.0000,0.0000,0.7205,0.1678,0.0000,0.5528,5.6527,0.0000,2.6880,2.8129,-0.0035,0.0000,-0.7455,-0.7455,8.4140,8.6990,12.1264,70.7606,85.8000,1.0000,1.0000,747.4586,1845.5330,370.0000,0.9772,1.4611,7.0138,77.6260,0.0000,6.9113,1.0163,0.7391,0.5810,1.9750,1.0402,1.1758,1.1152,1.8642,1.5263,4.4296
+11-0,VEH-EURO6_2018_Class-9,LongHaul.vdri,Success,16900.0000,0.0000,101.4000,4527.6070,100.1850,79.6593,-2.5494,18414.9736,231.1717,18414.9736,231.1717,18414.9736,231.1717,18414.9736,231.1717,18414.9736,231.1717,27.7851,,0.2740,730.5025,,7.2042,84.8775,96.5459,121.4227,1.6143,0.0000,0.7772,0.9055,0.4402,1.7607,2.1560,6.0397,0.0123,0.0000,0.0000,2.6303,1.9085,0.0000,4.5269,5.6337,0.0000,70.9333,28.2353,-0.1116,0.0000,-0.4999,-0.4999,3.8533,3.9896,90.6772,1.4798,86.0543,1.0000,1.0000,1175.3714,1766.5727,64.0000,2.8543,1.5193,1.9878,3.0592,0.0000,0.2527,0.0821,0.1602,0.0845,0.1720,0.3845,0.0232,0.2412,0.9356,2.0546,92.5501
+11-1,VEH-EURO6_2018_Class-9,LongHaul.vdri,Success,16900.0000,19300.0000,101.4000,4601.2299,100.1850,78.3847,-2.5494,24253.2376,309.4129,24253.2376,309.4129,24253.2376,309.4129,24253.2376,309.4129,24253.2376,309.4129,37.1891,1.9269,0.3668,977.7449,50.6604,9.6425,114.2371,127.8337,163.3867,3.1276,0.0000,0.7899,0.9202,0.4473,1.7894,2.1911,6.1379,0.0255,0.0000,0.0000,4.0568,1.9013,0.0000,6.2419,16.2779,0.0000,69.8124,56.0444,-0.2390,0.0000,-0.4056,-0.4056,5.4426,4.8621,88.2392,1.4561,90.0000,1.0000,0.9834,1191.2205,1797.0645,73.0000,15.2736,2.5388,1.5697,3.3214,0.0000,0.2487,0.0836,0.1475,0.0937,0.1804,0.3790,0.6876,2.0501,1.5967,5.0229,86.1886
+11-2,VEH-EURO6_2018_Class-9,LongHaul.vdri,Success,16900.0000,23100.0000,101.4000,4621.4457,100.1850,78.0418,-2.5494,25365.0565,325.0188,25365.0565,325.0188,25365.0565,325.0188,25365.0565,325.0188,25365.0565,325.0188,39.0648,1.6911,0.3853,1027.0594,44.4614,10.1288,119.6379,133.6266,171.5412,3.3507,0.0000,0.7933,0.9243,0.4493,1.7972,2.2007,6.1649,0.0281,0.0000,0.0000,4.3491,1.8990,0.0000,6.5686,18.6664,0.0000,69.4662,61.3125,-0.2641,0.0000,-0.3931,-0.3931,5.4093,5.1571,87.9838,1.4498,90.0000,1.0000,0.9861,1194.4723,1785.9007,75.0000,19.0447,2.5261,1.5784,3.3595,0.0000,0.2476,0.0832,0.1573,0.0935,0.1905,0.3547,1.5833,1.5332,1.6111,5.9354,84.8507
+11-3,VEH-EURO6_2018_Class-9,RegionalDelivery.vdri,Success,11500.0000,0.0000,51.9000,1568.5187,25.8360,59.2977,0.0101,11132.7845,187.7439,11132.7845,187.7439,11132.7845,187.7439,11132.7845,187.7439,11132.7845,187.7439,22.5654,,0.4348,593.2706,,11.4310,47.3324,55.7386,24.2853,1.2790,0.0000,0.2924,0.2571,0.0871,0.5664,0.6224,1.8254,0.0110,0.0000,0.0000,0.6823,0.4731,0.0000,0.9181,1.9290,0.0000,12.2851,4.8823,-0.0002,0.0000,-0.5757,-0.5757,11.3259,12.6041,68.8020,7.2680,88.5917,1.0000,1.0000,1026.4527,1799.9014,102.0000,1.2921,1.9940,6.8762,13.7778,0.0000,0.9119,0.3621,0.6257,0.3659,0.6538,1.3320,2.2592,3.4578,3.4684,7.2964,65.4889
+11-4,VEH-EURO6_2018_Class-9,RegionalDelivery.vdri,Success,11500.0000,7100.0000,51.9000,1569.6236,25.8360,59.2560,0.0101,13568.5225,228.9815,13568.5225,228.9815,13568.5225,228.9815,13568.5225,228.9815,13568.5225,228.9815,27.5218,3.8763,0.5303,723.5814,101.9129,13.9418,60.5007,69.5828,30.3386,2.2325,0.0000,0.2926,0.2572,0.0872,0.5668,0.6229,1.8267,0.0175,0.0000,0.0000,0.9498,0.4734,0.0000,1.2048,3.7844,0.0000,12.3239,7.5260,-0.0003,0.0000,-0.5265,-0.5265,13.4740,14.2402,65.0229,7.2629,90.0000,1.0000,1.0000,1061.7738,1817.1322,105.0000,6.8584,2.7136,6.9133,14.4767,0.0000,0.9113,0.3257,0.5540,0.3659,0.6228,1.4513,3.4100,5.2448,3.8963,9.8761,58.8652
+11-5,VEH-EURO6_2018_Class-9,RegionalDelivery.vdri,Success,11500.0000,14500.0000,51.9000,1575.4839,25.8360,59.0356,0.0101,16053.7554,271.9336,16053.7554,271.9336,16053.7554,271.9336,16053.7554,271.9336,16053.7554,271.9336,32.6843,2.2541,0.6298,859.3101,59.2628,16.5570,73.1547,82.9620,36.3070,2.8048,0.0000,0.2937,0.2582,0.0875,0.5689,0.6252,1.8335,0.0242,0.0000,0.0000,1.1751,0.4731,0.0000,1.4682,6.0659,0.0000,12.2891,10.1736,-0.0005,0.0000,-0.4657,-0.4657,16.2422,16.5526,59.9694,7.2359,90.0000,1.0000,1.0000,1074.9655,1812.2549,102.0000,17.7408,3.2099,6.6521,14.3819,0.0000,0.9079,0.3245,0.5522,0.3341,0.6514,1.5348,4.1829,5.1583,5.2985,10.1805,56.4930
+11-6,VEH-EURO6_2018_Class-9,MunicipalUtility.vdri,Success,11500.0000,0.0000,51.9000,4510.1255,9.9620,7.9517,-0.0720,3605.0093,453.3629,3605.0093,453.3629,3605.0093,453.3629,3605.0093,453.3629,3605.0093,453.3629,54.4907,,1.0499,1432.6267,,27.6036,7.0423,12.8614,16.1129,1.8153,0.0000,0.7091,0.6389,0.3758,1.5034,1.7897,5.0170,0.1287,0.0000,0.0000,0.5836,0.1678,0.0000,0.4101,3.3673,0.0000,2.7424,1.8829,-0.0022,0.0000,-0.7424,-0.7424,8.3244,8.7415,12.1601,70.7741,85.8000,1.0000,1.0000,741.4182,1845.5330,375.0000,0.3293,1.2042,6.9805,77.6684,0.0000,6.9126,1.0287,0.7402,0.5972,1.9354,1.0766,1.0505,0.9716,1.2923,1.3621,5.3644
+11-7,VEH-EURO6_2018_Class-9,MunicipalUtility.vdri,Success,11500.0000,7100.0000,51.9000,4510.9469,9.9620,7.9503,-0.0720,4193.0532,527.4108,4193.0532,527.4108,4193.0532,527.4108,4193.0532,527.4108,4193.0532,527.4108,63.3907,8.9283,1.2214,1666.6183,234.7350,32.1121,9.9849,16.1271,20.2079,1.9597,0.0000,0.7092,0.6391,0.3759,1.5036,1.7901,5.0179,0.2043,0.0000,0.0000,0.7360,0.1677,0.0000,0.5686,5.9279,0.0000,2.7270,2.9024,-0.0036,0.0000,-0.7498,-0.7498,8.4476,8.6514,12.1397,70.7612,85.8000,1.0000,1.0000,747.5243,1845.5330,369.0000,1.1404,1.4546,7.0118,77.5672,0.0000,6.9114,1.0164,0.7391,0.5810,1.9750,1.1204,1.1405,1.1117,1.8812,1.5599,4.3963
+11-8,VEH-EURO6_2018_Class-9,MunicipalUtility.vdri,Success,11500.0000,14500.0000,51.9000,4516.8136,9.9620,7.9399,-0.0720,4760.2379,599.5312,4760.2379,599.5312,4760.2379,599.5312,4760.2379,599.5312,4760.2379,599.5312,72.0590,4.9696,1.3884,1894.5186,130.6565,36.5032,12.7143,19.1758,24.0593,2.0371,0.0000,0.7101,0.6399,0.3764,1.5056,1.7924,5.0244,0.2828,0.0000,0.0000,0.9035,0.1674,0.0000,0.7143,8.3302,0.0000,2.6810,3.9235,-0.0051,0.0000,-0.7545,-0.7545,8.5829,8.4856,12.2622,70.6693,85.8000,1.0000,1.0000,754.1237,1845.5330,368.0000,2.4137,1.7531,6.9611,77.4565,0.0000,6.9024,1.0153,0.7271,0.5798,2.0444,1.1523,1.4097,1.2848,1.9698,2.3165,3.1413
+12-0,VEH-EURO6_2018_Class-11,LongHaul.vdri,Success,17700.0000,0.0000,101.4000,4522.7636,100.1850,79.7446,-2.5494,23338.0996,292.6605,23338.0996,292.6605,23338.0996,292.6605,23338.0996,292.6605,23338.0996,292.6605,35.1755,,0.3469,924.8073,,9.1204,104.0835,121.6638,152.8491,1.8904,0.0000,0.7764,0.9046,0.4397,1.7589,2.1537,6.0332,0.0148,0.0000,0.0000,3.2196,0.0000,0.0000,13.1129,5.3448,0.0000,89.0567,34.2936,-0.1169,0.0000,-0.5705,-0.5705,3.8103,3.4671,91.2412,1.4814,85.0000,1.0000,1.0000,1454.8006,1822.3833,59.0000,2.2461,0.6176,2.4089,2.9117,0.0000,0.0000,0.2530,0.0925,0.1611,0.1499,0.1831,0.3062,0.2209,0.4718,1.2004,94.0493
+12-10,VEH-EURO6_2018_Class-11,Construction.vdri,Success,12300.0000,7100.0000,0.0000,2430.7083,21.2190,31.4264,-0.1940,11563.3414,367.9500,11563.3414,367.9500,11563.3414,367.9500,11563.3414,367.9500,11563.3414,367.9500,44.2248,6.2288,,1162.7219,163.7637,,45.3897,57.8277,39.0451,3.6830,0.0000,0.7002,0.5199,0.1350,0.8778,0.9646,3.1974,0.1014,0.0000,0.0000,1.4180,0.0000,0.0000,3.3040,11.5645,0.0000,7.7054,8.0745,-0.0031,0.0000,-0.6590,-0.6590,20.8753,21.3551,31.0285,26.7412,85.3023,1.0000,1.0000,995.3551,1827.6314,331.0000,5.0826,8.0108,12.4801,41.3132,0.0000,0.0000,2.5892,1.0730,1.1326,1.3445,1.7105,2.9397,3.2014,4.1226,8.5225,32.0508
+12-11,VEH-EURO6_2018_Class-11,Construction.vdri,Success,12300.0000,13700.0000,0.0000,2441.0385,21.2190,31.2934,-0.1940,14119.0112,451.1817,14119.0112,451.1817,14119.0112,451.1817,14119.0112,451.1817,14119.0112,451.1817,54.2286,3.9583,,1425.7342,104.0682,,57.1209,71.3861,48.4045,3.9094,0.0000,0.7032,0.5221,0.1356,0.8815,0.9687,3.2110,0.1346,0.0000,0.0000,1.8222,0.0000,0.0000,4.1218,17.1319,0.0000,7.5683,10.5092,-0.0041,0.0000,-0.6633,-0.6633,22.0293,20.7133,30.6294,26.6280,87.0000,1.0000,1.0000,1019.2962,1827.7968,325.0000,10.3987,8.1589,12.6035,41.0825,0.0000,0.0000,2.5783,1.0451,1.1286,1.2966,1.8255,3.2117,4.5916,6.1588,8.1274,28.9540
+12-2,VEH-EURO6_2018_Class-11,LongHaul.vdri,Success,17700.0000,22300.0000,101.4000,4594.7742,100.1850,78.4948,-2.5494,31015.5341,395.1284,31015.5341,395.1284,31015.5341,395.1284,31015.5341,395.1284,31015.5341,395.1284,47.4914,2.1297,0.4684,1248.6057,55.9913,12.3137,140.8363,163.0630,208.1215,3.8676,0.0000,0.7888,0.9190,0.4467,1.7869,2.1880,6.1293,0.0322,0.0000,0.0000,4.9353,0.0000,0.0000,18.1714,16.2822,0.0000,87.5358,71.4318,-0.2641,0.0000,-0.3904,-0.3904,4.4661,5.0185,89.0572,1.4582,90.0000,1.0000,0.9768,1463.9533,1827.9907,66.0000,14.3702,2.4329,1.5376,3.1108,0.0000,0.0000,0.2490,0.0838,0.1581,0.1479,0.2023,0.4231,1.8208,1.5968,3.6575,88.5498
+12-3,VEH-EURO6_2018_Class-11,RegionalDelivery.vdri,Success,12300.0000,0.0000,51.9000,1569.6982,25.8360,59.2532,0.0101,14359.5268,242.3419,14359.5268,242.3419,14359.5268,242.3419,14359.5268,242.3419,14359.5268,242.3419,29.1276,,0.5612,765.8004,,14.7553,59.4639,71.4950,31.1738,1.3408,0.0000,0.2926,0.2573,0.0872,0.5668,0.6229,1.8268,0.0136,0.0000,0.0000,0.8365,0.0000,0.0000,2.6848,1.8636,0.0000,16.0826,6.5252,-0.0002,0.0000,-0.6125,-0.6125,10.7503,11.8810,70.1061,7.2625,85.5820,1.0000,1.0000,1223.7367,1820.1394,92.0000,1.0287,1.7916,6.7286,13.1920,0.0000,0.0000,0.9112,0.3553,0.5953,0.4929,0.7148,1.5298,3.3475,4.4354,5.4820,68.9438
+12-4,VEH-EURO6_2018_Class-11,RegionalDelivery.vdri,Success,12300.0000,7100.0000,51.9000,1571.6490,25.8360,59.1796,0.0101,17182.8511,290.3508,17182.8511,290.3508,17182.8511,290.3508,17182.8511,290.3508,17182.8511,290.3508,34.8979,4.9152,0.6724,917.5085,129.2265,17.6784,73.3278,87.1544,38.0489,2.3276,0.0000,0.2929,0.2576,0.0873,0.5675,0.6237,1.8290,0.0211,0.0000,0.0000,1.1242,0.0000,0.0000,3.3852,3.4291,0.0000,16.0997,9.8333,-0.0003,0.0000,-0.5514,-0.5514,12.6336,13.4825,66.6304,7.2535,90.0000,1.0000,1.0000,1251.7164,1817.6766,102.0000,4.4542,2.0990,6.8144,14.1505,0.0000,0.0000,0.9101,0.3252,0.5530,0.4925,0.7143,1.8673,4.0398,5.1669,9.2384,62.5419
+12-5,VEH-EURO6_2018_Class-11,RegionalDelivery.vdri,Success,12300.0000,13700.0000,51.9000,1575.8260,25.8360,59.0228,0.0101,19836.5191,336.0825,19836.5191,336.0825,19836.5191,336.0825,19836.5191,336.0825,19836.5191,336.0825,40.3945,2.9485,0.7783,1062.0208,77.5198,20.4628,86.2617,101.7573,44.5422,3.1003,0.0000,0.2937,0.2583,0.0875,0.5690,0.6253,1.8339,0.0280,0.0000,0.0000,1.3655,0.0000,0.0000,4.0298,5.3105,0.0000,16.0762,12.7983,-0.0005,0.0000,-0.5281,-0.5281,15.1652,14.0364,63.5641,7.2343,90.0000,1.0000,1.0000,1266.5169,1838.7670,108.0000,13.9056,2.2034,6.6871,14.5129,0.0000,0.0000,0.9077,0.3244,0.5518,0.4913,0.7129,2.2381,5.1081,5.5974,9.1598,60.3957
+12-6,VEH-EURO6_2018_Class-11,MunicipalUtility.vdri,Success,12300.0000,0.0000,51.9000,4509.6217,9.9620,7.9526,-0.0720,4092.4296,514.6030,4092.4296,514.6030,4092.4296,514.6030,4092.4296,514.6030,4092.4296,514.6030,61.8513,,1.1917,1626.1454,,31.3323,8.4828,14.8071,18.5485,1.9296,0.0000,0.7090,0.6389,0.3758,1.5032,1.7895,5.0164,0.1592,0.0000,0.0000,0.6445,0.0000,0.0000,1.1458,3.5201,0.0000,3.6188,2.5164,-0.0024,0.0000,-0.7479,-0.7479,8.3717,8.7994,12.0469,70.7820,85.8000,1.0000,1.0000,759.3573,1851.9918,372.0000,0.2197,0.7044,7.1311,77.7286,0.0000,0.0000,6.9014,1.2573,0.8310,0.7080,1.3209,1.3956,1.3796,0.7207,1.8688,5.8880
+12-7,VEH-EURO6_2018_Class-11,MunicipalUtility.vdri,Success,12300.0000,7100.0000,51.9000,4511.7587,9.9620,7.9488,-0.0720,4735.3831,595.7334,4735.3831,595.7334,4735.3831,595.7334,4735.3831,595.7334,4735.3831,595.7334,71.6026,10.0849,1.3796,1882.5175,265.1433,36.2720,11.4716,18.3353,22.9791,2.0716,0.0000,0.7093,0.6392,0.3760,1.5039,1.7904,5.0188,0.2460,0.0000,0.0000,0.8160,0.0000,0.0000,1.5253,5.9305,0.0000,3.5825,3.7922,-0.0038,0.0000,-0.7423,-0.7423,8.4838,8.7719,11.9959,70.7485,85.8000,1.0000,1.0000,765.3344,1851.9918,376.0000,0.8701,1.2070,7.0232,77.9628,0.0000,0.0000,6.8133,1.2217,0.8342,0.7058,1.4759,1.3220,1.6266,1.0450,1.8042,5.1885
+12-8,VEH-EURO6_2018_Class-11,MunicipalUtility.vdri,Success,12300.0000,13700.0000,51.9000,4515.2292,9.9620,7.9427,-0.0720,5363.6518,675.2916,5363.6518,675.2916,5363.6518,675.2916,5363.6518,675.2916,5363.6518,675.2916,81.1649,5.9244,1.5639,2133.9214,155.7607,41.1160,14.2759,21.6695,27.1786,2.1371,0.0000,0.7099,0.6397,0.3763,1.5051,1.7918,5.0227,0.3266,0.0000,0.0000,0.9861,0.0000,0.0000,1.8741,8.3364,0.0000,3.5650,4.9357,-0.0051,0.0000,-0.7459,-0.7459,8.8035,8.6844,11.8180,70.6941,85.8000,1.0000,1.0000,772.1308,1851.9918,379.0000,2.2597,1.2555,7.0707,78.0206,0.0000,0.0000,6.7960,1.2085,0.8330,0.8356,1.5932,1.4204,1.6646,1.1693,1.7534,4.7053
+12-9,VEH-EURO6_2018_Class-11,Construction.vdri,Success,12300.0000,0.0000,0.0000,2423.3957,21.2190,31.5212,-0.1940,9057.0173,287.3308,9057.0173,287.3308,9057.0173,287.3308,9057.0173,287.3308,9057.0173,287.3308,34.5349,,,907.9652,,,33.2467,43.8187,29.4972,3.0604,0.0000,0.6981,0.5183,0.1346,0.8751,0.9617,3.1878,0.0655,0.0000,0.0000,0.9878,0.0000,0.0000,2.4293,6.6029,0.0000,7.8074,5.3581,-0.0019,0.0000,-0.7058,-0.7058,19.6574,20.1690,33.3517,26.8219,82.0000,1.0000,1.0000,970.4906,1820.1394,335.0000,1.3928,5.2457,12.8770,40.9891,0.0000,0.0000,2.5971,1.0951,1.2955,1.3935,1.8003,2.7426,1.8261,3.2402,5.7907,37.2299
+13-0,VEH-EURO6_2018_Class-16,Construction.vdri,Success,11300.0000,0.0000,0.0000,2422.4769,21.2190,31.5332,-0.1940,8792.6671,278.8386,8792.6671,278.8386,8792.6671,278.8386,8792.6671,278.8386,8792.6671,278.8386,33.5143,,,881.1299,,,32.4556,42.9195,28.8810,2.8175,0.0000,0.6978,0.5181,0.1346,0.8748,0.9613,3.1866,0.0610,0.0000,0.0000,0.9669,0.0000,0.0000,2.3535,5.9838,0.0000,8.5675,4.9460,-0.0018,0.0000,-0.6982,-0.6982,19.6273,20.4846,33.0560,26.8320,82.0000,1.0000,1.0000,976.6977,1820.1394,338.0000,1.4760,4.7075,12.9449,40.9710,0.0000,0.0000,2.5980,1.1192,1.2764,1.4135,1.9213,3.0013,1.9649,3.2228,5.8357,36.6758
+13-1,VEH-EURO6_2018_Class-16,Construction.vdri,Success,11300.0000,12900.0000,0.0000,2442.8133,21.2190,31.2707,-0.1940,13498.2880,431.6597,13498.2880,431.6597,13498.2880,431.6597,13498.2880,431.6597,13498.2880,431.6597,51.8822,4.0219,,1364.0448,105.7399,,54.6366,68.4979,46.4799,3.6478,0.0000,0.7037,0.5225,0.1357,0.8821,0.9694,3.2134,0.1261,0.0000,0.0000,1.7469,0.0000,0.0000,3.9363,15.7302,0.0000,8.2675,9.8156,-0.0038,0.0000,-0.6550,-0.6550,21.8684,21.0371,30.4859,26.6087,87.0000,1.0000,1.0000,1020.4325,1824.7627,327.0000,11.0212,7.9860,12.5719,41.0660,0.0000,0.0000,2.5764,1.0444,1.0850,1.3570,1.8247,3.2734,4.7079,6.0933,8.2438,28.7281
+14-0,VEH-EURO6_2018_Class-5,LongHaul.vdri,Success,15729.2000,0.0000,91.0000,4525.0562,100.1850,79.7042,-2.5494,15977.1533,200.4556,15977.1533,200.4556,15977.1533,200.4556,15977.1533,200.4556,15977.1533,200.4556,24.0932,,0.2648,633.4397,,6.9609,72.0416,82.8283,104.1119,1.7583,0.0000,0.7768,0.9050,0.4399,1.7597,2.1548,6.0363,0.0115,0.0000,0.0000,2.2548,1.9089,0.0000,3.8604,5.3591,0.0000,56.3573,26.6692,-0.1039,0.0000,-0.5018,-0.5018,3.6568,3.8719,90.9906,1.4806,87.0044,1.0000,0.9746,1173.3251,1764.3224,62.0000,2.1970,1.7317,1.9720,2.9872,0.0000,0.2529,0.0821,0.1603,0.0845,0.1721,0.4314,0.0000,0.1864,0.8704,1.4885,93.2842
+14-1,VEH-EURO6_2018_Class-5,LongHaul.vdri,Success,15729.2000,19300.0000,91.0000,4586.6310,100.1850,78.6342,-2.5494,22015.6532,279.9756,22015.6532,279.9756,22015.6532,279.9756,22015.6532,279.9756,22015.6532,279.9756,33.6509,1.7436,0.3698,884.7229,45.8406,9.7222,102.9195,115.6256,147.3145,3.3751,0.0000,0.7874,0.9173,0.4459,1.7837,2.1841,6.1184,0.0247,0.0000,0.0000,3.6062,1.9029,0.0000,5.6357,16.4454,0.0000,55.6146,54.8228,-0.2313,0.0000,-0.4237,-0.4237,4.8439,4.5129,89.1824,1.4608,90.0000,1.0000,0.9838,1185.8175,1801.7713,71.0000,13.1118,2.5440,1.5950,3.2781,0.0000,0.2495,0.0839,0.1480,0.0939,0.1809,0.3802,0.2592,2.2408,1.5802,3.1750,88.3303
+14-2,VEH-EURO6_2018_Class-5,LongHaul.vdri,Success,15729.2000,24270.8000,91.0000,4610.9109,100.1850,78.2201,-2.5494,23532.7301,300.8527,23532.7301,300.8527,23532.7301,300.8527,23532.7301,300.8527,23532.7301,300.8527,36.1602,1.4899,0.3974,950.6944,39.1703,10.4472,110.3599,123.6327,158.3498,3.6434,0.0000,0.7915,0.9222,0.4483,1.7931,2.1957,6.1508,0.0281,0.0000,0.0000,4.0468,1.9007,0.0000,6.0760,19.6496,0.0000,55.3414,61.7772,-0.2641,0.0000,-0.3885,-0.3885,5.1220,5.2198,88.2051,1.4531,90.0000,1.0000,0.9642,1194.1385,1784.5322,73.0000,16.7371,2.5335,1.6241,3.2971,0.0000,0.2482,0.0834,0.1576,0.0937,0.1909,0.4014,1.4921,1.5485,1.5818,5.1880,85.7172
+14-3,VEH-EURO6_2018_Class-5,RegionalDelivery.vdri,Success,15729.2000,0.0000,91.0000,1569.5894,25.8360,59.2573,0.0101,12667.0436,213.7635,12667.0436,213.7635,12667.0436,213.7635,12667.0436,213.7635,12667.0436,213.7635,25.6927,,0.2823,675.4927,,7.4230,55.7109,64.5991,28.1650,1.8986,0.0000,0.2926,0.2921,0.0872,0.5668,0.6229,1.8615,0.0152,0.0000,0.0000,0.8486,0.4732,0.0000,1.1015,3.0409,0.0000,12.0818,6.8440,-0.0003,0.0000,-0.5476,-0.5476,12.7144,13.3892,66.6334,7.2630,90.0000,1.0000,1.0000,1050.8813,1771.4357,100.0000,3.5106,2.4069,6.9823,14.1856,0.0000,0.9113,0.3256,0.5538,0.3658,0.6227,1.3876,3.3127,4.5608,3.5832,9.2466,60.9444
+14-4,VEH-EURO6_2018_Class-5,RegionalDelivery.vdri,Success,15729.2000,12900.0000,91.0000,1579.3013,25.8360,58.8929,0.0101,17094.3872,290.2624,17094.3872,290.2624,17094.3872,290.2624,17094.3872,290.2624,17094.3872,290.2624,34.8873,2.7044,0.3834,917.2291,71.1030,10.0794,78.2370,88.5264,38.8361,2.9156,0.0000,0.2944,0.2939,0.0877,0.5703,0.6267,1.8730,0.0270,0.0000,0.0000,1.2873,0.4727,0.0000,1.5698,6.9376,0.0000,12.0207,11.7328,-0.0005,0.0000,-0.4520,-0.4520,17.0517,17.1535,58.5764,7.2184,90.0000,1.0000,1.0000,1078.7842,1809.3797,110.0000,21.8359,3.5563,6.4952,14.7262,0.0000,0.9057,0.3238,0.5508,0.3333,0.6810,1.6616,4.0618,4.7444,5.6032,12.2099,54.1983
+14-5,VEH-EURO6_2018_Class-5,RegionalDelivery.vdri,Success,15729.2000,24270.8000,91.0000,1601.1468,25.8360,58.0894,0.0101,20634.9576,355.2278,20634.9576,355.2278,20634.9576,355.2278,20634.9576,355.2278,20634.9576,355.2278,42.6956,1.7591,0.4692,1122.5198,46.2498,12.3354,95.5735,107.3056,47.7256,3.3020,0.0000,0.2984,0.2980,0.0890,0.5782,0.6354,1.8989,0.0373,0.0000,0.0000,1.6977,0.4707,0.0000,1.9296,10.7579,0.0000,11.7785,15.8535,-0.0007,0.0000,-0.4032,-0.4032,22.5770,19.6134,50.6896,7.1199,90.0000,1.0000,1.0000,1114.8570,1754.9319,104.0000,34.4799,4.2561,6.1534,14.3170,0.0000,0.8933,0.3194,0.5438,0.3301,0.7038,2.0080,6.4786,7.0926,4.7945,16.0618,46.4572
+15-0,VEH-EURO6_2018_Class-10,LongHaul.vdri,Success,16510.0000,0.0000,91.0000,4525.3769,100.1850,79.6986,-2.5494,16421.4657,206.0447,16421.4657,206.0447,16421.4657,206.0447,16421.4657,206.0447,16421.4657,206.0447,24.7650,,0.2721,651.1013,,7.1550,73.7709,84.5214,106.2476,1.9217,0.0000,0.7769,0.7165,0.4400,1.7599,2.1549,5.8482,0.0121,0.0000,0.0000,2.2925,1.9089,0.0000,3.9572,5.7265,0.0000,57.2361,27.4533,-0.1090,0.0000,-0.5046,-0.5046,3.6123,3.8262,91.0809,1.4805,87.3163,1.0000,1.0000,1171.9312,1767.5220,62.0000,2.1015,1.7727,1.9952,3.0254,0.0000,0.2529,0.0821,0.1603,0.0845,0.1721,0.3848,0.0232,0.1978,0.8034,1.0555,93.7580
+15-1,VEH-EURO6_2018_Class-10,LongHaul.vdri,Success,16510.0000,19300.0000,91.0000,4570.7942,100.1850,78.9066,-2.5494,22437.5525,284.3557,22437.5525,284.3557,22437.5525,284.3557,22437.5525,284.3557,22437.5525,284.3557,34.1774,1.7708,0.3756,898.5640,46.5577,9.8743,104.8543,117.5202,149.2113,3.6421,0.0000,0.7847,0.7237,0.4444,1.7775,2.1766,5.9068,0.0253,0.0000,0.0000,3.6158,1.9044,0.0000,5.7295,16.8524,0.0000,56.6618,55.1095,-0.2364,0.0000,-0.4199,-0.4199,4.3148,4.5096,89.7098,1.4658,90.0000,1.0000,0.9842,1185.6256,1775.3470,69.0000,10.8215,2.5636,1.5954,3.2287,0.0000,0.2504,0.0841,0.1485,0.0942,0.1708,0.4045,0.2269,1.8306,1.6187,2.6018,89.3409
+15-2,VEH-EURO6_2018_Class-10,LongHaul.vdri,Success,16510.0000,23490.0000,91.0000,4596.4242,100.1850,78.4666,-2.5494,23667.7039,301.6276,23667.7039,301.6276,23667.7039,301.6276,23667.7039,301.6276,23667.7039,301.6276,36.2533,1.5434,0.3984,953.1431,40.5765,10.4741,110.9549,124.0421,158.3750,3.8838,0.0000,0.7891,0.7278,0.4469,1.7875,2.1888,5.9400,0.0282,0.0000,0.0000,3.9267,1.9023,0.0000,6.0977,19.5887,0.0000,56.3915,60.8803,-0.2641,0.0000,-0.4045,-0.4045,5.2896,4.8750,88.3778,1.4577,90.0000,1.0000,0.9760,1187.0488,1795.9084,73.0000,14.0599,2.5271,1.6312,3.3082,0.0000,0.2490,0.0836,0.1477,0.0938,0.1806,0.4025,0.7074,2.0531,1.5544,3.3816,87.8382
+15-3,VEH-EURO6_2018_Class-10,RegionalDelivery.vdri,Success,16510.0000,0.0000,91.0000,1569.1113,25.8360,59.2753,0.0101,13083.3875,220.7223,13083.3875,220.7223,13083.3875,220.7223,13083.3875,220.7223,13083.3875,220.7223,26.5291,,0.2915,697.4824,,7.6646,57.5298,66.4589,28.9670,2.0869,0.0000,0.2925,0.2484,0.0872,0.5666,0.6227,1.8174,0.0160,0.0000,0.0000,0.8737,0.4733,0.0000,1.1416,3.2331,0.0000,12.2733,7.0520,-0.0003,0.0000,-0.5476,-0.5476,12.6544,13.3788,66.7015,7.2653,90.0000,1.0000,1.0000,1050.9618,1774.7004,100.0000,3.0666,2.4290,7.0044,14.1747,0.0000,0.9116,0.3257,0.5540,0.3659,0.6230,1.3572,3.3429,4.5605,3.5815,9.2191,60.9839
+15-4,VEH-EURO6_2018_Class-10,RegionalDelivery.vdri,Success,16510.0000,12900.0000,91.0000,1576.1478,25.8360,59.0107,0.0101,17534.2607,297.1369,17534.2607,297.1369,17534.2607,297.1369,17534.2607,297.1369,17534.2607,297.1369,35.7136,2.7685,0.3925,938.9527,72.7870,10.3182,80.3006,90.6014,39.6670,3.1381,0.0000,0.2938,0.2496,0.0876,0.5692,0.6255,1.8255,0.0278,0.0000,0.0000,1.2864,0.4731,0.0000,1.6132,7.1983,0.0000,12.2479,11.8573,-0.0005,0.0000,-0.4559,-0.4559,16.9342,16.7791,59.0538,7.2328,90.0000,1.0000,1.0000,1074.9541,1810.0773,106.0000,19.6646,3.5555,6.5490,14.5144,0.0000,0.9075,0.3244,0.5519,0.3340,0.6513,1.6307,4.3376,4.3312,5.6707,10.6462,56.1000
+15-5,VEH-EURO6_2018_Class-10,RegionalDelivery.vdri,Success,16510.0000,23490.0000,91.0000,1593.1216,25.8360,58.3820,0.0101,20967.1515,359.1373,20967.1515,359.1373,20967.1515,359.1373,20967.1515,359.1373,20967.1515,359.1373,43.1655,1.8376,0.4743,1134.8740,48.3131,12.4711,97.1047,108.8431,48.1668,3.5777,0.0000,0.2969,0.2522,0.0885,0.5753,0.6322,1.8452,0.0374,0.0000,0.0000,1.6956,0.4716,0.0000,1.9595,10.8750,0.0000,12.0671,15.6385,-0.0007,0.0000,-0.4041,-0.4041,21.7870,19.6635,51.3937,7.1558,90.0000,1.0000,1.0000,1109.3633,1779.3272,108.0000,31.1145,4.2037,6.2815,14.6656,0.0000,0.8978,0.3210,0.5462,0.3312,0.7071,1.8930,5.0423,7.4952,5.0031,15.7406,47.3569
+16-0,VEH-EURO6_2018_Class-12,LongHaul.vdri,Success,17560.0000,0.0000,91.0000,4521.1795,100.1850,79.7725,-2.5494,21867.4526,274.1225,21867.4526,274.1225,21867.4526,274.1225,21867.4526,274.1225,21867.4526,274.1225,32.9474,,0.3621,866.2272,,9.5190,94.0475,110.2129,138.4145,2.1477,0.0000,0.7761,0.7159,0.4396,1.7582,2.1529,5.8427,0.0147,0.0000,0.0000,2.9428,0.0000,0.0000,11.8910,5.5168,0.0000,77.1750,32.9997,-0.1159,0.0000,-0.5682,-0.5682,3.5597,3.5143,91.4440,1.4819,85.0000,1.0000,1.0000,1453.5245,1828.8123,59.0000,1.7468,0.7198,2.4616,2.8979,0.0000,0.0000,0.2531,0.0822,0.1715,0.1500,0.1724,0.2990,0.1852,0.4835,0.9686,94.3366
+16-1,VEH-EURO6_2018_Class-12,LongHaul.vdri,Success,17560.0000,19300.0000,91.0000,4559.8805,100.1850,79.0955,-2.5494,28406.8186,359.1459,28406.8186,359.1459,28406.8186,359.1459,28406.8186,359.1459,28406.8186,359.1459,43.1666,2.2366,0.4744,1134.9009,58.8032,12.4714,126.8483,147.1164,186.3425,4.2182,0.0000,0.7828,0.7220,0.4433,1.7733,2.1714,5.8927,0.0298,0.0000,0.0000,4.3799,0.0000,0.0000,16.3170,15.0152,0.0000,76.4141,64.3188,-0.2434,0.0000,-0.3969,-0.3969,4.0513,4.7018,89.7775,1.4693,90.0000,1.0000,0.9770,1461.5325,1826.0347,62.0000,8.2610,2.4516,1.5484,3.0546,0.0000,0.0000,0.2510,0.0844,0.1488,0.1593,0.1821,0.3828,0.3579,2.2104,2.6865,90.4822
+16-2,VEH-EURO6_2018_Class-12,LongHaul.vdri,Success,17560.0000,22440.0000,91.0000,4573.0810,100.1850,78.8672,-2.5494,29449.4999,373.4063,29449.4999,373.4063,29449.4999,373.4063,29449.4999,373.4063,29449.4999,373.4063,44.8806,2.0000,0.4932,1179.9638,52.5831,12.9666,131.9150,152.8292,194.1390,4.5741,0.0000,0.7850,0.7241,0.4446,1.7784,2.1777,5.9098,0.0323,0.0000,0.0000,4.6137,0.0000,0.0000,17.0352,16.8008,0.0000,76.2076,69.2297,-0.2641,0.0000,-0.3964,-0.3964,4.1051,4.8037,89.6261,1.4651,90.0000,1.0000,0.9764,1463.7153,1828.0430,64.0000,10.3980,2.4998,1.5386,3.0746,0.0000,0.0000,0.2502,0.0841,0.1484,0.1589,0.1817,0.4372,1.1951,1.7575,2.9243,89.7879
+16-3,VEH-EURO6_2018_Class-12,RegionalDelivery.vdri,Success,17560.0000,0.0000,91.0000,1569.7111,25.8360,59.2527,0.0101,16741.8764,282.5505,16741.8764,282.5505,16741.8764,282.5505,16741.8764,282.5505,16741.8764,282.5505,33.9604,,0.3732,892.8596,,9.8116,69.9747,83.2419,36.2960,2.1608,0.0000,0.2926,0.2485,0.0872,0.5668,0.6229,1.8181,0.0195,0.0000,0.0000,1.0397,0.0000,0.0000,3.2222,3.0431,0.0000,16.4499,8.5431,-0.0003,0.0000,-0.5729,-0.5729,11.7303,12.6993,68.3079,7.2625,88.8693,1.0000,1.0000,1240.2417,1818.6190,91.0000,1.8917,2.0177,6.8412,13.4387,0.0000,0.0000,0.9112,0.3256,0.5537,0.4931,0.7153,1.6205,3.9768,5.3785,6.9767,65.6098
+16-4,VEH-EURO6_2018_Class-12,RegionalDelivery.vdri,Success,17560.0000,12900.0000,91.0000,1578.1993,25.8360,58.9340,0.0101,21730.2076,368.7211,21730.2076,368.7211,21730.2076,368.7211,21730.2076,368.7211,21730.2076,368.7211,44.3174,3.4355,0.4870,1165.1586,90.3224,12.8039,94.3241,110.7737,48.5619,3.7657,0.0000,0.2942,0.2499,0.0877,0.5699,0.6263,1.8279,0.0329,0.0000,0.0000,1.5058,0.0000,0.0000,4.4508,6.5398,0.0000,16.4146,14.0250,-0.0005,0.0000,-0.4896,-0.4896,15.9616,15.2077,61.6073,7.2234,90.0000,1.0000,1.0000,1270.3025,1838.8110,108.0000,17.0647,2.5915,6.6718,14.5088,0.0000,0.0000,0.9063,0.3240,0.5511,0.4907,0.7123,2.4231,5.2891,6.1509,8.9743,59.6695
+16-5,VEH-EURO6_2018_Class-12,RegionalDelivery.vdri,Success,17560.0000,22440.0000,91.0000,1589.7319,25.8360,58.5065,0.0101,25051.8460,428.1893,25051.8460,428.1893,25051.8460,428.1893,25051.8460,428.1893,25051.8460,428.1893,51.4651,2.2935,0.5656,1353.0783,60.2976,14.8690,110.2049,128.8055,56.8795,4.4969,0.0000,0.2963,0.2517,0.0883,0.5741,0.6308,1.8413,0.0428,0.0000,0.0000,1.8423,0.0000,0.0000,5.2473,9.2437,0.0000,16.2435,17.9225,-0.0007,0.0000,-0.4477,-0.4477,19.3706,16.9507,56.5077,7.1710,90.0000,1.0000,1.0000,1289.4964,1831.3579,106.0000,27.2430,2.9994,6.3704,14.2473,0.0000,0.0000,0.8998,0.3217,0.5472,0.4879,0.7704,3.3751,6.6741,5.1053,12.8975,54.6736
+16-6,VEH-EURO6_2018_Class-12,Construction.vdri,Success,17560.0000,0.0000,0.0000,2428.1888,21.2190,31.4590,-0.1940,11172.6884,355.1507,11172.6884,355.1507,11172.6884,355.1507,11172.6884,355.1507,11172.6884,355.1507,42.6864,,,1122.2764,,,42.5755,54.5663,36.8048,3.7030,0.0000,0.6995,0.5194,0.1349,0.8768,0.9636,3.1941,0.0937,0.0000,0.0000,1.2959,0.0000,0.0000,3.1137,10.3969,0.0000,7.9952,7.0151,-0.0028,0.0000,-0.6687,-0.6687,20.5666,20.9777,31.6868,26.7689,84.0132,1.0000,1.0000,983.6737,1820.1394,332.0000,2.9392,7.8041,12.4723,41.4780,0.0000,0.0000,2.5919,1.0742,1.1346,1.3651,1.7123,2.6870,2.8395,3.6305,6.6632,34.8236
+16-7,VEH-EURO6_2018_Class-12,Construction.vdri,Success,17560.0000,12900.0000,0.0000,2445.8494,21.2190,31.2318,-0.1940,15952.4310,510.7745,15952.4310,510.7745,15952.4310,510.7745,15952.4310,510.7745,15952.4310,510.7745,61.3912,4.7590,,1614.0473,125.1199,,64.7096,80.1183,54.4326,4.1752,0.0000,0.7045,0.5231,0.1359,0.8832,0.9706,3.2174,0.1585,0.0000,0.0000,2.0698,0.0000,0.0000,4.6631,20.8622,0.0000,7.7748,11.5164,-0.0048,0.0000,-0.6619,-0.6619,22.1095,20.4838,30.8311,26.5756,87.0000,1.0000,1.0000,1027.6645,1827.2965,324.0000,13.1456,8.7458,12.4518,41.0312,0.0000,0.0000,2.5732,1.0668,1.1040,1.2721,1.9236,3.4191,6.1505,4.5377,8.3907,28.5310
+16-8,VEH-EURO6_2018_Class-12,Construction.vdri,Success,17560.0000,22440.0000,0.0000,2492.7210,21.2190,30.6446,-0.1940,18840.7934,614.8164,18840.7934,614.8164,18840.7934,614.8164,18840.7934,614.8164,18840.7934,614.8164,73.8962,3.2931,,1942.8198,86.5784,,78.1647,95.5847,66.1850,4.3279,0.0000,0.7180,0.5332,0.1385,0.9001,0.9892,3.2790,0.1814,0.0000,0.0000,2.5504,0.0000,0.0000,5.6796,27.9911,0.0000,7.4652,14.7169,-0.0063,0.0000,-0.6614,-0.6614,23.7253,19.7056,30.4931,26.0759,87.0000,1.0000,1.0000,1053.4526,1836.9545,319.0000,19.5419,8.8184,12.0719,40.0297,0.0000,0.4822,2.1866,0.9914,1.0990,1.4088,2.5326,5.1055,6.5902,6.4611,8.9156,24.1972
+17-0,VEH-EURO6_2018_Class-1,RegionalDelivery.vdri,Success,5610.0000,0.0000,36.5000,1574.0493,25.8360,59.0894,0.0101,7752.8752,131.2059,7752.8752,131.2059,7752.8752,131.2059,7752.8752,131.2059,7752.8752,131.2059,15.7699,,0.4321,414.6106,,11.3592,31.9235,38.7709,16.9520,0.4142,0.0000,0.2934,0.1224,0.0656,0.5684,0.6246,1.6744,0.0051,0.0000,0.0000,0.6225,0.0000,0.0000,0.7579,0.8375,0.0000,9.8392,2.8013,-0.0001,0.0000,-0.6228,-0.6228,11.2963,12.1300,69.3313,7.2425,85.1583,1.0000,1.0000,1413.7894,2306.7296,61.0000,4.5714,1.1034,6.8542,13.1291,1.0263,1.8547,2.8841,10.3415,16.2915,54.4727,,,,,,
+17-1,VEH-EURO6_2018_Class-1,RegionalDelivery.vdri,Success,5610.0000,1250.0000,36.5000,1574.2938,25.8360,59.0802,0.0101,8146.3885,137.8869,8146.3885,137.8869,8146.3885,137.8869,8146.3885,137.8869,8146.3885,137.8869,16.5729,13.2584,0.4541,435.7227,348.5782,11.9376,34.0178,40.9618,17.9127,0.5293,0.0000,0.2934,0.1224,0.0656,0.5685,0.6247,1.6747,0.0062,0.0000,0.0000,0.6592,0.0000,0.0000,0.8143,1.0505,0.0000,9.8214,3.3573,-0.0001,0.0000,-0.5663,-0.5663,12.7645,13.1945,66.7997,7.2413,86.5393,1.0000,1.0000,1424.2079,2323.6929,62.0000,9.8165,1.7089,6.7153,13.0936,1.0264,1.8533,3.2302,10.3132,17.3272,53.1561,,,,,,
+17-2,VEH-EURO6_2018_Class-1,RegionalDelivery.vdri,Success,5610.0000,1890.0000,36.5000,1576.7245,25.8360,58.9891,0.0101,8347.5519,141.5100,8347.5519,141.5100,8347.5519,141.5100,8347.5519,141.5100,8347.5519,141.5100,17.0084,8.9992,0.4660,447.1716,236.5987,12.2513,35.0032,42.0457,18.4152,0.5917,0.0000,0.2939,0.1226,0.0657,0.5694,0.6257,1.6773,0.0068,0.0000,0.0000,0.6811,0.0000,0.0000,0.8414,1.1920,0.0000,9.7872,3.6379,-0.0001,0.0000,-0.5424,-0.5424,13.5297,13.7972,65.4429,7.2302,87.5593,1.0000,1.0000,1433.5715,2329.5661,65.0000,12.4606,1.7891,6.7124,13.6550,1.0546,1.7502,3.3410,10.7075,17.6469,51.8447,,,,,,
+17-3,VEH-EURO6_2018_Class-1,UrbanDelivery.vdri,Success,5610.0000,0.0000,36.5000,3250.7137,27.8160,30.8048,-0.0158,4097.2218,133.0059,4097.2218,133.0059,4097.2218,133.0059,4097.2218,133.0059,4097.2218,133.0059,15.9863,,0.4380,420.2987,,11.5150,14.2474,19.4863,17.5957,1.2105,0.0000,0.4659,0.2438,0.1354,1.0836,1.2900,3.2187,0.0266,0.0000,0.0000,0.6534,0.0000,0.0000,0.7346,3.2545,0.0000,5.4815,3.0160,-0.0001,0.0000,-0.7184,-0.7184,15.1842,15.8874,49.2712,19.6572,85.0000,1.0000,1.0000,1223.9191,2304.8543,233.0000,1.8322,0.7042,11.3942,29.5800,3.2577,5.4487,11.0719,16.5562,27.3604,6.7251,,,,,,
+17-4,VEH-EURO6_2018_Class-1,UrbanDelivery.vdri,Success,5610.0000,1250.0000,36.5000,3250.6532,27.8160,30.8054,-0.0158,4479.7841,145.4221,4479.7841,145.4221,4479.7841,145.4221,4479.7841,145.4221,4479.7841,145.4221,17.4786,13.9829,0.4789,459.5340,367.6272,12.5900,16.1383,21.5557,19.4639,1.3625,0.0000,0.4659,0.2438,0.1354,1.0836,1.2899,3.2187,0.0323,0.0000,0.0000,0.7169,0.0000,0.0000,0.8318,4.2089,0.0000,5.4785,3.6145,-0.0001,0.0000,-0.7130,-0.7130,15.8379,15.9606,48.5440,19.6576,85.0437,1.0000,1.0000,1234.8564,2329.2931,236.0000,3.2517,1.0654,11.2478,30.1027,3.2938,5.2222,11.6030,16.9437,26.7402,6.0943,,,,,,
+17-5,VEH-EURO6_2018_Class-1,UrbanDelivery.vdri,Success,5610.0000,1890.0000,36.5000,3252.0112,27.8160,30.7925,-0.0158,4685.6982,152.1700,4685.6982,152.1700,4685.6982,152.1700,4685.6982,152.1700,4685.6982,152.1700,18.2897,9.6771,0.5011,480.8573,254.4219,13.1742,17.0895,22.6425,20.4538,1.4433,0.0043,0.4661,0.2439,0.1355,1.0840,1.2905,3.2200,0.0352,0.0000,0.0000,0.7605,0.0000,0.0000,0.8798,4.7252,0.0000,5.4691,3.9166,-0.0001,0.0000,-0.7003,-0.7003,16.1122,16.2377,48.0007,19.6494,85.2012,1.0000,1.0000,1247.2528,2334.0676,241.0000,4.4699,1.2177,11.2807,30.5182,3.3038,5.2193,11.7565,17.8697,25.5173,5.8152,,,,,,
+8-0,VEH-EURO6_2018_Class-2,LongHaul.vdri,Success,9970.0000,0.0000,85.0000,4533.2076,100.1850,79.5609,-2.5494,15953.3177,200.5171,15953.3177,200.5171,15953.3177,200.5171,15953.3177,200.5171,15953.3177,200.5171,24.1006,,0.2835,633.6340,,7.4545,70.1358,81.1001,102.1232,0.7091,0.0000,0.7782,0.4659,0.2518,1.7629,2.1587,5.4175,0.0066,0.0000,0.0000,3.8023,0.0000,0.0000,4.6878,2.7930,0.0000,66.6464,18.1264,-0.0658,0.0000,-0.5750,-0.5750,4.3222,3.5302,90.6696,1.4780,85.0000,1.0000,1.0000,1584.3577,2330.6218,43.0000,4.3424,0.4097,2.2849,3.1062,0.2830,0.6100,0.2473,0.7408,2.9818,92.0307,,,,,,
+8-1,VEH-EURO6_2018_Class-2,LongHaul.vdri,Success,9970.0000,9866.1765,85.0000,4620.4165,100.1850,78.0592,-2.5494,18730.1439,239.9479,18730.1439,239.9479,18730.1439,239.9479,18730.1439,239.9479,18730.1439,239.9479,28.8399,2.9231,0.3393,758.2355,76.8520,8.9204,83.9078,95.9486,123.1451,1.2981,0.0000,0.7932,0.4749,0.2567,1.7968,2.2002,5.5218,0.0129,0.0000,0.0000,4.4896,0.0000,0.0000,5.7453,7.3462,0.0000,65.1960,33.6664,-0.1310,0.0000,-0.4087,-0.4087,5.0303,4.8183,88.7014,1.4501,89.1588,1.0000,0.9877,1606.3404,2346.7622,47.0000,22.0009,2.1164,1.5014,3.2782,0.2783,0.6176,0.4699,3.2154,7.2521,84.8884,,,,,,
+8-2,VEH-EURO6_2018_Class-2,LongHaul.vdri,Success,9970.0000,12520.0000,85.0000,4668.7254,100.1850,77.2515,-2.5494,19324.4451,250.1498,19324.4451,250.1498,19324.4451,250.1498,19324.4451,250.1498,19324.4451,250.1498,30.0661,2.4014,0.3537,790.4734,63.1369,9.2997,86.7589,99.0060,128.3977,1.3878,0.0000,0.8015,0.4798,0.2594,1.8156,2.2232,5.5795,0.0147,0.0000,0.0000,4.6270,0.0000,0.0000,6.0047,8.7164,0.0000,64.5219,37.6943,-0.1485,0.0000,-0.3830,-0.3830,6.6437,5.5290,86.3922,1.4351,90.0000,1.0000,1.0000,1616.2983,2345.3543,51.0000,26.7607,2.3881,1.4479,3.4132,0.2767,0.6277,1.5544,2.7118,9.5968,81.8194,,,,,,
+8-3,VEH-EURO6_2018_Class-2,RegionalDelivery.vdri,Success,6570.0000,0.0000,45.2000,1573.5642,25.8360,59.1076,0.0101,9073.2864,153.5046,9073.2864,153.5046,9073.2864,153.5046,9073.2864,153.5046,9073.2864,153.5046,18.4501,,0.4082,485.0744,,10.7317,37.1209,44.6745,19.5273,0.5602,0.0000,0.2933,0.1486,0.0874,0.5682,0.6244,1.7220,0.0058,0.0000,0.0000,0.7134,0.0000,0.0000,0.8825,0.9862,0.0000,11.3551,3.3022,-0.0001,0.0000,-0.6308,-0.6308,10.6218,11.8059,70.3276,7.2447,85.0943,1.0000,1.0000,1413.2983,2313.4499,58.0000,0.5343,1.0172,6.9448,12.5842,1.0266,1.8245,2.6182,9.4746,16.6883,55.7835,,,,,,
+8-4,VEH-EURO6_2018_Class-2,RegionalDelivery.vdri,Success,6570.0000,3019.5882,45.2000,1573.2034,25.8360,59.1212,0.0101,10111.0221,171.0221,10111.0221,171.0221,10111.0221,171.0221,10111.0221,171.0221,10111.0221,171.0221,20.5555,6.8074,0.4548,540.4298,178.9747,11.9564,42.4840,50.4022,22.0258,0.8767,0.0000,0.2932,0.1486,0.0874,0.5681,0.6243,1.7216,0.0084,0.0000,0.0000,0.8098,0.0000,0.0000,1.0245,1.5803,0.0000,11.3636,4.6410,-0.0002,0.0000,-0.5749,-0.5749,12.2386,12.9540,67.5610,7.2464,88.3638,1.0000,1.0000,1440.3838,2302.5304,63.0000,6.2626,1.7257,6.8174,13.5384,1.0268,1.7528,3.1436,10.3203,17.8350,52.3831,,,,,,
+8-5,VEH-EURO6_2018_Class-2,RegionalDelivery.vdri,Success,6570.0000,5420.0000,45.2000,1575.9077,25.8360,59.0197,0.0101,10919.3929,185.0127,10919.3929,185.0127,10919.3929,185.0127,10919.3929,185.0127,10919.3929,185.0127,22.2371,4.1028,0.4920,584.6401,107.8672,12.9345,46.6186,54.8254,23.9999,1.1134,0.0000,0.2937,0.1488,0.0876,0.5691,0.6254,1.7246,0.0104,0.0000,0.0000,0.9024,0.0000,0.0000,1.1366,2.1229,0.0000,11.3153,5.6746,-0.0002,0.0000,-0.5248,-0.5248,14.2524,14.1909,64.3229,7.2339,90.0000,1.0000,1.0000,1446.1417,2323.0972,65.0000,13.5535,2.0838,6.6825,13.8607,1.0252,1.7395,3.4546,11.6383,14.9301,53.3516,,,,,,
+8-6,VEH-EURO6_2018_Class-2,UrbanDelivery.vdri,Success,6570.0000,0.0000,45.2000,3246.3686,27.8160,30.8460,-0.0158,4827.8382,156.5141,4827.8382,156.5141,4827.8382,156.5141,4827.8382,156.5141,4827.8382,156.5141,18.8118,,0.4162,494.5844,,10.9421,16.6933,22.4550,20.2493,1.6310,0.0000,0.4653,0.2795,0.1353,1.0821,1.2882,3.2505,0.0304,0.0000,0.0000,0.7328,0.0000,0.0000,0.8601,3.8816,0.0000,6.3078,3.5552,-0.0001,0.0000,-0.7430,-0.7430,14.9138,15.3314,50.0712,19.6835,85.0000,1.0000,1.0000,1204.6607,2325.3677,227.0000,0.7117,0.3585,11.4561,29.1805,3.2619,5.3611,9.4283,18.0541,24.5220,10.1921,,,,,,
+8-7,VEH-EURO6_2018_Class-2,UrbanDelivery.vdri,Success,6570.0000,3019.5882,45.2000,3251.1883,27.8160,30.8003,-0.0158,5746.3441,186.5677,5746.3441,186.5677,5746.3441,186.5677,5746.3441,186.5677,5746.3441,186.5677,22.4240,7.4262,0.4961,589.5541,195.2432,13.0432,21.2046,27.4144,24.7581,2.0417,0.0000,0.4660,0.2800,0.1355,1.0837,1.2902,3.2553,0.0438,0.0000,0.0000,0.8806,0.0000,0.0000,1.0940,6.1455,0.0000,6.3008,4.9966,-0.0001,0.0000,-0.7138,-0.7138,15.6404,15.8523,48.8529,19.6544,85.3710,1.0000,1.0000,1239.0847,2314.9925,233.0000,2.5605,1.3535,11.2820,30.1138,3.2606,5.1824,10.9758,17.4923,26.3796,6.5954,,,,,,
+8-8,VEH-EURO6_2018_Class-2,UrbanDelivery.vdri,Success,6570.0000,5420.0000,45.2000,3252.1582,27.8160,30.7911,-0.0158,6514.3400,211.5655,6514.3400,211.5655,6514.3400,211.5655,6514.3400,211.5655,6514.3400,211.5655,25.4285,4.6916,0.5626,668.5471,123.3482,14.7909,24.9147,31.4784,28.4368,2.2687,0.0000,0.4661,0.2800,0.1355,1.0841,1.2905,3.2563,0.0544,0.0000,0.0000,1.0191,0.0000,0.0000,1.2814,8.1651,0.0000,6.2827,6.1093,-0.0001,0.0000,-0.7061,-0.7061,16.5223,15.9530,47.8762,19.6485,85.9955,1.0000,1.0000,1260.0318,2329.5165,234.0000,5.8935,1.5182,11.2564,30.4930,3.2776,5.1665,11.3425,18.9520,24.9660,5.8023,,,,,,
+9-0,VEH-EURO6_2018_Class-3,RegionalDelivery.vdri,Success,6980.0000,0.0000,47.7000,1572.6286,25.8360,59.1428,0.0101,8826.3645,149.2383,8826.3645,149.2383,8826.3645,149.2383,8826.3645,149.2383,8826.3645,149.2383,17.9373,,0.3760,471.5930,,9.8866,35.7626,43.1971,18.8703,0.6691,0.0000,0.2931,0.1616,0.0874,0.5679,0.6241,1.7341,0.0074,0.0000,0.0000,0.6897,0.0000,0.0000,0.8568,1.0606,0.0000,10.5575,3.2952,-0.0001,0.0000,-0.6132,-0.6132,10.6011,12.0128,70.1371,7.2490,85.7160,1.0000,1.0000,1354.1165,2271.9925,59.0000,0.8789,1.5333,6.8311,12.5649,1.1460,1.9561,2.4338,9.5667,16.4365,55.8960,,,,,,
+9-1,VEH-EURO6_2018_Class-3,RegionalDelivery.vdri,Success,6980.0000,4205.8824,47.7000,1571.8762,25.8360,59.1711,0.0101,10247.8048,173.1894,10247.8048,173.1894,10247.8048,173.1894,10247.8048,173.1894,10247.8048,173.1894,20.8160,4.9493,0.4364,547.2786,130.1222,11.4733,43.2900,51.1188,22.3201,1.0879,0.0000,0.2930,0.1616,0.0873,0.5676,0.6238,1.7332,0.0116,0.0000,0.0000,0.8292,0.0000,0.0000,1.0574,1.9799,0.0000,10.5837,5.0374,-0.0002,0.0000,-0.5496,-0.5496,13.1912,13.5321,66.0242,7.2525,90.0000,1.0000,1.0000,1349.0416,2290.5263,64.0000,7.2945,2.0653,6.8332,13.6189,1.1007,1.7024,3.3350,11.1223,15.3713,53.7493,,,,,,
+9-2,VEH-EURO6_2018_Class-3,RegionalDelivery.vdri,Success,6980.0000,8020.0000,47.7000,1575.7014,25.8360,59.0274,0.0101,11596.3533,196.4570,11596.3533,196.4570,11596.3533,196.4570,11596.3533,196.4570,11596.3533,196.4570,23.6126,2.9442,0.4950,620.8042,77.4070,13.0148,50.0935,58.5009,25.6055,1.4447,0.0000,0.2937,0.1619,0.0875,0.5690,0.6253,1.7375,0.0155,0.0000,0.0000,0.9724,0.0000,0.0000,1.2368,3.1146,0.0000,10.5246,6.5598,-0.0003,0.0000,-0.4921,-0.4921,15.6267,15.4869,61.6514,7.2349,90.0000,1.0000,1.0000,1358.4197,2334.8486,68.0000,16.7148,2.2362,6.6727,14.3681,1.0619,1.9103,3.8622,11.2046,14.6527,52.9402,,,,,,
+9-3,VEH-EURO6_2018_Class-3,UrbanDelivery.vdri,Success,6980.0000,0.0000,47.7000,3242.0202,27.8160,30.8874,-0.0158,4921.2004,159.3271,4921.2004,159.3271,4921.2004,159.3271,4921.2004,159.3271,4921.2004,159.3271,19.1499,,0.4015,503.4736,,10.5550,16.7467,22.5912,20.3447,1.7927,0.0000,0.4647,0.3152,0.1351,1.0807,1.2865,3.2822,0.0383,0.0000,0.0000,0.7229,0.0000,0.0000,0.8667,4.2213,0.0000,5.8732,3.5476,-0.0001,0.0000,-0.7396,-0.7396,15.0244,15.3627,49.9029,19.7099,85.0000,1.0000,1.0000,1173.0011,2282.6283,224.0000,0.8350,0.6458,11.4892,29.5637,3.7524,5.1328,9.6753,18.0811,23.5547,10.2400,,,,,,
+9-4,VEH-EURO6_2018_Class-3,UrbanDelivery.vdri,Success,6980.0000,4205.8824,47.7000,3246.2569,27.8160,30.8471,-0.0158,6212.5255,201.3974,6212.5255,201.3974,6212.5255,201.3974,6212.5255,201.3974,6212.5255,201.3974,24.2064,5.7554,0.5075,636.4158,151.3157,13.3421,23.1036,29.5459,26.6426,2.3154,0.0000,0.4653,0.3156,0.1353,1.0821,1.2882,3.2864,0.0605,0.0000,0.0000,0.9446,0.0000,0.0000,1.1947,7.5535,0.0000,5.8643,5.4234,-0.0001,0.0000,-0.7066,-0.7066,16.1601,16.0378,48.1179,19.6842,85.9853,1.0000,1.0000,1209.0647,2294.8202,233.0000,3.1448,1.5269,11.2833,30.4822,3.7366,4.9675,11.4252,19.2959,23.5336,6.5590,,,,,,
+9-5,VEH-EURO6_2018_Class-3,UrbanDelivery.vdri,Success,6980.0000,8020.0000,47.7000,3248.6235,27.8160,30.8246,-0.0158,7388.5659,239.6969,7388.5659,239.6969,7388.5659,239.6969,7388.5659,239.6969,7388.5659,239.6969,28.8097,3.5922,0.6040,757.4421,94.4442,15.8793,28.7996,35.8411,32.3428,2.5681,0.0000,0.4656,0.3158,0.1354,1.0829,1.2891,3.2888,0.0807,0.0000,0.0000,1.1720,0.0000,0.0000,1.4776,10.8470,0.0000,5.8463,7.0624,-0.0002,0.0000,-0.6905,-0.6905,17.5409,16.4309,46.3583,19.6699,86.9258,1.0000,1.0000,1222.2169,2325.2434,239.0000,7.9208,1.5828,11.2057,31.1786,3.6915,4.8497,14.1522,18.4138,20.2272,7.4870,,,,,,
diff --git a/Documentation/VECTO_3.1.2.810.vsum b/Documentation/VECTO_3.1.2.810.vsum
new file mode 100644
index 0000000000000000000000000000000000000000..25ed56a539329895eb28380afa64a47aad1c62a9
--- /dev/null
+++ b/Documentation/VECTO_3.1.2.810.vsum
@@ -0,0 +1,74 @@
+Job [-],Input File [-],Cycle [-],Status,HDV CO2 vehicle class [-],Chassis curb mass [kg],Loading [kg],Total vehicle mass [kg],Engine rated power [kW],Engine idling speed [rpm],Engine rated speed [rpm],Engine displacement [ccm],CdxA [m²],weighed RRC [-],Transmission type [-],Gear ratio first gear [-],Gear ratio last gear [-],Axle gear ratio [-],r_dyn [m],Retarder type [-],Cargo Volume [m³],time [s],distance [km],speed [km/h],altitudeDelta [m],FC-Map [g/h],FC-Map [g/km],FC-AUXc [g/h],FC-AUXc [g/km],FC-WHTCc [g/h],FC-WHTCc [g/km],FC-AAUX [g/h],FC-AAUX [g/km],FC-Final [g/h],FC-Final [g/km],FC-Final [l/100km],FC-Final [l/100tkm],FC-Final [l/100m³km],CO2 [g/km],CO2 [g/tkm],CO2 [g/m³km],P_wheel_in_pos [kW],P_fcmap_pos [kW],E_fcmap_pos [kWh],E_fcmap_neg [kWh],E_powertrain_inertia [kWh],E_aux_FAN [kWh],E_aux_STP [kWh],E_aux_AC [kWh],E_aux_PS [kWh],E_aux_ES [kWh],E_aux_sum [kWh],E_clutch_loss [kWh],E_tc_loss [kWh],E_shift_loss [kWh],E_gbx_loss [kWh],E_ret_loss [kWh],E_angle_loss [kWh],E_axl_loss [kWh],E_brake [kWh],E_vehi_inertia [kWh],E_air [kWh],E_roll [kWh],E_grad [kWh],a [m/s^2],a_pos [m/s^2],a_neg [m/s^2],AccelerationTimeShare [%],DecelerationTimeShare [%],CruiseTimeShare [%],StopTimeShare [%],max. speed [km/h,max. acc [m/s²],max. dec [m/s²],n_eng_avg [rpm],n_eng_max [rpm],gear shifts [-],Engine max. Load time share [%],CoastingTimeShare [%],BrakingTImeShare [%],Gear 0 TimeShare [%],Gear 1 TimeShare [%],Gear 2 TimeShare [%],Gear 3 TimeShare [%],Gear 4 TimeShare [%],Gear 5 TimeShare [%],Gear 6 TimeShare [%],Gear 7 TimeShare [%],Gear 8 TimeShare [%],Gear 9 TimeShare [%],Gear 10 TimeShare [%],Gear 11 TimeShare [%],Gear 12 TimeShare [%]
+1-0,VEH-EURO6_2018_Class-9,LongHaul.vdri,Success,9,9300.0000,0.0000,16900.0000,325.0322,600.0000,1735.9223,12742.0000,6.6488,0.0061,AMT,14.9300,1.0000,2.6400,0.4922,TransmissionOutputRetarder,101.4000,4527.4009,100.1850,79.6629,-2.5494,18403.3074,231.0147,18403.3074,231.0147,18403.3074,231.0147,18403.3074,231.0147,18403.3074,231.0147,27.7662,,0.2738,730.0065,,7.1993,84.8862,96.5133,121.3763,1.5556,0.0000,0.7772,0.9055,0.4402,1.7607,2.1559,6.0394,0.0123,0.0000,0.0000,2.6275,1.9086,0.0000,4.5287,5.6319,0.0000,70.9485,28.2353,-0.1116,0.0000,-0.5014,-0.5014,3.8544,3.9531,90.7127,1.4799,86.0542,1.0000,1.0000,1170.8015,1663.7303,58.0000,2.9836,1.5300,1.9740,2.7930,0.0000,0.1342,0.1390,0.0242,0.0240,0.1454,0.5701,0.2038,0.6345,0.8329,1.9193,92.5796
+10-0,VEH-EURO6_2018_Class-4,LongHaul.vdri,Success,4,8200.0000,0.0000,15700.0000,325.0322,600.0000,1735.9223,12742.0000,6.5508,0.0061,AMT,14.9300,1.0000,2.6400,0.4922,TransmissionOutputRetarder,98.9000,4525.2556,100.1850,79.7007,-2.5494,17852.5385,223.9948,17852.5385,223.9948,17852.5385,223.9948,17852.5385,223.9948,17852.5385,223.9948,26.9224,,0.2722,707.8235,,7.1570,82.1359,93.4695,117.4926,1.4281,0.0000,0.7768,0.7668,0.4400,1.7598,2.1549,5.8983,0.0114,0.0000,0.0000,2.5051,1.9089,0.0000,4.3758,5.1021,0.0000,70.1254,26.2413,-0.1037,0.0000,-0.5172,-0.5172,3.7348,3.7918,90.9929,1.4806,85.2819,1.0000,1.0000,1168.7761,1667.4290,56.0000,2.4335,1.3404,2.0456,2.7269,0.0000,0.1342,0.1390,0.0121,0.1073,0.1455,0.4659,0.3438,0.2383,1.0271,1.5600,93.0998
+10-1,VEH-EURO6_2018_Class-4,LongHaul.vdri,Success,4,8200.0000,14000.0000,29700.0000,325.0322,600.0000,1735.9223,12742.0000,6.5508,0.0057,AMT,14.9300,1.0000,2.6400,0.4922,TransmissionOutputRetarder,98.9000,4562.7145,100.1850,79.0464,-2.5494,22130.9083,279.9738,22130.9083,279.9738,22130.9083,279.9738,22130.9083,279.9738,22130.9083,279.9738,33.6507,2.4036,0.3402,884.7171,63.1941,8.9456,103.8295,116.4890,147.6406,2.5546,0.0000,0.7833,0.7731,0.4436,1.7744,2.1727,5.9471,0.0210,0.0000,0.0000,3.4583,1.9048,0.0000,5.6172,12.2570,0.0000,69.5014,46.5753,-0.1961,0.0000,-0.3933,-0.3933,4.1838,4.8965,89.4513,1.4684,90.0000,1.0000,1.0000,1181.1923,1672.2187,64.0000,9.3167,2.6018,1.5009,2.9830,0.0000,0.1331,0.1279,0.0120,0.1429,0.2427,0.5043,0.3952,1.3012,1.9422,2.3488,89.8667
+10-2,VEH-EURO6_2018_Class-4,LongHaul.vdri,Success,4,8200.0000,20300.0000,36000.0000,325.0322,600.0000,1735.9223,12742.0000,6.5508,0.0056,AMT,14.9300,1.0000,2.6400,0.4922,TransmissionOutputRetarder,98.9000,4601.6319,100.1850,78.3778,-2.5494,23979.0752,305.9420,23979.0752,305.9420,23979.0752,305.9420,23979.0752,305.9420,23979.0752,305.9420,36.7719,1.8114,0.3718,966.7767,47.6245,9.7753,113.0230,126.3624,161.5204,3.1360,0.0000,0.7899,0.7797,0.4474,1.7895,2.1913,5.9978,0.0253,0.0000,0.0000,3.9533,1.9012,0.0000,6.1805,16.2343,0.0000,68.9504,55.3793,-0.2377,0.0000,-0.4061,-0.4061,5.8424,4.8909,87.8107,1.4560,90.0000,1.0000,1.0000,1184.3548,1672.4210,70.0000,15.5027,2.5205,1.5752,3.0777,0.0000,0.1320,0.1270,0.0239,0.1768,0.2453,0.5698,0.6833,2.1300,1.7407,3.9184,87.1750
+10-3,VEH-EURO6_2018_Class-4,RegionalDelivery.vdri,Success,4,8200.0000,0.0000,10300.0000,325.0322,600.0000,1735.9223,12742.0000,5.9508,0.0061,AMT,14.9300,1.0000,2.6400,0.4922,TransmissionOutputRetarder,49.4000,1569.5114,25.8360,59.2602,0.0101,10621.8586,179.2409,10621.8586,179.2409,10621.8586,179.2409,10621.8586,179.2409,10621.8586,179.2409,21.5434,,0.4361,566.4014,,11.4656,44.6740,52.7963,23.0179,1.0413,0.0000,0.2925,0.2485,0.0872,0.5668,0.6228,1.8178,0.0098,0.0000,0.0000,0.6341,0.4730,0.0000,0.8624,1.6672,0.0000,12.0989,4.4134,-0.0002,0.0000,-0.5954,-0.5954,10.8352,12.0777,69.8237,7.2634,87.4469,1.0000,1.0000,1010.5887,1803.3883,95.0000,1.1281,1.8345,6.8039,13.0541,0.0000,0.4837,0.5138,0.0000,0.7452,0.6085,1.2816,3.7083,4.0544,3.4008,5.8463,66.3033
+10-4,VEH-EURO6_2018_Class-4,RegionalDelivery.vdri,Success,4,8200.0000,4400.0000,14700.0000,325.0322,600.0000,1735.9223,12742.0000,5.9508,0.0059,AMT,14.9300,1.0000,2.6400,0.4922,TransmissionOutputRetarder,49.4000,1567.7745,25.8360,59.3259,0.0101,12078.1654,203.5902,12078.1654,203.5902,12078.1654,203.5902,12078.1654,203.5902,12078.1654,203.5902,24.4700,5.5614,0.4953,643.3449,146.2147,13.0232,52.9317,61.3471,26.7162,1.6325,0.0000,0.2922,0.2482,0.0871,0.5661,0.6221,1.8158,0.0138,0.0000,0.0000,0.7864,0.4733,0.0000,1.0421,2.7395,0.0000,12.1343,6.0786,-0.0003,0.0000,-0.5583,-0.5583,12.7597,13.0545,66.9143,7.2715,90.0000,1.0000,1.0000,1027.4763,1796.3627,100.0000,2.9966,2.2463,6.9735,13.5191,0.0000,0.4843,0.5148,0.0000,0.2434,0.6097,1.9112,3.0219,6.9067,4.0234,5.4600,63.3054
+10-5,VEH-EURO6_2018_Class-4,RegionalDelivery.vdri,Success,4,8200.0000,7700.0000,18000.0000,325.0322,600.0000,1735.9223,12742.0000,5.9508,0.0058,AMT,14.9300,1.0000,2.6400,0.4922,TransmissionOutputRetarder,49.4000,1566.8502,25.8360,59.3609,0.0101,13239.0223,223.0261,13239.0223,223.0261,13239.0223,223.0261,13239.0223,223.0261,13239.0223,223.0261,26.8060,3.4813,0.5426,704.7623,91.5276,14.2664,59.0956,67.9000,29.5526,2.0696,0.0000,0.2920,0.2481,0.0870,0.5658,0.6218,1.8147,0.0168,0.0000,0.0000,0.9182,0.4735,0.0000,1.1743,3.6306,0.0000,12.1612,7.2940,-0.0003,0.0000,-0.5342,-0.5342,13.5621,13.7687,65.3935,7.2757,90.0000,1.0000,1.0000,1045.9789,1794.9998,103.0000,5.7530,2.6636,7.0011,13.7053,0.0000,0.4846,0.5154,0.0000,0.4670,0.5782,2.0075,4.4513,5.4401,4.6240,8.3034,59.4233
+10-6,VEH-EURO6_2018_Class-4,MunicipalUtility.vdri,Success,4,8200.0000,0.0000,10300.0000,325.0322,600.0000,1735.9223,12742.0000,5.9508,0.0061,AMT,14.9300,1.0000,2.6400,0.4922,TransmissionOutputRetarder,49.4000,4537.3827,9.9620,7.9039,-0.0720,3344.5649,423.1516,3344.5649,423.1516,3344.5649,423.1516,3344.5649,423.1516,3344.5649,423.1516,50.8596,,1.0295,1337.1591,,27.0680,6.4592,11.7992,14.8715,1.3068,0.0000,0.7134,0.6428,0.3781,1.5125,1.8005,5.0473,0.1147,0.0000,0.0000,0.4532,0.1680,0.0000,0.3708,2.9878,0.0000,2.7229,1.7020,-0.0020,0.0000,-0.7234,-0.7234,8.4328,8.9106,12.3076,70.3489,85.8000,1.0000,1.0000,717.2105,1820.0798,431.0000,0.2726,1.0405,6.9634,78.7993,0.0000,1.9076,2.2403,0.5832,0.6984,3.8333,1.5281,1.3014,0.6253,1.8972,1.0700,5.5159
+10-7,VEH-EURO6_2018_Class-4,MunicipalUtility.vdri,Success,4,8200.0000,4400.0000,14700.0000,325.0322,600.0000,1735.9223,12742.0000,5.9508,0.0059,AMT,14.9300,1.0000,2.6400,0.4922,TransmissionOutputRetarder,49.4000,4537.2509,9.9620,7.9042,-0.0720,3688.3940,466.6390,3688.3940,466.6390,3688.3940,466.6390,3688.3940,466.6390,3688.3940,466.6390,56.0864,12.7469,1.1354,1474.5794,335.1317,29.8498,8.2559,13.7385,17.3153,1.4005,0.0000,0.7134,0.6428,0.3781,1.5124,1.8005,5.0472,0.1615,0.0000,0.0000,0.5454,0.1679,0.0000,0.4699,4.4658,0.0000,2.7157,2.3442,-0.0029,0.0000,-0.7232,-0.7232,8.4082,8.8738,12.3670,70.3510,85.8000,1.0000,1.0000,720.0634,1816.0545,431.0000,0.6200,1.3060,6.9894,78.8194,0.0000,1.9076,2.2533,0.4470,0.6545,4.0228,1.3439,1.4908,0.8035,1.8674,1.3627,5.0271
+10-8,VEH-EURO6_2018_Class-4,MunicipalUtility.vdri,Success,4,8200.0000,7700.0000,18000.0000,325.0322,600.0000,1735.9223,12742.0000,5.9508,0.0058,AMT,14.9300,1.0000,2.6400,0.4922,TransmissionOutputRetarder,49.4000,4534.9761,9.9620,7.9081,-0.0720,3955.7745,500.2159,3955.7745,500.2159,3955.7745,500.2159,3955.7745,500.2159,3955.7745,500.2159,60.1221,7.8081,1.2170,1580.6823,205.2834,31.9976,9.6160,15.2237,19.1776,1.4444,0.0000,0.7130,0.6425,0.3779,1.5117,1.7996,5.0446,0.1966,0.0000,0.0000,0.6174,0.1679,0.0000,0.5434,5.6386,0.0000,2.7152,2.8129,-0.0035,0.0000,-0.7341,-0.7341,8.5157,8.7547,12.3434,70.3863,85.8000,1.0000,1.0000,721.2992,1805.0707,428.0000,1.0986,1.3865,7.0216,78.7877,0.0000,1.9086,2.2339,0.4157,0.6225,4.1567,1.3859,1.2570,1.3783,1.6000,1.4046,4.8491
+1-1,VEH-EURO6_2018_Class-9,LongHaul.vdri,Success,9,9300.0000,19300.0000,36200.0000,325.0322,600.0000,1735.9223,12742.0000,6.6488,0.0057,AMT,14.9300,1.0000,2.6400,0.4922,TransmissionOutputRetarder,101.4000,4600.5048,100.1850,78.3970,-2.5494,24243.0830,309.2346,24243.0830,309.2346,24243.0830,309.2346,24243.0830,309.2346,24243.0830,309.2346,37.1676,1.9258,0.3665,977.1814,50.6312,9.6369,114.2640,127.8173,163.3401,3.1081,0.0000,0.7898,0.9201,0.4473,1.7891,2.1907,6.1369,0.0255,0.0000,0.0000,4.0536,1.9014,0.0000,6.2446,16.2319,0.0000,69.8327,56.0444,-0.2390,0.0000,-0.4072,-0.4072,5.4507,4.8631,88.2299,1.4564,90.0000,1.0000,1.0000,1188.1993,1672.2597,68.0000,15.4519,2.5434,1.5675,3.0379,0.0000,0.1320,0.1270,0.0119,0.1539,0.2688,0.5362,0.7772,2.1610,1.6739,4.8792,86.2411
+1-2,VEH-EURO6_2018_Class-9,LongHaul.vdri,Success,9,9300.0000,23100.0000,40000.0000,325.0322,600.0000,1735.9223,12742.0000,6.6488,0.0056,AMT,14.9300,1.0000,2.6400,0.4922,TransmissionOutputRetarder,101.4000,4621.2130,100.1850,78.0457,-2.5494,25359.0785,324.9258,25359.0785,324.9258,25359.0785,324.9258,25359.0785,324.9258,25359.0785,324.9258,39.0536,1.6906,0.3851,1026.7657,44.4487,10.1259,119.6699,133.6181,171.5216,3.3096,0.0000,0.7933,0.9242,0.4493,1.7971,2.2006,6.1646,0.0281,0.0000,0.0000,4.3454,1.8991,0.0000,6.5713,18.6689,0.0000,69.4864,61.3125,-0.2641,0.0000,-0.3915,-0.3915,5.4066,5.1886,87.9549,1.4498,90.0000,1.0000,1.0000,1191.8595,1785.9002,70.0000,19.1869,2.5320,1.5855,3.0975,0.0000,0.1314,0.1267,0.0119,0.1521,0.3120,0.5007,1.7062,1.4996,1.7765,5.7988,84.8868
+1-3,VEH-EURO6_2018_Class-9,RegionalDelivery.vdri,Success,9,9300.0000,0.0000,11500.0000,325.0322,600.0000,1735.9223,12742.0000,6.0488,0.0060,AMT,14.9300,1.0000,2.6400,0.4922,TransmissionOutputRetarder,51.9000,1569.1488,25.8360,59.2739,0.0101,11079.8982,186.9270,11079.8982,186.9270,11079.8982,186.9270,11079.8982,186.9270,11079.8982,186.9270,22.4672,,0.4329,590.6895,,11.3813,47.3012,55.5026,24.1922,1.1831,0.0000,0.2925,0.2572,0.0872,0.5666,0.6227,1.8261,0.0110,0.0000,0.0000,0.6781,0.4731,0.0000,0.9183,1.9304,0.0000,12.2899,4.8823,-0.0002,0.0000,-0.5809,-0.5809,11.3218,12.3803,69.0328,7.2651,88.5917,1.0000,1.0000,1011.0477,1801.0289,96.0000,1.5423,1.9867,6.8270,13.1022,0.0000,0.4839,0.5141,0.0000,0.7807,0.5743,1.3791,3.0302,4.7227,4.4895,5.1152,65.8080
+1-4,VEH-EURO6_2018_Class-9,RegionalDelivery.vdri,Success,9,9300.0000,7100.0000,18600.0000,325.0322,600.0000,1735.9223,12742.0000,6.0488,0.0058,AMT,14.9300,1.0000,2.6400,0.4922,TransmissionOutputRetarder,51.9000,1567.7990,25.8360,59.3250,0.0101,13534.7848,228.1466,13534.7848,228.1466,13534.7848,228.1466,13534.7848,228.1466,13534.7848,228.1466,27.4215,3.8622,0.5284,720.9432,101.5413,13.8910,60.5771,69.4804,30.2587,2.1196,0.0000,0.2922,0.2569,0.0871,0.5661,0.6221,1.8246,0.0175,0.0000,0.0000,0.9431,0.4735,0.0000,1.2045,3.8079,0.0000,12.3424,7.5260,-0.0003,0.0000,-0.5294,-0.5294,13.6499,13.9166,65.1622,7.2713,90.0000,1.0000,1.0000,1046.3324,1793.7509,103.0000,6.8283,2.7183,7.0522,13.7002,0.0000,0.4843,0.5151,0.0000,0.4665,0.5778,2.0064,4.4485,6.1173,3.6098,8.5515,59.5226
+1-5,VEH-EURO6_2018_Class-9,RegionalDelivery.vdri,Success,9,9300.0000,14500.0000,26000.0000,325.0322,600.0000,1735.9223,12742.0000,6.0488,0.0056,AMT,14.9300,1.0000,2.6400,0.4922,TransmissionOutputRetarder,51.9000,1574.2598,25.8360,59.0815,0.0101,16040.5960,271.4996,16040.5960,271.4996,16040.5960,271.4996,16040.5960,271.4996,16040.5960,271.4996,32.6322,2.2505,0.6288,857.9386,59.1682,16.5306,73.2838,82.9756,36.2848,2.7732,0.0000,0.2934,0.2580,0.0875,0.5685,0.6247,1.8321,0.0242,0.0000,0.0000,1.1731,0.4732,0.0000,1.4714,6.0593,0.0000,12.3051,10.1736,-0.0005,0.0000,-0.4675,-0.4675,16.3487,16.5123,59.8976,7.2415,90.0000,1.0000,1.0000,1071.4149,1837.4899,105.0000,17.7787,3.2153,6.6879,13.8283,0.0000,0.4823,0.5132,0.0000,0.7933,0.5825,2.3106,5.4313,5.2664,6.2329,7.6484,56.9106
+1-6,VEH-EURO6_2018_Class-9,MunicipalUtility.vdri,Success,9,9300.0000,0.0000,11500.0000,325.0322,600.0000,1735.9223,12742.0000,6.0488,0.0060,AMT,14.9300,1.0000,2.6400,0.4922,TransmissionOutputRetarder,51.9000,4539.2139,9.9620,7.9008,-0.0720,3449.0838,436.5514,3449.0838,436.5514,3449.0838,436.5514,3449.0838,436.5514,3449.0838,436.5514,52.4701,,1.0110,1379.5024,,26.5800,6.9991,12.3952,15.6290,1.3616,0.0000,0.7137,0.6431,0.3783,1.5131,1.8013,5.0493,0.1287,0.0000,0.0000,0.4826,0.1680,0.0000,0.4009,3.3996,0.0000,2.7577,1.8829,-0.0022,0.0000,-0.7139,-0.7139,8.4522,9.0047,12.2225,70.3205,85.8000,1.0000,1.0000,719.1162,1820.0798,436.0000,0.3480,1.1838,6.9481,78.9076,0.0000,1.9068,2.2644,0.6153,0.5954,3.9076,1.4192,1.3233,0.8009,1.7600,1.0372,5.4625
+1-7,VEH-EURO6_2018_Class-9,MunicipalUtility.vdri,Success,9,9300.0000,7100.0000,18600.0000,325.0322,600.0000,1735.9223,12742.0000,6.0488,0.0058,AMT,14.9300,1.0000,2.6400,0.4922,TransmissionOutputRetarder,51.9000,4535.3006,9.9620,7.9076,-0.0720,4016.7239,507.9594,4016.7239,507.9594,4016.7239,507.9594,4016.7239,507.9594,4016.7239,507.9594,61.0528,8.5990,1.1764,1605.1518,226.0777,30.9278,9.9082,15.5487,19.5883,1.5378,0.0000,0.7131,0.6425,0.3779,1.5118,1.7997,5.0450,0.2043,0.0000,0.0000,0.6390,0.1679,0.0000,0.5626,5.7848,0.0000,2.7483,2.9024,-0.0036,0.0000,-0.7334,-0.7334,8.4170,8.7305,12.4713,70.3812,85.8000,1.0000,1.0000,724.7684,1803.1236,424.0000,1.1743,1.4802,6.9632,78.7164,0.0000,1.9084,2.2337,0.4156,0.5865,4.1851,1.4309,1.2153,1.4230,2.0358,1.3962,4.4530
+1-8,VEH-EURO6_2018_Class-9,MunicipalUtility.vdri,Success,9,9300.0000,14500.0000,26000.0000,325.0322,600.0000,1735.9223,12742.0000,6.0488,0.0056,AMT,14.9300,1.0000,2.6400,0.4922,TransmissionOutputRetarder,51.9000,4544.7774,9.9620,7.8911,-0.0720,4591.0485,581.8023,4591.0485,581.8023,4591.0485,581.8023,4591.0485,581.8023,4591.0485,581.8023,69.9282,4.8226,1.3474,1838.4954,126.7928,35.4238,12.6108,18.6272,23.5157,1.7270,0.0000,0.7145,0.6438,0.3787,1.5149,1.8035,5.0555,0.2828,0.0000,0.0000,0.8133,0.1675,0.0000,0.7105,8.1464,0.0000,2.6943,3.9235,-0.0051,0.0000,-0.7284,-0.7284,8.6292,8.6532,12.4831,70.2345,85.8000,1.0000,1.0000,737.0733,1765.9892,428.0000,2.3933,1.7441,6.9650,78.6062,0.0000,1.9045,2.2815,0.4456,1.1289,4.0371,1.0694,1.4029,1.8575,1.7785,1.8616,3.6265
+2-0,VEH-EURO6_2018_Class-11,LongHaul.vdri,Success,11,10100.0000,0.0000,17700.0000,350.1416,600.0000,1735.5856,12777.0000,8.6784,0.0071,AMT,14.9300,1.0000,3.5000,0.5223,None,101.4000,4521.6982,100.1850,79.7634,-2.5494,23350.4117,292.7460,23350.4117,292.7460,23350.4117,292.7460,23350.4117,292.7460,23350.4117,292.7460,35.1858,,0.3470,925.0772,,9.1230,104.1355,121.7328,152.8997,1.8831,0.0081,0.7762,0.9043,0.4396,1.7584,2.1532,6.0318,0.0148,0.0000,0.0000,3.2191,0.0000,0.0000,13.1192,5.3495,0.0000,89.0973,34.2936,-0.1169,0.0000,-0.5762,-0.5762,3.7900,3.4062,91.3221,1.4817,85.0000,1.0000,1.0000,1455.0623,1820.5302,55.0000,2.2568,0.6252,2.3964,2.6777,0.0000,0.0000,0.1343,0.1513,0.0727,0.2657,0.1608,0.3692,0.4706,0.5338,1.0553,94.1087
+2-1,VEH-EURO6_2018_Class-11,LongHaul.vdri,Success,11,10100.0000,19300.0000,37000.0000,350.1416,600.0000,1735.5856,12777.0000,8.6784,0.0066,AMT,14.9300,1.0000,3.5000,0.5223,None,101.4000,4580.9899,100.1850,78.7310,-2.5494,30016.4756,381.2535,30016.4756,381.2535,30016.4756,381.2535,30016.4756,381.2535,30016.4756,381.2535,45.8237,2.3743,0.4519,1204.7610,62.4229,11.8813,136.1154,157.7370,200.7198,3.5960,0.0000,0.7864,0.9162,0.4454,1.7815,2.1814,6.1109,0.0299,0.0000,0.0000,4.6931,0.0000,0.0000,17.4979,14.5975,0.0000,87.8473,66.5916,-0.2443,0.0000,-0.4042,-0.4042,4.1273,4.7128,89.6973,1.4626,90.0000,1.0000,1.0000,1462.5265,1827.5514,62.0000,12.1242,2.3823,1.5399,2.9115,0.0000,0.0000,0.1326,0.1395,0.1426,0.2183,0.2151,0.4504,1.6126,1.7203,2.9610,89.4962
+2-10,VEH-EURO6_2018_Class-11,Construction.vdri,Success,11,10100.0000,7100.0000,19400.0000,350.1416,600.0000,1735.5856,12777.0000,8.0784,0.0072,AMT,14.9300,1.0000,3.5000,0.5223,None,0.0000,2436.2665,21.2190,31.3547,-0.1940,11528.0973,367.6673,11528.0973,367.6673,11528.0973,367.6673,11528.0973,367.6673,11528.0973,367.6673,44.1908,6.2241,,1161.8287,163.6378,,45.2949,57.5402,38.9398,3.5637,0.0000,0.7018,0.5211,0.1353,0.8798,0.9668,3.2048,0.1014,0.0000,0.0000,1.4073,0.0000,0.0000,3.3147,11.5333,0.0000,7.7431,8.0745,-0.0031,0.0000,-0.6639,-0.6639,20.9881,21.1961,31.1356,26.6802,85.3006,1.0000,1.0000,993.7067,1827.4505,307.0000,5.2634,8.0061,12.4389,39.2963,0.0000,0.0000,1.5807,1.3289,0.9380,2.1119,2.3155,2.4200,6.8312,3.9697,6.5328,32.6751
+2-11,VEH-EURO6_2018_Class-11,Construction.vdri,Success,11,10100.0000,13700.0000,26000.0000,350.1416,600.0000,1735.5856,12777.0000,8.0784,0.0070,AMT,14.9300,1.0000,3.5000,0.5223,None,0.0000,2445.5001,21.2190,31.2363,-0.1940,14095.7397,451.2614,14095.7397,451.2614,14095.7397,451.2614,14095.7397,451.2614,14095.7397,451.2614,54.2381,3.9590,,1425.9859,104.0866,,57.0802,71.2759,48.4181,3.8984,0.0000,0.7044,0.5231,0.1359,0.8831,0.9704,3.2169,0.1346,0.0000,0.0000,1.8248,0.0000,0.0000,4.1414,17.0948,0.0000,7.6021,10.5092,-0.0041,0.0000,-0.6635,-0.6635,22.0634,20.7384,30.6188,26.5794,87.0000,1.0000,1.0000,1020.8081,1827.6920,310.0000,10.6250,8.1690,12.5576,39.2361,0.0000,0.0000,1.5748,1.3244,0.9925,2.5107,2.3296,3.0872,7.7698,6.5293,5.2164,29.4293
+2-3,VEH-EURO6_2018_Class-11,RegionalDelivery.vdri,Success,11,10100.0000,0.0000,12300.0000,350.1416,600.0000,1735.5856,12777.0000,8.0784,0.0075,AMT,14.9300,1.0000,3.5000,0.5223,None,51.9000,1569.0779,25.8360,59.2766,0.0101,14433.8152,243.4994,14433.8152,243.4994,14433.8152,243.4994,14433.8152,243.4994,14433.8152,243.4994,29.2668,,0.5639,769.4581,,14.8258,59.5399,71.6399,31.2246,1.3361,0.0000,0.2925,0.2572,0.0872,0.5666,0.6226,1.8260,0.0136,0.0000,0.0000,0.8357,0.0000,0.0000,2.6884,1.9000,0.0000,16.0998,6.5252,-0.0002,0.0000,-0.6150,-0.6150,10.6268,11.7849,70.3229,7.2654,85.5828,1.0000,1.0000,1240.5319,1833.8764,88.0000,0.9336,1.7599,6.7588,12.6192,0.0000,0.0000,0.4839,0.5488,0.4195,0.5309,0.4602,1.8806,6.5808,3.6133,3.5140,69.3488
+2-4,VEH-EURO6_2018_Class-11,RegionalDelivery.vdri,Success,11,10100.0000,7100.0000,19400.0000,350.1416,600.0000,1735.5856,12777.0000,8.0784,0.0072,AMT,14.9300,1.0000,3.5000,0.5223,None,51.9000,1569.6726,25.8360,59.2541,0.0101,17252.8888,291.1677,17252.8888,291.1677,17252.8888,291.1677,17252.8888,291.1677,17252.8888,291.1677,34.9961,4.9290,0.6743,920.0898,129.5901,17.7281,73.4264,87.2754,38.0538,2.3131,0.0000,0.2926,0.2573,0.0872,0.5668,0.6229,1.8267,0.0211,0.0000,0.0000,1.1251,0.0000,0.0000,3.3882,3.4209,0.0000,16.1257,9.8333,-0.0003,0.0000,-0.5598,-0.5598,12.5241,13.1677,67.0455,7.2627,90.0000,1.0000,1.0000,1265.2170,1827.7942,98.0000,4.6474,2.1708,6.9330,13.3690,0.0000,0.0000,0.4837,0.5491,0.3000,0.6784,0.5526,2.5492,5.6201,4.4612,8.9518,62.4850
+2-5,VEH-EURO6_2018_Class-11,RegionalDelivery.vdri,Success,11,10100.0000,13700.0000,26000.0000,350.1416,600.0000,1735.5856,12777.0000,8.0784,0.0070,AMT,14.9300,1.0000,3.5000,0.5223,None,51.9000,1573.6583,25.8360,59.1041,0.0101,19943.0338,337.4224,19943.0338,337.4224,19943.0338,337.4224,19943.0338,337.4224,19943.0338,337.4224,40.5556,2.9603,0.7814,1066.2547,77.8288,20.5444,86.5199,102.0625,44.6143,3.1254,0.0000,0.2933,0.2579,0.0874,0.5683,0.6245,1.8314,0.0280,0.0000,0.0000,1.3732,0.0000,0.0000,4.0402,5.3199,0.0000,16.0983,12.7983,-0.0005,0.0000,-0.5345,-0.5345,15.3982,13.9276,63.4300,7.2443,90.0000,1.0000,1.0000,1283.8388,1834.0827,106.0000,13.9434,2.0522,7.0190,13.9485,0.0000,0.0000,0.4825,0.5131,0.2994,0.7982,0.8348,2.6678,6.8493,4.2617,8.8022,60.5425
+2-6,VEH-EURO6_2018_Class-11,MunicipalUtility.vdri,Success,11,10100.0000,0.0000,12300.0000,350.1416,600.0000,1735.5856,12777.0000,8.0784,0.0075,AMT,14.9300,1.0000,3.5000,0.5223,None,51.9000,4536.6880,9.9620,7.9052,-0.0720,3992.0453,504.9930,3992.0453,504.9930,3992.0453,504.9930,3992.0453,504.9930,3992.0453,504.9930,60.6963,,1.1695,1595.7778,,30.7472,8.4330,14.3942,18.1394,1.5024,0.0000,0.7133,0.6427,0.3781,1.5122,1.8003,5.0465,0.1592,0.0000,0.0000,0.5531,0.0000,0.0000,1.1270,3.5972,0.0000,3.6400,2.5164,-0.0024,0.0000,-0.7171,-0.7171,8.6683,9.0733,11.8987,70.3597,85.8000,1.0000,1.0000,739.3502,1828.9000,444.0000,0.2719,0.7088,7.0764,79.0228,0.0000,0.0000,1.9079,2.2095,1.0174,1.2722,2.9407,1.2688,2.0070,0.7618,1.3616,6.2305
+2-7,VEH-EURO6_2018_Class-11,MunicipalUtility.vdri,Success,11,10100.0000,7100.0000,19400.0000,350.1416,600.0000,1735.5856,12777.0000,8.0784,0.0072,AMT,14.9300,1.0000,3.5000,0.5223,None,51.9000,4541.1759,9.9620,7.8973,-0.0720,4611.7312,583.9602,4611.7312,583.9602,4611.7312,583.9602,4611.7312,583.9602,4611.7312,583.9602,70.1875,9.8856,1.3524,1845.3143,259.9034,35.5552,11.3545,17.8775,22.5513,1.7656,0.0000,0.7140,0.6433,0.3784,1.5137,1.8021,5.0515,0.2460,0.0000,0.0000,0.7285,0.0000,0.0000,1.5080,5.8632,0.0000,3.6000,3.7922,-0.0038,0.0000,-0.7142,-0.7142,8.6303,8.9921,12.0875,70.2902,85.8000,1.0000,1.0000,745.0337,1824.9595,457.0000,0.7160,1.2361,6.9745,79.2275,0.0000,0.0000,1.9060,2.2925,1.2438,1.6413,2.6382,1.1745,1.9124,0.7957,1.1927,5.9754
+2-8,VEH-EURO6_2018_Class-11,MunicipalUtility.vdri,Success,11,10100.0000,13700.0000,26000.0000,350.1416,600.0000,1735.5856,12777.0000,8.0784,0.0070,AMT,14.9300,1.0000,3.5000,0.5223,None,51.9000,4539.7042,9.9620,7.8999,-0.0720,5229.3529,661.9520,5229.3529,661.9520,5229.3529,661.9520,5229.3529,661.9520,5229.3529,661.9520,79.5615,5.8074,1.5330,2091.7682,152.6838,40.3038,14.1512,21.1814,26.7104,1.9238,0.0000,0.7137,0.6431,0.3783,1.5132,1.8015,5.0499,0.3266,0.0000,0.0000,0.9010,0.0000,0.0000,1.8681,8.1233,0.0000,3.5872,4.9357,-0.0051,0.0000,-0.7205,-0.7205,8.8772,8.8524,11.9574,70.3130,85.8000,1.0000,1.0000,752.3618,1834.2624,451.0000,2.1378,1.3190,6.9938,79.0952,0.0000,0.0000,1.9066,2.2931,1.2379,1.8038,2.8725,1.1969,1.7670,0.9401,1.7750,5.1119
+2-9,VEH-EURO6_2018_Class-11,Construction.vdri,Success,11,10100.0000,0.0000,12300.0000,350.1416,600.0000,1735.5856,12777.0000,8.0784,0.0075,AMT,14.9300,1.0000,3.5000,0.5223,None,0.0000,2428.0543,21.2190,31.4607,-0.1940,8948.3799,284.4300,8948.3799,284.4300,8948.3799,284.4300,8948.3799,284.4300,8948.3799,284.4300,34.1863,,,898.7988,,,33.2130,43.4446,29.3017,2.7965,0.0000,0.6994,0.5193,0.1349,0.8768,0.9635,3.1940,0.0655,0.0000,0.0000,0.9679,0.0000,0.0000,2.4365,6.6313,0.0000,7.8538,5.3581,-0.0019,0.0000,-0.7110,-0.7110,19.5272,19.9778,33.7246,26.7704,82.0000,1.0000,1.0000,938.4102,1763.2557,299.0000,1.7291,5.1856,12.8921,38.8895,0.0000,0.0000,1.5859,1.3097,0.9234,1.7252,1.9668,1.7686,5.7530,3.3952,4.6932,37.9895
+3-0,VEH-EURO6_2018_Class-16,Construction.vdri,Success,16,11300.0000,0.0000,11300.0000,325.0322,600.0000,1735.9223,12419.0000,8.9100,0.0076,AMT,14.9300,1.0000,3.5000,0.5223,None,0.0000,2425.7702,21.2190,31.4904,-0.1940,8659.6747,274.9944,8659.6747,274.9944,8659.6747,274.9944,8659.6747,274.9944,8659.6747,274.9944,33.0522,,,868.9822,,,32.3521,42.4196,28.5834,2.5395,0.0000,0.6988,0.5188,0.1348,0.8760,0.9626,3.1909,0.0610,0.0000,0.0000,0.9425,0.0000,0.0000,2.3555,5.9288,0.0000,8.6208,4.9460,-0.0018,0.0000,-0.6953,-0.6953,19.5444,20.3363,33.3237,26.7956,82.0000,1.0000,1.0000,942.1781,1762.2883,295.0000,1.8333,5.0089,12.7893,38.8043,0.0000,0.0000,1.5877,1.3108,0.8493,1.5318,2.1677,1.7095,5.9584,3.3991,5.2859,37.3957
+3-2,VEH-EURO6_2018_Class-16,Construction.vdri,Success,16,11300.0000,20700.0000,32000.0000,325.0322,600.0000,1735.9223,12419.0000,8.9100,0.0068,AMT,14.9300,1.0000,3.5000,0.5223,None,0.0000,2484.8900,21.2190,30.7412,-0.1940,16104.7995,523.8839,16104.7995,523.8839,16104.7995,523.8839,16104.7995,523.8839,16104.7995,523.8839,62.9668,3.0419,,1655.4732,79.9746,,66.4191,82.1471,56.7018,3.9530,0.0000,0.7158,0.5315,0.1380,0.8973,0.9861,3.2687,0.1524,0.0000,0.0000,2.1949,0.0000,0.0000,4.8393,21.6407,0.0000,8.0361,12.6217,-0.0050,0.0000,-0.6498,-0.6498,23.4374,20.5133,29.8913,26.1581,87.0000,1.0000,1.0000,1069.2197,1832.5125,314.0000,18.7803,8.2095,12.2977,38.7169,0.0000,0.1833,1.3679,1.5225,1.5743,2.1558,2.7786,4.1707,9.2482,6.1355,7.9693,24.1770
+4-0,VEH-EURO6_2018_Class-5,LongHaul.vdri,Success,5,8229.2000,0.0000,15729.2000,325.0322,600.0000,1735.9223,12740.0000,5.4537,0.0062,AMT,14.9300,1.0000,2.6400,0.4922,TransmissionOutputRetarder,91.0000,4525.1519,100.1850,79.7025,-2.5494,15963.7077,200.2911,15963.7077,200.2911,15963.7077,200.2911,15963.7077,200.2911,15963.7077,200.2911,24.0735,,0.2645,632.9200,,6.9552,72.0495,82.7763,104.0487,1.6719,0.0000,0.7768,0.9050,0.4399,1.7598,2.1548,6.0364,0.0115,0.0000,0.0000,2.2501,1.9090,0.0000,3.8609,5.3732,0.0000,56.3704,26.6692,-0.1039,0.0000,-0.5043,-0.5043,3.6465,3.8316,91.0412,1.4806,87.0044,1.0000,1.0000,1168.3460,1660.3635,56.0000,2.2501,1.7316,1.9653,2.7735,0.0000,0.1342,0.1390,0.0121,0.0000,0.2168,0.4660,0.3440,0.2384,1.0272,1.3530,93.2957
+4-1,VEH-EURO6_2018_Class-5,LongHaul.vdri,Success,5,8229.2000,19300.0000,35029.2000,325.0322,600.0000,1735.9223,12740.0000,5.4537,0.0057,AMT,14.9300,1.0000,2.6400,0.4922,TransmissionOutputRetarder,91.0000,4585.5906,100.1850,78.6520,-2.5494,22013.7753,279.8882,22013.7753,279.8882,22013.7753,279.8882,22013.7753,279.8882,22013.7753,279.8882,33.6404,1.7430,0.3697,884.4467,45.8263,9.7192,102.9804,115.6507,147.3130,3.3559,0.0000,0.7872,0.9171,0.4458,1.7833,2.1836,6.1170,0.0247,0.0000,0.0000,3.6042,1.9030,0.0000,5.6398,16.4420,0.0000,55.6346,54.8228,-0.2313,0.0000,-0.4230,-0.4230,4.8630,4.5122,89.1637,1.4611,90.0000,1.0000,1.0000,1183.5737,1667.5901,66.0000,13.2770,2.5635,1.5844,3.0082,0.0000,0.1325,0.1274,0.0120,0.1542,0.2589,0.5375,0.3591,2.3306,1.6686,3.0311,88.3799
+4-2,VEH-EURO6_2018_Class-5,LongHaul.vdri,Success,5,8229.2000,24270.8000,40000.0000,325.0322,600.0000,1735.9223,12740.0000,5.4537,0.0057,AMT,14.9300,1.0000,2.6400,0.4922,TransmissionOutputRetarder,91.0000,4610.2087,100.1850,78.2320,-2.5494,23529.3614,300.7638,23529.3614,300.7638,23529.3614,300.7638,23529.3614,300.7638,23529.3614,300.7638,36.1495,1.4894,0.3972,950.4135,39.1587,10.4441,110.3861,123.6263,158.3175,3.6301,0.0000,0.7914,0.9220,0.4482,1.7929,2.1953,6.1499,0.0281,0.0000,0.0000,4.0445,1.9008,0.0000,6.0786,19.6149,0.0000,55.3575,61.7772,-0.2641,0.0000,-0.3900,-0.3900,5.1306,5.2162,88.1999,1.4533,90.0000,1.0000,1.0000,1192.8044,1784.5321,67.0000,16.9110,2.5376,1.6151,3.0301,0.0000,0.1317,0.1270,0.0119,0.1645,0.3121,0.5363,1.5367,1.7595,1.5920,5.0282,85.7700
+4-3,VEH-EURO6_2018_Class-5,RegionalDelivery.vdri,Success,5,8229.2000,0.0000,15729.2000,325.0322,600.0000,1735.9223,12740.0000,5.4537,0.0062,AMT,14.9300,1.0000,2.6400,0.4922,TransmissionOutputRetarder,91.0000,1568.4432,25.8360,59.3006,0.0101,12630.8077,212.9963,12630.8077,212.9963,12630.8077,212.9963,12630.8077,212.9963,12630.8077,212.9963,25.6005,,0.2813,673.0684,,7.3964,55.7518,64.4714,28.0888,1.8242,0.0000,0.2923,0.2919,0.0871,0.5664,0.6224,1.8602,0.0152,0.0000,0.0000,0.8386,0.4733,0.0000,1.1029,3.0291,0.0000,12.1016,6.8440,-0.0003,0.0000,-0.5536,-0.5536,12.7859,13.1267,66.8191,7.2684,90.0000,1.0000,1.0000,1038.6691,1791.5031,96.0000,3.5065,2.6418,6.7241,13.1296,0.0000,0.4841,0.5147,0.0349,0.3473,0.5404,2.0428,4.1346,7.1428,3.6550,5.9948,61.9790
+4-4,VEH-EURO6_2018_Class-5,RegionalDelivery.vdri,Success,5,8229.2000,12900.0000,28629.2000,325.0322,600.0000,1735.9223,12740.0000,5.4537,0.0058,AMT,14.9300,1.0000,2.6400,0.4922,TransmissionOutputRetarder,91.0000,1578.4625,25.8360,58.9242,0.0101,17084.1158,289.9339,17084.1158,289.9339,17084.1158,289.9339,17084.1158,289.9339,17084.1158,289.9339,34.8478,2.7014,0.3829,916.1911,71.0226,10.0680,78.3629,88.5134,38.8097,2.8886,0.0000,0.2942,0.2938,0.0877,0.5700,0.6264,1.8720,0.0270,0.0000,0.0000,1.2775,0.4728,0.0000,1.5736,6.9328,0.0000,12.0333,11.7328,-0.0005,0.0000,-0.4497,-0.4497,17.2219,17.1473,58.4086,7.2222,90.0000,1.0000,1.0000,1073.4651,1835.4643,110.0000,22.2152,3.5778,6.4993,14.1162,0.0000,0.4810,0.5119,0.0000,0.8828,0.5851,2.1974,5.0145,5.4914,6.3365,9.2370,55.1462
+4-5,VEH-EURO6_2018_Class-5,RegionalDelivery.vdri,Success,5,8229.2000,24270.8000,40000.0000,325.0322,600.0000,1735.9223,12740.0000,5.4537,0.0056,AMT,14.9300,1.0000,2.6400,0.4922,TransmissionOutputRetarder,91.0000,1601.9366,25.8360,58.0607,0.0101,20601.8423,354.8327,20601.8423,354.8327,20601.8423,354.8327,20601.8423,354.8327,20601.8423,354.8327,42.6482,1.7572,0.4687,1121.2712,46.1984,12.3217,95.5758,107.2431,47.7213,3.2700,0.0000,0.2986,0.2981,0.0890,0.5785,0.6357,1.8999,0.0373,0.0000,0.0000,1.6930,0.4708,0.0000,1.9317,10.7771,0.0000,11.7887,15.8535,-0.0007,0.0000,-0.4018,-0.4018,22.0638,19.6112,51.2086,7.1164,90.0000,1.0000,1.0000,1111.3924,1807.1080,106.0000,34.0642,4.2300,6.1074,13.7291,0.0000,0.4740,0.5056,0.1512,0.8312,1.0651,2.9032,5.9018,7.0050,5.5456,15.4819,46.4063
+5-0,VEH-EURO6_2018_Class-10,LongHaul.vdri,Success,10,9010.0000,0.0000,16510.0000,350.1416,600.0000,1735.5856,12809.0000,5.5517,0.0061,AMT,14.9300,1.0000,2.6400,0.4922,TransmissionOutputRetarder,91.0000,4523.4363,100.1850,79.7327,-2.5494,16416.3137,205.8917,16416.3137,205.8917,16416.3137,205.8917,16416.3137,205.8917,16416.3137,205.8917,24.7466,,0.2719,650.6179,,7.1496,73.8265,84.5311,106.2142,1.8579,0.0000,0.7765,0.7162,0.4398,1.7591,2.1540,5.8456,0.0121,0.0000,0.0000,2.2877,1.9092,0.0000,3.9598,5.7297,0.0000,57.2678,27.4533,-0.1090,0.0000,-0.5052,-0.5052,3.5902,3.7790,91.1496,1.4812,87.3163,1.0000,1.0000,1167.2927,1657.2670,55.0000,2.1119,1.7833,1.9821,2.7367,0.0000,0.1343,0.1391,0.0242,0.0359,0.1692,0.5009,0.2865,0.3416,0.8902,0.8898,93.8514
+5-1,VEH-EURO6_2018_Class-10,LongHaul.vdri,Success,10,9010.0000,19300.0000,35810.0000,350.1416,600.0000,1735.5856,12809.0000,5.5517,0.0056,AMT,14.9300,1.0000,2.6400,0.4922,TransmissionOutputRetarder,91.0000,4570.1486,100.1850,78.9178,-2.5494,22435.4553,284.2890,22435.4553,284.2890,22435.4553,284.2890,22435.4553,284.2890,22435.4553,284.2890,34.1693,1.7704,0.3755,898.3531,46.5468,9.8720,104.9100,117.5545,149.2337,3.6361,0.0000,0.7845,0.7236,0.4443,1.7773,2.1763,5.9060,0.0253,0.0000,0.0000,3.6151,1.9046,0.0000,5.7343,16.8560,0.0000,56.6832,55.1095,-0.2364,0.0000,-0.4205,-0.4205,4.3552,4.5110,89.6677,1.4660,90.0000,1.0000,1.0000,1183.0837,1675.0624,64.0000,10.9756,2.5489,1.6030,2.9650,0.0000,0.1329,0.1277,0.0360,0.1547,0.1693,0.6183,0.2690,2.1569,1.5388,2.4352,89.3961
+5-2,VEH-EURO6_2018_Class-10,LongHaul.vdri,Success,10,9010.0000,23490.0000,40000.0000,350.1416,600.0000,1735.5856,12809.0000,5.5517,0.0056,AMT,14.9300,1.0000,2.6400,0.4922,TransmissionOutputRetarder,91.0000,4596.0002,100.1850,78.4739,-2.5494,23661.6614,301.5227,23661.6614,301.5227,23661.6614,301.5227,23661.6614,301.5227,23661.6614,301.5227,36.2407,1.5428,0.3982,952.8119,40.5624,10.4705,110.9678,124.0246,158.3381,3.8721,0.0000,0.7890,0.7277,0.4468,1.7873,2.1886,5.9394,0.0282,0.0000,0.0000,3.9237,1.9024,0.0000,6.0999,19.5497,0.0000,56.4066,60.8803,-0.2641,0.0000,-0.4055,-0.4055,5.2864,4.8908,88.3650,1.4578,90.0000,1.0000,1.0000,1185.7640,1675.1497,67.0000,14.2410,2.5275,1.6358,3.0540,0.0000,0.1322,0.1272,0.0119,0.1523,0.3163,0.5022,0.8186,2.1308,1.6320,3.2319,87.8905
+5-3,VEH-EURO6_2018_Class-10,RegionalDelivery.vdri,Success,10,9010.0000,0.0000,16510.0000,350.1416,600.0000,1735.5856,12809.0000,5.5517,0.0061,AMT,14.9300,1.0000,2.6400,0.4922,TransmissionOutputRetarder,91.0000,1567.7297,25.8360,59.3276,0.0101,13037.1853,219.7492,13037.1853,219.7492,13037.1853,219.7492,13037.1853,219.7492,13037.1853,219.7492,26.4122,,0.2902,694.4074,,7.6309,57.5563,66.2861,28.8663,1.9864,0.0000,0.2922,0.2482,0.0871,0.5661,0.6221,1.8158,0.0160,0.0000,0.0000,0.8604,0.4734,0.0000,1.1419,3.2287,0.0000,12.2919,7.0520,-0.0003,0.0000,-0.5481,-0.5481,12.7282,13.2203,66.7798,7.2717,90.0000,1.0000,1.0000,1033.4114,1734.2775,97.0000,3.1876,2.5893,6.9190,13.2178,0.0000,0.4843,0.5150,0.0350,0.3475,0.5407,2.0127,3.6945,7.0655,3.3600,6.6398,62.0873
+5-4,VEH-EURO6_2018_Class-10,RegionalDelivery.vdri,Success,10,9010.0000,12900.0000,29410.0000,350.1416,600.0000,1735.5856,12809.0000,5.5517,0.0057,AMT,14.9300,1.0000,2.6400,0.4922,TransmissionOutputRetarder,91.0000,1575.3730,25.8360,59.0397,0.0101,17516.1178,296.6836,17516.1178,296.6836,17516.1178,296.6836,17516.1178,296.6836,17516.1178,296.6836,35.6591,2.7643,0.3919,937.5200,72.6760,10.3024,80.4506,90.6080,39.6504,3.1179,0.0000,0.2936,0.2494,0.0875,0.5689,0.6251,1.8246,0.0278,0.0000,0.0000,1.2846,0.4732,0.0000,1.6177,7.1860,0.0000,12.2619,11.8573,-0.0005,0.0000,-0.4568,-0.4568,16.8138,16.8465,59.1033,7.2364,90.0000,1.0000,1.0000,1073.5022,1835.5437,107.0000,19.6188,3.5314,6.5895,13.9950,0.0000,0.4819,0.5129,0.0000,0.7808,0.6204,2.2441,5.1929,5.4430,6.0596,8.2108,56.4586
+5-5,VEH-EURO6_2018_Class-10,RegionalDelivery.vdri,Success,10,9010.0000,23490.0000,40000.0000,350.1416,600.0000,1735.5856,12809.0000,5.5517,0.0056,AMT,14.9300,1.0000,2.6400,0.4922,TransmissionOutputRetarder,91.0000,1593.2885,25.8360,58.3759,0.0101,20947.9458,358.8460,20947.9458,358.8460,20947.9458,358.8460,20947.9458,358.8460,20947.9458,358.8460,43.1305,1.8361,0.4740,1133.9533,48.2739,12.4610,97.1734,108.8042,48.1546,3.5401,0.0000,0.2970,0.2523,0.0885,0.5754,0.6323,1.8454,0.0374,0.0000,0.0000,1.6861,0.4716,0.0000,1.9616,10.9008,0.0000,12.0737,15.6385,-0.0007,0.0000,-0.4041,-0.4041,21.7057,19.6935,51.4457,7.1550,90.0000,1.0000,1.0000,1107.1568,1833.1997,112.0000,31.3112,4.1734,6.3271,14.2746,0.0000,0.4765,0.5076,0.1176,0.6730,1.1400,2.7846,5.6036,6.3071,5.7035,14.4060,48.0056
+6-0,VEH-EURO6_2018_Class-12,LongHaul.vdri,Success,12,10060.0000,0.0000,17560.0000,375.0692,600.0000,1734.8739,12809.0000,7.7864,0.0069,AMT,14.9300,1.0000,3.5000,0.5223,None,91.0000,4521.8474,100.1850,79.7608,-2.5494,21879.9745,274.3200,21879.9745,274.3200,21879.9745,274.3200,21879.9745,274.3200,21879.9745,274.3200,32.9712,,0.3623,866.8513,,9.5258,94.0494,110.2212,138.4454,2.1364,0.0000,0.7763,0.7160,0.4396,1.7585,2.1533,5.8436,0.0147,0.0000,0.0000,2.9416,0.0000,0.0000,11.8949,5.5304,0.0000,77.2000,32.9997,-0.1159,0.0000,-0.5751,-0.5751,3.5241,3.4423,91.5518,1.4817,85.0000,1.0000,1.0000,1456.0404,1832.4340,55.0000,1.7568,0.7260,2.4506,2.7202,0.0000,0.0000,0.1343,0.1513,0.0727,0.2790,0.1500,0.3581,0.4592,0.4780,0.8456,94.3517
+6-1,VEH-EURO6_2018_Class-12,LongHaul.vdri,Success,12,10060.0000,19300.0000,36860.0000,375.0692,600.0000,1734.8739,12809.0000,7.7864,0.0064,AMT,14.9300,1.0000,3.5000,0.5223,None,91.0000,4561.3086,100.1850,79.0707,-2.5494,28404.8274,359.2332,28404.8274,359.2332,28404.8274,359.2332,28404.8274,359.2332,28404.8274,359.2332,43.1771,2.2372,0.4745,1135.1768,58.8174,12.4745,126.8193,147.1055,186.3871,4.2540,0.0000,0.7830,0.7222,0.4435,1.7738,2.1721,5.8946,0.0298,0.0000,0.0000,4.3825,0.0000,0.0000,16.3232,15.0062,0.0000,76.4213,64.3188,-0.2434,0.0000,-0.4007,-0.4007,4.0246,4.6400,89.8665,1.4689,90.0000,1.0000,1.0000,1462.3486,1826.0347,60.0000,8.3115,2.4493,1.5426,2.8843,0.0000,0.0000,0.1332,0.1400,0.1429,0.2450,0.1921,0.4515,0.6081,2.1864,2.5612,90.4554
+6-2,VEH-EURO6_2018_Class-12,LongHaul.vdri,Success,12,10060.0000,22440.0000,40000.0000,375.0692,600.0000,1734.8739,12809.0000,7.7864,0.0063,AMT,14.9300,1.0000,3.5000,0.5223,None,91.0000,4574.5456,100.1850,78.8419,-2.5494,29447.1193,373.4957,29447.1193,373.4957,29447.1193,373.4957,29447.1193,373.4957,29447.1193,373.4957,44.8913,2.0005,0.4933,1180.2463,52.5956,12.9697,131.8846,152.8146,194.1827,4.6057,0.0000,0.7853,0.7243,0.4447,1.7790,2.1784,5.9117,0.0323,0.0000,0.0000,4.6156,0.0000,0.0000,17.0407,16.7967,0.0000,76.2144,69.2297,-0.2641,0.0000,-0.3994,-0.3994,4.0894,4.7708,89.6752,1.4646,90.0000,1.0000,1.0000,1464.8358,1828.0430,62.0000,10.4434,2.4904,1.5377,2.9334,0.0000,0.0000,0.1328,0.1397,0.1426,0.2184,0.2154,0.4508,1.4996,1.7121,2.7992,89.7562
+6-3,VEH-EURO6_2018_Class-12,RegionalDelivery.vdri,Success,12,10060.0000,0.0000,17560.0000,375.0692,600.0000,1734.8739,12809.0000,7.7864,0.0069,AMT,14.9300,1.0000,3.5000,0.5223,None,91.0000,1569.2698,25.8360,59.2693,0.0101,16810.4522,283.6281,16810.4522,283.6281,16810.4522,283.6281,16810.4522,283.6281,16810.4522,283.6281,34.0899,,0.3746,896.2648,,9.8491,69.9625,83.2845,36.3044,2.1404,0.0000,0.2925,0.2485,0.0872,0.5667,0.6227,1.8176,0.0195,0.0000,0.0000,1.0427,0.0000,0.0000,3.2212,3.0511,0.0000,16.4691,8.5431,-0.0003,0.0000,-0.5727,-0.5727,11.6681,12.6402,68.4271,7.2645,88.8714,1.0000,1.0000,1254.3465,1831.0901,91.0000,2.4559,2.1086,6.8313,12.9087,0.0000,0.0000,0.4838,0.5493,0.3000,0.6792,0.5528,2.3326,5.6354,4.4897,6.7255,65.3431
+6-4,VEH-EURO6_2018_Class-12,RegionalDelivery.vdri,Success,12,10060.0000,12900.0000,30460.0000,375.0692,600.0000,1734.8739,12809.0000,7.7864,0.0065,AMT,14.9300,1.0000,3.5000,0.5223,None,91.0000,1575.5628,25.8360,59.0326,0.0101,21910.4317,371.1580,21910.4317,371.1580,21910.4317,371.1580,21910.4317,371.1580,21910.4317,371.1580,44.6103,3.4582,0.4902,1172.8594,90.9193,12.8886,94.8935,111.4281,48.7672,3.7813,0.0000,0.2937,0.2495,0.0875,0.5690,0.6252,1.8248,0.0329,0.0000,0.0000,1.5159,0.0000,0.0000,4.4721,6.6749,0.0000,16.4409,14.0250,-0.0005,0.0000,-0.5055,-0.5055,16.0506,14.7043,62.0096,7.2355,90.0000,1.0000,1.0000,1288.9141,1837.1240,105.0000,16.5921,2.2077,7.0110,13.8798,0.0000,0.0000,0.4819,0.5127,0.2992,0.7978,0.9571,2.7472,6.1864,6.5434,7.9282,59.6663
+6-5,VEH-EURO6_2018_Class-12,RegionalDelivery.vdri,Success,12,10060.0000,22440.0000,40000.0000,375.0692,600.0000,1734.8739,12809.0000,7.7864,0.0064,AMT,14.9300,1.0000,3.5000,0.5223,None,91.0000,1592.2873,25.8360,58.4126,0.0101,25103.2902,429.7583,25103.2902,429.7583,25103.2902,429.7583,25103.2902,429.7583,25103.2902,429.7583,51.6536,2.3019,0.5676,1358.0363,60.5186,14.9235,110.1389,128.7451,56.9442,4.5695,0.0000,0.2968,0.2521,0.0885,0.5750,0.6319,1.8442,0.0428,0.0000,0.0000,1.8324,0.0000,0.0000,5.2584,9.2386,0.0000,16.2365,17.9225,-0.0007,0.0000,-0.4492,-0.4492,19.4757,16.8705,56.4942,7.1595,90.0000,1.0000,1.0000,1310.6768,1846.7234,108.0000,27.4078,2.9854,6.3843,13.9508,0.0000,0.0000,0.4768,0.5076,0.5329,0.7222,1.0790,3.3816,7.7483,5.8870,10.4173,55.2965
+6-6,VEH-EURO6_2018_Class-12,Construction.vdri,Success,12,10060.0000,0.0000,17560.0000,375.0692,600.0000,1734.8739,12809.0000,7.7864,0.0069,AMT,14.9300,1.0000,3.5000,0.5223,None,0.0000,2436.5340,21.2190,31.3513,-0.1940,11009.3110,351.1601,11009.3110,351.1601,11009.3110,351.1601,11009.3110,351.1601,11009.3110,351.1601,42.2067,,,1109.6660,,,42.3176,53.9957,36.5451,3.6002,0.0000,0.7019,0.5211,0.1354,0.8799,0.9669,3.2051,0.0937,0.0000,0.0000,1.2800,0.0000,0.0000,3.1228,10.2085,0.0000,8.0225,7.0151,-0.0028,0.0000,-0.6687,-0.6687,20.4255,20.8163,32.0810,26.6772,84.0127,1.0000,1.0000,963.5610,1797.4405,308.0000,3.1752,8.0241,12.2830,39.1820,0.0000,0.0000,1.5812,1.3290,0.9161,2.1382,2.0367,2.8229,6.0184,3.3688,5.0616,35.5450
+6-7,VEH-EURO6_2018_Class-12,Construction.vdri,Success,12,10060.0000,12900.0000,30460.0000,375.0692,600.0000,1734.8739,12809.0000,7.7864,0.0065,AMT,14.9300,1.0000,3.5000,0.5223,None,0.0000,2453.9504,21.2190,31.1287,-0.1940,16121.6285,517.9016,16121.6285,517.9016,16121.6285,517.9016,16121.6285,517.9016,16121.6285,517.9016,62.2478,4.8254,,1636.5691,126.8658,,64.6351,79.9788,54.5178,4.2452,0.0000,0.7069,0.5249,0.1363,0.8861,0.9738,3.2280,0.1585,0.0000,0.0000,2.0658,0.0000,0.0000,4.6927,20.8254,0.0000,7.7905,11.5164,-0.0048,0.0000,-0.6643,-0.6643,22.3017,20.5062,30.7042,26.4879,87.0000,1.0000,1.0000,1084.3782,1827.4286,308.0000,13.1057,8.4897,12.5328,38.9923,0.0000,0.0000,1.5699,1.5431,1.0498,2.2373,2.5542,3.4168,8.3586,5.9226,5.6124,28.7432
+6-8,VEH-EURO6_2018_Class-12,Construction.vdri,Success,12,10060.0000,22440.0000,40000.0000,375.0692,600.0000,1734.8739,12809.0000,7.7864,0.0064,AMT,14.9300,1.0000,3.5000,0.5223,None,0.0000,2498.0212,21.2190,30.5796,-0.1940,18816.3650,615.3248,18816.3650,615.3248,18816.3650,615.3248,18816.3650,615.3248,18816.3650,615.3248,73.9573,3.2958,,1944.4264,86.6500,,78.0476,95.5539,66.3043,4.4454,0.0000,0.7196,0.5343,0.1388,0.9021,0.9913,3.2860,0.1814,0.0000,0.0000,2.5532,0.0000,0.0000,5.6992,27.9423,0.0000,7.4863,14.7169,-0.0063,0.0000,-0.6613,-0.6613,23.5346,19.7568,30.6881,26.0206,87.0000,1.0000,1.0000,1055.6294,1848.6210,312.0000,19.8320,8.8751,12.0796,38.4269,0.0000,0.3039,1.3807,1.4856,1.5753,2.2318,2.8048,4.8069,9.1804,6.0096,5.8027,25.9914
+7-0,VEH-EURO6_2018_Class-1,RegionalDelivery.vdri,Success,1,4010.0000,0.0000,5610.0000,125.0982,600.0000,2200.0000,4485.0000,4.7741,0.0071,MT,6.7000,0.7300,3.8000,0.3869,None,36.5000,1573.6462,25.8360,59.1045,0.0101,7766.7768,131.4075,7766.7768,131.4075,7766.7768,131.4075,7766.7768,131.4075,7766.7768,131.4075,15.7942,,0.4327,415.2477,,11.3766,31.9603,38.8548,16.9844,0.3999,0.0000,0.2933,0.1224,0.0656,0.5683,0.6245,1.6740,0.0051,0.0000,0.0000,0.6261,0.0000,0.0000,0.7584,0.8699,0.0000,9.8498,2.8013,-0.0001,0.0000,-0.6265,-0.6265,11.0157,11.8735,69.8664,7.2443,85.1583,1.0000,1.0000,1432.6053,2313.1101,57.0000,4.4443,1.1037,6.8527,12.8411,0.9090,2.0788,3.9548,10.0072,15.2460,54.9632,,,,,,
+7-1,VEH-EURO6_2018_Class-1,RegionalDelivery.vdri,Success,1,4010.0000,1250.0000,6860.0000,125.0982,600.0000,2200.0000,4485.0000,4.7741,0.0070,MT,6.7000,0.7300,3.8000,0.3869,None,36.5000,1574.1255,25.8360,59.0865,0.0101,8159.1218,138.0877,8159.1218,138.0877,8159.1218,138.0877,8159.1218,138.0877,8159.1218,138.0877,16.5971,13.2777,0.4547,436.3571,349.0857,11.9550,34.0405,41.0341,17.9424,0.5123,0.0001,0.2934,0.1224,0.0656,0.5684,0.6247,1.6745,0.0062,0.0000,0.0000,0.6620,0.0000,0.0000,0.8142,1.0844,0.0000,9.8316,3.3573,-0.0001,0.0000,-0.5710,-0.5710,12.5440,12.9116,67.3023,7.2421,86.5393,1.0000,1.0000,1439.6108,2312.7942,58.0000,9.5250,1.7001,6.8062,12.8378,0.9090,2.0777,4.4012,9.7674,16.3540,53.6530,,,,,,
+7-2,VEH-EURO6_2018_Class-1,RegionalDelivery.vdri,Success,1,4010.0000,1890.0000,7500.0000,125.0982,600.0000,2200.0000,4485.0000,4.7741,0.0069,MT,6.7000,0.7300,3.8000,0.3869,None,36.5000,1576.5407,25.8360,58.9960,0.0101,8362.6844,141.7500,8362.6844,141.7500,8362.6844,141.7500,8362.6844,141.7500,8362.6844,141.7500,17.0373,9.0144,0.4668,447.9301,237.0000,12.2721,35.0441,42.1238,18.4472,0.5743,0.0001,0.2938,0.1226,0.0657,0.5693,0.6256,1.6771,0.0068,0.0000,0.0000,0.6851,0.0000,0.0000,0.8421,1.2258,0.0000,9.7981,3.6379,-0.0001,0.0000,-0.5470,-0.5470,13.3888,13.5434,65.8367,7.2310,87.5593,1.0000,1.0000,1449.4238,2329.5661,62.0000,12.2871,1.7672,6.7981,13.3264,0.9078,2.0742,4.5216,10.2174,16.6016,52.3510,,,,,,
+7-3,VEH-EURO6_2018_Class-1,UrbanDelivery.vdri,Success,1,4010.0000,0.0000,5610.0000,125.0982,600.0000,2200.0000,4485.0000,4.7741,0.0071,MT,6.7000,0.7300,3.8000,0.3869,None,36.5000,3258.8581,27.8160,30.7278,-0.0158,4085.7184,132.9648,4085.7184,132.9648,4085.7184,132.9648,4085.7184,132.9648,4085.7184,132.9648,15.9813,,0.4378,420.1688,,11.5115,14.2169,19.4759,17.6304,1.1108,0.0003,0.4671,0.2444,0.1358,1.0863,1.2932,3.2268,0.0266,0.0000,0.0000,0.6558,0.0000,0.0000,0.7324,3.3708,0.0000,5.4910,3.0160,-0.0001,0.0000,-0.7212,-0.7212,15.1282,15.7418,49.5219,19.6081,85.0000,1.0000,1.0000,1244.7052,2321.7049,219.0000,1.8388,0.8009,11.4167,29.4546,2.4683,4.7735,15.2804,14.0699,26.4089,7.5444,,,,,,
+7-4,VEH-EURO6_2018_Class-1,UrbanDelivery.vdri,Success,1,4010.0000,1250.0000,6860.0000,125.0982,600.0000,2200.0000,4485.0000,4.7741,0.0070,MT,6.7000,0.7300,3.8000,0.3869,None,36.5000,3257.9894,27.8160,30.7360,-0.0158,4471.0642,145.4666,4471.0642,145.4666,4471.0642,145.4666,4471.0642,145.4666,4471.0642,145.4666,17.4840,13.9872,0.4790,459.6746,367.7397,12.5938,16.1071,21.5222,19.4775,1.2701,0.0000,0.4670,0.2443,0.1357,1.0860,1.2929,3.2259,0.0323,0.0000,0.0000,0.7195,0.0000,0.0000,0.8304,4.3012,0.0000,5.4837,3.6145,-0.0001,0.0000,-0.7121,-0.7121,15.8623,15.9093,48.6151,19.6133,85.0437,1.0000,1.0000,1260.0092,2330.9143,227.0000,3.3795,1.1688,11.3170,30.0787,2.4696,4.8487,15.5452,14.1378,24.1619,8.7582,,,,,,
+7-5,VEH-EURO6_2018_Class-1,UrbanDelivery.vdri,Success,1,4010.0000,1890.0000,7500.0000,125.0982,600.0000,2200.0000,4485.0000,4.7741,0.0069,MT,6.7000,0.7300,3.8000,0.3869,None,36.5000,3258.7780,27.8160,30.7286,-0.0158,4674.0982,152.1092,4674.0982,152.1092,4674.0982,152.1092,4674.0982,152.1092,4674.0982,152.1092,18.2824,9.6732,0.5009,480.6650,254.3201,13.1689,17.0418,22.5999,20.4578,1.3382,0.0007,0.4671,0.2444,0.1358,1.0863,1.2932,3.2267,0.0352,0.0000,0.0000,0.7687,0.0000,0.0000,0.8786,4.8180,0.0000,5.4752,3.9166,-0.0001,0.0000,-0.6986,-0.6986,16.2239,16.2714,47.8961,19.6086,85.2004,1.0000,1.0000,1259.3176,2331.9324,236.0000,4.6805,1.3304,11.2414,30.6826,2.4695,4.9405,14.0852,17.8495,20.4460,9.5266,,,,,,
+8-0,VEH-EURO6_2018_Class-2,LongHaul.vdri,Success,2,4670.0000,0.0000,9970.0000,175.0914,600.0000,2200.0000,6871.0000,6.1801,0.0067,MT,6.7000,0.7300,4.1800,0.4209,None,85.0000,4533.9061,100.1850,79.5486,-2.5494,15956.1264,200.5833,15956.1264,200.5833,15956.1264,200.5833,15956.1264,200.5833,15956.1264,200.5833,24.1086,,0.2836,633.8432,,7.4570,70.1270,81.1067,102.1472,0.7039,0.0000,0.7783,0.4660,0.2519,1.7632,2.1590,5.4184,0.0066,0.0000,0.0000,3.8044,0.0000,0.0000,4.6892,2.8143,0.0000,66.6499,18.1264,-0.0658,0.0000,-0.5764,-0.5764,4.3325,3.5203,90.6695,1.4778,85.0000,1.0000,1.0000,1589.9349,2330.6218,42.0000,4.3418,0.4117,2.2842,3.0136,0.2524,0.5950,0.2870,0.9355,2.8901,92.0265,,,,,,
+8-1,VEH-EURO6_2018_Class-2,LongHaul.vdri,Success,2,4670.0000,9866.1765,19836.1765,175.0914,600.0000,2200.0000,6871.0000,6.1801,0.0062,MT,6.7000,0.7300,4.1800,0.4209,None,85.0000,4620.4585,100.1850,78.0585,-2.5494,18733.8828,239.9980,18733.8828,239.9980,18733.8828,239.9980,18733.8828,239.9980,18733.8828,239.9980,28.8459,2.9237,0.3394,758.3938,76.8681,8.9223,83.9078,95.9704,123.1742,1.2994,0.0000,0.7932,0.4749,0.2567,1.7968,2.2002,5.5218,0.0129,0.0000,0.0000,4.4916,0.0000,0.0000,5.7468,7.3681,0.0000,65.1980,33.6664,-0.1310,0.0000,-0.4093,-0.4093,5.0303,4.8012,88.7184,1.4501,89.1588,1.0000,1.0000,1607.7272,2346.7622,46.0000,22.0003,2.1218,1.4899,3.1869,0.2483,0.6780,0.4126,3.4068,7.1854,84.8820,,,,,,
+8-2,VEH-EURO6_2018_Class-2,LongHaul.vdri,Success,2,4670.0000,12520.0000,22490.0000,175.0914,600.0000,2200.0000,6871.0000,6.1801,0.0061,MT,6.7000,0.7300,4.1800,0.4209,None,85.0000,4668.7597,100.1850,77.2509,-2.5494,19328.7602,250.2075,19328.7602,250.2075,19328.7602,250.2075,19328.7602,250.2075,19328.7602,250.2075,30.0730,2.4020,0.3538,790.6557,63.1514,9.3018,86.7587,99.0247,128.4229,1.3955,0.0014,0.8015,0.4798,0.2594,1.8156,2.2232,5.5795,0.0147,0.0000,0.0000,4.6286,0.0000,0.0000,6.0058,8.7291,0.0000,64.5225,37.6943,-0.1485,0.0000,-0.3833,-0.3833,6.6436,5.5181,86.4032,1.4351,90.0000,1.0000,1.0000,1619.4298,2345.3543,49.0000,26.7706,2.3880,1.4479,3.3233,0.2667,0.6611,1.5089,2.9013,9.5192,81.8195,,,,,,
+8-3,VEH-EURO6_2018_Class-2,RegionalDelivery.vdri,Success,2,4670.0000,0.0000,6570.0000,175.0914,600.0000,2200.0000,6871.0000,5.5801,0.0071,MT,6.7000,0.7300,4.1800,0.4209,None,45.2000,1572.4700,25.8360,59.1487,0.0101,9101.8996,153.8816,9101.8996,153.8816,9101.8996,153.8816,9101.8996,153.8816,9101.8996,153.8816,18.4954,,0.4092,486.2658,,10.7581,37.1706,44.7781,19.5589,0.5428,0.0000,0.2931,0.1485,0.0874,0.5678,0.6240,1.7208,0.0058,0.0000,0.0000,0.7201,0.0000,0.0000,0.8828,1.0154,0.0000,11.3690,3.3022,-0.0001,0.0000,-0.6349,-0.6349,10.4725,11.5170,70.7608,7.2497,85.0943,1.0000,1.0000,1446.8133,2323.6833,53.0000,0.3463,1.0179,6.9735,12.3360,0.9096,2.0800,3.6125,10.3808,14.4107,56.2703,,,,,,
+8-4,VEH-EURO6_2018_Class-2,RegionalDelivery.vdri,Success,2,4670.0000,3019.5882,9589.5882,175.0914,600.0000,2200.0000,6871.0000,5.5801,0.0069,MT,6.7000,0.7300,4.1800,0.4209,None,45.2000,1572.5620,25.8360,59.1453,0.0101,10143.5473,171.5023,10143.5473,171.5023,10143.5473,171.5023,10143.5473,171.5023,10143.5473,171.5023,20.6133,6.8265,0.4560,541.9472,179.4772,11.9900,42.5483,50.4996,22.0594,0.8567,0.0000,0.2931,0.1485,0.0874,0.5679,0.6240,1.7209,0.0084,0.0000,0.0000,0.8147,0.0000,0.0000,1.0257,1.6137,0.0000,11.3785,4.6410,-0.0002,0.0000,-0.5764,-0.5764,11.9559,12.7427,68.0520,7.2493,88.3638,1.0000,1.0000,1468.8506,2335.7194,59.0000,5.9781,1.6995,6.8866,13.1802,0.9096,2.0486,4.2123,9.9321,16.7663,52.9509,,,,,,
+8-5,VEH-EURO6_2018_Class-2,RegionalDelivery.vdri,Success,2,4670.0000,5420.0000,11990.0000,175.0914,600.0000,2200.0000,6871.0000,5.5801,0.0067,MT,6.7000,0.7300,4.1800,0.4209,None,45.2000,1576.2394,25.8360,59.0073,0.0101,10940.7652,185.4138,10940.7652,185.4138,10940.7652,185.4138,10940.7652,185.4138,10940.7652,185.4138,22.2853,4.1117,0.4930,585.9077,108.1010,12.9626,46.5776,54.8909,24.0337,1.0684,0.0000,0.2938,0.1489,0.0876,0.5692,0.6255,1.7249,0.0104,0.0000,0.0000,0.9133,0.0000,0.0000,1.1353,2.1846,0.0000,11.3223,5.6746,-0.0002,0.0000,-0.5221,-0.5221,14.6219,14.3592,63.7865,7.2324,90.0000,1.0000,1.0000,1446.6746,2323.0972,67.0000,13.8887,2.1763,6.7423,14.0076,0.9076,2.2643,3.1943,11.7417,12.0135,55.8710,,,,,,
+8-6,VEH-EURO6_2018_Class-2,UrbanDelivery.vdri,Success,2,4670.0000,0.0000,6570.0000,175.0914,600.0000,2200.0000,6871.0000,5.5801,0.0071,MT,6.7000,0.7300,4.1800,0.4209,None,45.2000,3254.0506,27.8160,30.7732,-0.0158,4823.0599,156.7291,4823.0599,156.7291,4823.0599,156.7291,4823.0599,156.7291,4823.0599,156.7291,18.8376,,0.4168,495.2641,,10.9572,16.6601,22.4276,20.2724,1.4948,0.0000,0.4664,0.2802,0.1356,1.0847,1.2913,3.2582,0.0304,0.0000,0.0000,0.7353,0.0000,0.0000,0.8578,4.0215,0.0000,6.3193,3.5552,-0.0001,0.0000,-0.7496,-0.7496,14.8918,15.1048,50.3664,19.6371,85.0000,1.0000,1.0000,1225.9682,2328.9377,213.0000,0.6476,0.4240,11.4671,29.0966,2.4718,3.8273,15.0046,15.0155,23.5802,11.0040,,,,,,
+8-7,VEH-EURO6_2018_Class-2,UrbanDelivery.vdri,Success,2,4670.0000,3019.5882,9589.5882,175.0914,600.0000,2200.0000,6871.0000,5.5801,0.0069,MT,6.7000,0.7300,4.1800,0.4209,None,45.2000,3255.7858,27.8160,30.7568,-0.0158,5748.8122,186.9118,5748.8122,186.9118,5748.8122,186.9118,5748.8122,186.9118,5748.8122,186.9118,22.4654,7.4399,0.4970,590.6414,195.6033,13.0673,21.1965,27.3871,24.7685,1.9230,0.0002,0.4667,0.2804,0.1357,1.0853,1.2920,3.2599,0.0438,0.0000,0.0000,0.8834,0.0000,0.0000,1.0945,6.2522,0.0000,6.3150,4.9966,-0.0001,0.0000,-0.7150,-0.7150,15.5994,15.7488,49.0253,19.6266,85.3710,1.0000,1.0000,1265.0002,2319.4203,227.0000,2.4723,1.4480,11.2945,30.0376,2.4706,3.8695,16.5046,14.0018,24.0091,9.1068,,,,,,
+8-8,VEH-EURO6_2018_Class-2,UrbanDelivery.vdri,Success,2,4670.0000,5420.0000,11990.0000,175.0914,600.0000,2200.0000,6871.0000,5.5801,0.0067,MT,6.7000,0.7300,4.1800,0.4209,None,45.2000,3256.7814,27.8160,30.7474,-0.0158,6504.4807,211.5456,6504.4807,211.5456,6504.4807,211.5456,6504.4807,211.5456,6504.4807,211.5456,25.4262,4.6912,0.5625,668.4842,123.3366,14.7895,24.8060,31.3966,28.4033,2.1594,0.0065,0.4668,0.2804,0.1357,1.0856,1.2924,3.2609,0.0544,0.0000,0.0000,1.0279,0.0000,0.0000,1.2779,8.2196,0.0000,6.2875,6.1093,-0.0001,0.0000,-0.7002,-0.7002,16.8414,16.1403,47.3977,19.6206,85.9960,1.0000,1.0000,1288.2081,2329.9124,234.0000,6.3794,1.5707,11.2759,30.5750,2.4702,5.0601,15.6975,16.4057,20.6715,9.1199,,,,,,
+9-0,VEH-EURO6_2018_Class-3,RegionalDelivery.vdri,Success,3,4980.0000,0.0000,6980.0000,199.9728,600.0000,2200.0000,7698.0000,5.1548,0.0067,MT,6.7000,0.7300,4.0000,0.4345,None,47.7000,1571.2159,25.8360,59.1959,0.0101,8826.4158,149.1051,8826.4158,149.1051,8826.4158,149.1051,8826.4158,149.1051,8826.4158,149.1051,17.9213,,0.3757,471.1721,,9.8778,35.8757,43.2909,18.8942,0.6077,0.0000,0.2929,0.1615,0.0873,0.5674,0.6235,1.7325,0.0074,0.0000,0.0000,0.6984,0.0000,0.0000,0.8581,1.1190,0.0000,10.5762,3.2952,-0.0001,0.0000,-0.6266,-0.6266,10.4860,11.5103,70.7481,7.2555,85.7160,1.0000,1.0000,1331.3190,2308.0974,54.0000,0.6917,1.2856,6.9583,12.4879,0.9104,1.6123,4.0637,10.5328,12.9230,57.4699,,,,,,
+9-1,VEH-EURO6_2018_Class-3,RegionalDelivery.vdri,Success,3,4980.0000,4205.8824,11185.8824,199.9728,600.0000,2200.0000,7698.0000,5.1548,0.0064,MT,6.7000,0.7300,4.0000,0.4345,None,47.7000,1570.9516,25.8360,59.2059,0.0101,10262.8450,173.3416,10262.8450,173.3416,10262.8450,173.3416,10262.8450,173.3416,10262.8450,173.3416,20.8343,4.9536,0.4368,547.7595,130.2365,11.4834,43.3463,51.1867,22.3366,1.0670,0.0000,0.2928,0.1615,0.0873,0.5673,0.6234,1.7322,0.0116,0.0000,0.0000,0.8324,0.0000,0.0000,1.0584,2.0002,0.0000,10.5975,5.0374,-0.0002,0.0000,-0.5507,-0.5507,12.8161,13.3823,66.5448,7.2567,90.0000,1.0000,1.0000,1356.3642,2281.6845,60.0000,7.0364,2.0666,6.8715,13.2569,0.9105,1.6420,4.8577,10.5884,14.9478,53.7966,,,,,,
+9-2,VEH-EURO6_2018_Class-3,RegionalDelivery.vdri,Success,3,4980.0000,8020.0000,15000.0000,199.9728,600.0000,2200.0000,7698.0000,5.1548,0.0062,MT,6.7000,0.7300,4.0000,0.4345,None,47.7000,1576.1717,25.8360,59.0098,0.0101,11595.7097,196.5048,11595.7097,196.5048,11595.7097,196.5048,11595.7097,196.5048,11595.7097,196.5048,23.6184,2.9449,0.4951,620.9551,77.4258,13.0179,50.0333,58.4687,25.5991,1.3879,0.0000,0.2938,0.1620,0.0876,0.5692,0.6255,1.7380,0.0155,0.0000,0.0000,0.9779,0.0000,0.0000,1.2339,3.1588,0.0000,10.5276,6.5598,-0.0003,0.0000,-0.4901,-0.4901,15.8389,15.6311,61.2973,7.2327,90.0000,1.0000,1.0000,1359.5370,2312.6807,69.0000,17.4863,2.1767,6.6507,14.5743,0.9075,1.9094,4.1228,11.1320,11.9490,55.4050,,,,,,
+9-3,VEH-EURO6_2018_Class-3,UrbanDelivery.vdri,Success,3,4980.0000,0.0000,6980.0000,199.9728,600.0000,2200.0000,7698.0000,5.1548,0.0067,MT,6.7000,0.7300,4.0000,0.4345,None,47.7000,3252.6783,27.8160,30.7862,-0.0158,4887.7766,158.7652,4887.7766,158.7652,4887.7766,158.7652,4887.7766,158.7652,4887.7766,158.7652,19.0824,,0.4000,501.6980,,10.5178,16.7398,22.4739,20.3057,1.5601,0.0003,0.4662,0.3162,0.1355,1.0842,1.2907,3.2929,0.0383,0.0000,0.0000,0.7327,0.0000,0.0000,0.8670,4.3779,0.0000,5.8888,3.5476,-0.0001,0.0000,-0.7515,-0.7515,15.1144,15.0426,50.1976,19.6453,85.0000,1.0000,1.0000,1155.9980,2310.4920,214.0000,0.9514,0.6364,11.4483,29.3756,2.4728,4.7553,14.6125,15.1774,21.6662,11.9403,,,,,,
+9-4,VEH-EURO6_2018_Class-3,UrbanDelivery.vdri,Success,3,4980.0000,4205.8824,11185.8824,199.9728,600.0000,2200.0000,7698.0000,5.1548,0.0064,MT,6.7000,0.7300,4.0000,0.4345,None,47.7000,3255.2305,27.8160,30.7621,-0.0158,6157.2277,200.1565,6157.2277,200.1565,6157.2277,200.1565,6157.2277,200.1565,6157.2277,200.1565,24.0573,5.7199,0.5043,632.4947,150.3833,13.2598,22.9496,29.3284,26.5197,2.1493,0.0000,0.4666,0.3165,0.1356,1.0851,1.2918,3.2955,0.0605,0.0000,0.0000,0.9581,0.0000,0.0000,1.1942,7.5644,0.0000,5.8743,5.4234,-0.0001,0.0000,-0.6998,-0.6998,16.3900,16.1035,47.8766,19.6299,85.9828,1.0000,1.0000,1190.8510,2294.8202,232.0000,3.5538,1.8058,11.1782,30.4101,2.4709,5.0010,14.6056,18.4942,19.8058,9.2124,,,,,,
+9-5,VEH-EURO6_2018_Class-3,UrbanDelivery.vdri,Success,3,4980.0000,8020.0000,15000.0000,199.9728,600.0000,2200.0000,7698.0000,5.1548,0.0062,MT,6.7000,0.7300,4.0000,0.4345,None,47.7000,3255.1584,27.8160,30.7627,-0.0158,7351.0954,238.9610,7351.0954,238.9610,7351.0954,238.9610,7351.0954,238.9610,7351.0954,238.9610,28.7213,3.5812,0.6021,755.1167,94.1542,15.8305,28.6729,35.6852,32.2669,2.4259,0.0002,0.4666,0.3165,0.1356,1.0851,1.2917,3.2955,0.0807,0.0000,0.0000,1.1695,0.0000,0.0000,1.4759,10.8994,0.0000,5.8577,7.0624,-0.0002,0.0000,-0.6908,-0.6908,17.7077,16.3270,46.3349,19.6304,86.9277,1.0000,1.0000,1218.2299,2321.0542,242.0000,8.3275,1.7602,11.1811,31.1532,2.4860,5.3911,17.0899,15.6483,17.5797,10.6517,,,,,,
diff --git a/Documentation/VECTO_3.2.0.vsum b/Documentation/VECTO_3.2.0.vsum
new file mode 100644
index 0000000000000000000000000000000000000000..4a752327c83d10d2493edac5e6b6bfa98ac0680f
--- /dev/null
+++ b/Documentation/VECTO_3.2.0.vsum
@@ -0,0 +1,69 @@
+# VECTO 3.2.0.925 - 13.07.2017 14:35
+Job [-],Input File [-],Cycle [-],Status,Vehicle manufacturer [-],VIN number,Vehicle model [-],HDV CO2 vehicle class [-],Corrected Actual Curb Mass [kg],Loading [kg],Total vehicle mass [kg],Engine manufacturer [-],Engine model [-],Engine fuel type [-],Engine rated power [kW],Engine idling speed [rpm],Engine rated speed [rpm],Engine displacement [ccm],Engine WHTCUrban,Engine WHTCRural,Engine WHTCMotorway,Engine BFColdHot,Engine CFRegPer,Engine actual CF,Declared CdxA [m²],CdxA [m²],total RRC [-],weighted RRC w/o trailer [-],r_dyn [m],Number axles vehicle driven [-],Number axles vehicle non-driven [-],Number axles trailer [-],Gearbox manufacturer [-],Gearbox model [-],Gearbox type [-],Gear ratio first gear [-],Gear ratio last gear [-],Torque converter manufacturer [-],Torque converter model [-],Retarder manufacturer [-],Retarder model [-],Retarder type [-],Angledrive manufacturer [-],Angledrive model [-],Angledrive ratio [-],Axle manufacturer [-],Axle model [-],Axle gear ratio [-],Auxiliary technology STP [-],Auxiliary technology FAN [-],Auxiliary technology AC [-],Auxiliary technology PS [-],Auxiliary technology ES [-],Cargo Volume [m³],time [s],distance [km],speed [km/h],altitudeDelta [m],FC-Map [g/h],FC-Map [g/km],FC-AUXc [g/h],FC-AUXc [g/km],FC-WHTCc [g/h],FC-WHTCc [g/km],FC-AAUX [g/h],FC-AAUX [g/km],FC-Final [g/h],FC-Final [g/km],FC-Final [l/100km],FC-Final [l/100tkm],FC-Final [l/100m³km],CO2 [g/km],CO2 [g/tkm],CO2 [g/m³km],P_wheel_in_pos [kW],P_fcmap_pos [kW],E_fcmap_pos [kWh],E_fcmap_neg [kWh],E_powertrain_inertia [kWh],E_aux_FAN [kWh],E_aux_STP [kWh],E_aux_AC [kWh],E_aux_PS [kWh],E_aux_ES [kWh],E_PTO_TRANSM [kWh],E_PTO_CONSUM [kWh],E_aux_sum [kWh],E_clutch_loss [kWh],E_tc_loss [kWh],E_shift_loss [kWh],E_gbx_loss [kWh],E_ret_loss [kWh],E_angle_loss [kWh],E_axl_loss [kWh],E_brake [kWh],E_vehi_inertia [kWh],E_air [kWh],E_roll [kWh],E_grad [kWh],a [m/s^2],a_pos [m/s^2],a_neg [m/s^2],AccelerationTimeShare [%],DecelerationTimeShare [%],CruiseTimeShare [%],max. speed [km/h],max. acc [m/s²],max. dec [m/s²],n_eng_avg [rpm],n_eng_max [rpm],gear shifts [-],StopTimeShare [%],Engine max. Load time share [%],CoastingTimeShare [%],BrakingTImeShare [%],Gear 0 TimeShare [%],Gear 1 TimeShare [%],Gear 2 TimeShare [%],Gear 3 TimeShare [%],Gear 4 TimeShare [%],Gear 5 TimeShare [%],Gear 6 TimeShare [%],Gear 7 TimeShare [%],Gear 8 TimeShare [%],Gear 9 TimeShare [%],Gear 10 TimeShare [%],Gear 11 TimeShare [%],Gear 12 TimeShare [%]
+35-0,VEH-N.A.,Construction.vdri,Success,Generic Vendor,N/A,N.A.,16,11300.0000,2600.0000,13900.0000,,,Diesel CI,325.0320,600.0000,1736.0000,12419.0000,1,1,1,0,1,1,8.9100,8.9100,0.00737563376638316,0.00737563376638316,0.5223,1,3,0,Generic Vendor,N.A.,AMT,14.9300,1.0000,n.a.,n.a.,n.a.,n.a.,None,n.a.,n.a.,n.a.,Generic Vendor,N.A.,3.5000,Fixed displacement,Crankshaft mounted - Electronically controlled visco clutch,None,Small,Standard technology,0.0000,2429.8508,21.2190,31.4375,-0.1940,9630.4582,306.3368,9630.4582,306.3368,9630.4582,306.3368,9630.4582,306.3368,9630.4582,306.3368,36.6432,14.0935,,958.8341,368.7824,,36.9906,47.7714,32.2437,2.8356,0.0000,0.6999,0.5197,0.0000,0.8774,0.9642,,,3.0613,0.0741,0.0000,0.0000,1.0981,0.0000,0.0000,2.6845,8.2053,0.0000,8.3636,5.9235,-0.0022,0.0000,0.7550,-0.7143,19.4446,19.6526,34.1523,82.0000,1.0000,1.0000,970.2369,1784.9709,302.0000,26.7506,2.6284,5.2298,12.9805,39.1206,0.0000,0.0000,1.5850,1.3092,1.0952,1.8723,1.9850,1.9297,6.6436,3.1124,5.0180,36.3290
+35-1,VEH-N.A.,Construction.vdri,Success,Generic Vendor,N/A,N.A.,16,11300.0000,12900.0000,24200.0000,,,Diesel CI,325.0320,600.0000,1736.0000,12419.0000,1,1,1,0,1,1,8.9100,8.9100,0.0069778123703227,0.0069778123703227,0.5223,1,3,0,Generic Vendor,N.A.,AMT,14.9300,1.0000,n.a.,n.a.,n.a.,n.a.,None,n.a.,n.a.,n.a.,Generic Vendor,N.A.,3.5000,Fixed displacement,Crankshaft mounted - Electronically controlled visco clutch,None,Small,Standard technology,0.0000,2445.9504,21.2190,31.2306,-0.1940,13524.6697,433.0588,13524.6697,433.0588,13524.6697,433.0588,13524.6697,433.0588,13524.6697,433.0588,51.8013,4.0156,,1355.4742,105.0755,,54.9225,68.6362,46.6335,3.5463,0.0000,0.7046,0.5232,0.0000,0.8833,0.9706,,,3.0816,0.1261,0.0000,0.0000,1.7478,0.0000,0.0000,3.9611,16.3064,0.0000,8.1115,9.7566,-0.0038,0.0000,0.6656,-0.6732,21.7195,20.4357,31.2702,84.5000,1.0000,1.0000,1023.1351,1852.8541,312.0000,26.5745,11.0702,7.1567,12.6801,39.2790,0.0000,0.0000,1.5746,1.3242,1.0150,2.4225,2.3260,3.1303,8.0329,6.0074,5.8978,28.9903
+36-0,VEH-N.A.,LongHaul.vdri,Success,Generic Vendor,N/A,N.A.,5,8229.0000,2600.0000,18329.0000,,,Diesel CI,325.0320,600.0000,1736.0000,12740.0000,1,1,1,0,1,1,5.4500,5.4500,0.00606962425883148,0.00618963304417978,0.4922,1,1,3,Generic Vendor,N.A.,AMT,14.9300,1.0000,n.a.,n.a.,Generic Vendor,N.A.,Secondary Retarder,n.a.,n.a.,n.a.,Generic Vendor,N.A.,2.6400,Fixed displacement,Crankshaft mounted - Electronically controlled visco clutch,None,Small,Standard technology,91.0000,4533.5904,100.1850,79.5542,-2.5494,16415.6531,206.3456,16415.6531,206.3456,16415.6531,206.3456,16415.6531,206.3456,16415.6531,206.3456,24.6825,9.4933,0.2712,645.8618,248.4084,7.0974,74.6480,85.2250,107.3265,1.9858,0.0000,0.7783,0.9067,0.0000,1.7631,2.1589,,,5.6069,0.0133,0.0000,0.0000,2.4128,1.9076,0.0000,4.0191,6.9932,0.0000,54.1509,30.3578,-0.1210,0.0000,0.5343,-0.4865,3.8926,4.0083,90.6213,87.5000,1.0000,1.0000,1169.0077,1666.8655,58.0000,1.4779,3.0837,2.2117,1.9696,2.8171,0.0000,0.1340,0.1286,0.0121,0.0358,0.2153,0.4861,0.3636,0.2818,1.1226,1.9345,92.4686
+36-1,VEH-N.A.,LongHaul.vdri,Success,Generic Vendor,N/A,N.A.,5,8229.0000,19300.0000,35029.0000,,,Diesel CI,325.0320,600.0000,1736.0000,12740.0000,1,1,1,0,1,1,5.4500,5.4500,0.00568896039079377,0.00580144267919907,0.4922,1,1,3,Generic Vendor,N.A.,AMT,14.9300,1.0000,n.a.,n.a.,Generic Vendor,N.A.,Secondary Retarder,n.a.,n.a.,n.a.,Generic Vendor,N.A.,2.6400,Fixed displacement,Crankshaft mounted - Electronically controlled visco clutch,None,Small,Standard technology,91.0000,4587.8796,100.1850,78.6128,-2.5494,21714.5540,276.2217,21714.5540,276.2217,21714.5540,276.2217,21714.5540,276.2217,21714.5540,276.2217,33.0409,1.7120,0.3631,864.5738,44.7966,9.5008,101.7177,114.0074,145.2922,3.3502,0.0000,0.7876,0.9176,0.0000,1.7842,2.1847,,,5.6740,0.0247,0.0000,0.0000,3.5727,1.9023,0.0000,5.5733,17.5411,0.0000,53.5063,54.3789,-0.2313,0.0000,0.4252,-0.4355,4.6107,4.3158,89.6131,87.5000,1.0000,1.0000,1182.4816,1670.1939,66.0000,1.4604,12.7583,2.4580,1.6593,3.0066,0.0000,0.1324,0.1273,0.0239,0.1421,0.2589,0.5372,0.3590,2.2956,1.6461,3.0625,88.4086
+36-2,VEH-N.A.,LongHaulEMS.vdri,Success,Generic Vendor,N/A,N.A.,5,8229.0000,3500.0000,24629.0000,,,Diesel CI,325.0320,600.0000,1736.0000,12740.0000,1,1,1,0,1,1,5.4500,6.9500,0.00606365035330168,0.00618167557299714,0.4922,1,1,5,Generic Vendor,N.A.,AMT,14.9300,1.0000,n.a.,n.a.,Generic Vendor,N.A.,Secondary Retarder,n.a.,n.a.,n.a.,Generic Vendor,N.A.,2.6400,Fixed displacement,Crankshaft mounted - Electronically controlled visco clutch,None,Small,Standard technology,140.5000,4552.4510,100.1850,79.2246,-2.5494,20848.0419,263.1512,20848.0419,263.1512,20848.0419,263.1512,20848.0419,263.1512,20848.0419,263.1512,31.4774,8.9935,0.2240,823.6632,235.3324,5.8624,97.6271,109.7473,138.7832,2.1537,0.0000,0.7815,0.9105,0.0000,1.7704,2.1678,,,5.6302,0.0179,0.0000,0.0000,3.1704,1.9055,0.0000,5.2535,9.9294,0.0000,70.1331,40.7522,-0.1626,0.0000,0.4540,-0.4315,4.4263,4.3260,89.7760,87.5000,1.0000,1.0000,1175.4002,1668.9784,62.0000,1.4717,6.1064,2.3459,1.6290,2.9192,0.0000,0.1334,0.1282,0.0241,0.1791,0.1840,0.4652,0.3178,0.4927,2.1799,2.1417,90.8348
+36-3,VEH-N.A.,LongHaulEMS.vdri,Success,Generic Vendor,N/A,N.A.,5,8229.0000,26500.0000,47629.0000,,,Diesel CI,325.0320,600.0000,1736.0000,12740.0000,1,1,1,0,1,1,5.4500,6.9500,0.00567664430265722,0.00578713668792302,0.4922,1,1,5,Generic Vendor,N.A.,AMT,14.9300,1.0000,n.a.,n.a.,Generic Vendor,N.A.,Secondary Retarder,n.a.,n.a.,n.a.,Generic Vendor,N.A.,2.6400,Fixed displacement,Crankshaft mounted - Electronically controlled visco clutch,None,Small,Standard technology,140.5000,4685.4009,100.1850,76.9766,-2.5494,27725.7889,360.1849,27725.7889,360.1849,27725.7889,360.1849,27725.7889,360.1849,27725.7889,360.1849,43.0843,1.6258,0.3066,1127.3786,42.5426,8.0240,131.3852,145.9887,190.0043,3.5338,0.0000,0.8043,0.9371,0.0000,1.8221,2.2311,,,5.7947,0.0336,0.0000,0.0000,5.0316,1.8924,0.0000,7.3030,24.8247,0.0000,68.1260,73.7790,-0.3145,0.0000,0.3442,-0.4097,6.0124,4.9832,87.5744,87.5000,1.0000,1.0000,1202.5530,1851.0148,78.0000,1.4300,25.6018,2.3987,1.6205,3.2286,0.0000,0.1296,0.1253,0.1523,0.1938,0.1248,1.5923,1.6745,1.4928,3.2357,7.3561,80.6942
+36-4,VEH-N.A.,RegionalDelivery.vdri,Success,Generic Vendor,N/A,N.A.,5,8229.0000,2600.0000,18329.0000,,,Diesel CI,325.0320,600.0000,1736.0000,12740.0000,1,1,1,0,1,1,5.4500,5.4500,0.00604097460534917,0.00605332801406722,0.4922,1,1,3,Generic Vendor,N.A.,AMT,14.9300,1.0000,n.a.,n.a.,Generic Vendor,N.A.,Secondary Retarder,n.a.,n.a.,n.a.,Generic Vendor,N.A.,2.6400,Fixed displacement,Crankshaft mounted - Electronically controlled visco clutch,None,Small,Standard technology,91.0000,5947.1634,100.0000,60.5331,7.2888,13211.8713,218.2588,13211.8713,218.2588,13211.8713,218.2588,13211.8713,218.2588,13211.8713,218.2588,26.1075,10.0413,0.2869,683.1500,262.7500,7.5071,58.6870,67.5266,111.5533,5.0579,0.0000,1.1085,1.1068,0.0000,2.1476,2.3600,,,6.7229,0.0449,0.0000,0.0000,3.0838,1.8461,0.0000,4.2898,13.0311,0.0000,46.9527,30.1577,0.3664,0.0000,0.5563,-0.5436,9.2758,9.0863,69.0941,87.5000,1.0000,1.0000,1035.1492,1828.8021,228.0000,12.5438,5.1373,5.4357,4.6395,16.2887,0.0000,0.2971,0.2664,0.0321,0.3226,0.4403,0.5323,2.5209,2.7837,4.3860,6.2762,65.8535
+36-5,VEH-N.A.,RegionalDelivery.vdri,Success,Generic Vendor,N/A,N.A.,5,8229.0000,12900.0000,28629.0000,,,Diesel CI,325.0320,600.0000,1736.0000,12740.0000,1,1,1,0,1,1,5.4500,5.4500,0.005777504193043,0.00578931882153088,0.4922,1,1,3,Generic Vendor,N.A.,AMT,14.9300,1.0000,n.a.,n.a.,Generic Vendor,N.A.,Secondary Retarder,n.a.,n.a.,n.a.,Generic Vendor,N.A.,2.6400,Fixed displacement,Crankshaft mounted - Electronically controlled visco clutch,None,Small,Standard technology,91.0000,5977.1696,100.0000,60.2292,7.2888,16591.4809,275.4725,16591.4809,275.4725,16591.4809,275.4725,16591.4809,275.4725,16591.4809,275.4725,32.9513,2.5544,0.3621,862.2289,66.8394,9.4750,75.7398,85.8070,142.4675,6.7617,0.0000,1.1141,1.1124,0.0000,2.1584,2.3719,,,6.7568,0.0688,0.0000,0.0000,4.1795,1.8436,0.0000,5.5688,25.0184,0.0000,46.6472,45.0504,0.5724,0.0000,0.4747,-0.4940,10.5609,9.5938,67.3646,87.5000,1.0000,1.0000,1065.2134,1832.3019,232.0000,12.4808,13.6877,6.8985,4.2781,16.3394,0.0000,0.2956,0.2575,0.1022,0.5641,0.4193,0.6953,2.9324,3.9366,5.8891,5.8042,62.7645
+36-6,VEH-N.A.,RegionalDeliveryEMS.vdri,Success,Generic Vendor,N/A,N.A.,5,8229.0000,3500.0000,24629.0000,,,Diesel CI,325.0320,600.0000,1736.0000,12740.0000,1,1,1,0,1,1,5.4500,6.9500,0.00607768016047861,0.00608225568406386,0.4922,1,1,5,Generic Vendor,N.A.,AMT,14.9300,1.0000,n.a.,n.a.,Generic Vendor,N.A.,Secondary Retarder,n.a.,n.a.,n.a.,Generic Vendor,N.A.,2.6400,Fixed displacement,Crankshaft mounted - Electronically controlled visco clutch,None,Small,Standard technology,140.5000,5966.5935,100.0000,60.3359,7.2888,16854.0711,279.3372,16854.0711,279.3372,16854.0711,279.3372,16854.0711,279.3372,16854.0711,279.3372,33.4135,9.5467,0.2378,874.3254,249.8073,6.2230,77.1604,87.3889,144.8372,5.6730,0.0000,1.1121,1.1104,0.0000,2.1546,2.3677,,,6.7449,0.0603,0.0000,0.0000,4.0624,1.8441,0.0000,5.6013,18.7396,0.0000,60.8496,40.7696,0.4924,0.0000,0.5123,-0.5117,9.8922,9.4800,68.1249,87.5000,1.0000,1.0000,1056.3227,1813.5223,238.0000,12.5029,11.5678,5.6824,4.3817,16.4459,0.0000,0.2961,0.2657,0.0932,0.4692,0.4359,0.7293,2.6940,3.6899,5.0637,6.5931,63.2241
+36-7,VEH-N.A.,RegionalDeliveryEMS.vdri,Success,Generic Vendor,N/A,N.A.,5,8229.0000,17500.0000,38629.0000,,,Diesel CI,325.0320,600.0000,1736.0000,12740.0000,1,1,1,0,1,1,5.4500,6.9500,0.00581020121436157,0.00581457536897146,0.4922,1,1,5,Generic Vendor,N.A.,AMT,14.9300,1.0000,n.a.,n.a.,Generic Vendor,N.A.,Secondary Retarder,n.a.,n.a.,n.a.,Generic Vendor,N.A.,2.6400,Fixed displacement,Crankshaft mounted - Electronically controlled visco clutch,None,Small,Standard technology,140.5000,6064.9629,100.0000,59.3573,7.2888,21204.5766,357.2360,21204.5766,357.2360,21204.5766,357.2360,21204.5766,357.2360,21204.5766,357.2360,42.7316,2.4418,0.3041,1118.1488,63.8942,7.9584,98.4616,110.6129,186.3509,7.0649,0.0000,1.1304,1.1288,0.0000,2.1901,2.4067,,,6.8561,0.0929,0.0000,0.0000,6.0749,1.8354,0.0000,7.2500,35.7864,0.0000,59.4878,61.1303,0.7723,0.0000,0.3908,-0.4507,12.5284,10.4882,64.6833,87.5000,1.0000,1.0000,1098.3660,1838.9003,250.0000,12.3002,22.3743,6.5051,4.1911,16.4294,0.0000,0.2913,0.2542,0.1101,0.5544,0.5733,1.3175,3.5299,5.3602,5.2548,13.9915,52.3334
+37-0,VEH-N.A.,LongHaul.vdri,Success,Generic Vendor,N/A,N.A.,10,9010.0000,2600.0000,19110.0000,,,Diesel CI,350.1420,600.0000,1736.0000,12809.0000,1,1,1,0,1,1,5.5500,5.5500,0.00595529372213275,0.00596595603998982,0.4922,1,2,3,Generic Vendor,N.A.,AMT,14.9300,1.0000,n.a.,n.a.,Generic Vendor,N.A.,Secondary Retarder,n.a.,n.a.,n.a.,Generic Vendor,N.A.,2.6400,Fixed displacement,Crankshaft mounted - Electronically controlled visco clutch,None,Small,Standard technology,91.0000,4532.3407,100.1850,79.5761,-2.5494,16858.7844,211.8574,16858.7844,211.8574,16858.7844,211.8574,16858.7844,211.8574,16858.7844,211.8574,25.3418,9.7468,0.2785,663.1136,255.0437,7.2870,76.3978,86.9339,109.4483,2.1771,0.0000,0.7781,0.7176,0.0000,1.7626,2.1583,,,5.4165,0.0139,0.0000,0.0000,2.4612,1.9078,0.0000,4.1180,7.3688,0.0000,55.0560,31.0551,-0.1262,0.0000,0.5433,-0.4811,3.8384,4.0586,90.6248,87.5000,1.0000,1.0000,1168.8290,1672.1847,58.0000,1.4783,2.6413,2.2211,1.9958,2.8125,0.0000,0.1340,0.1287,0.0242,0.0358,0.1798,0.5102,0.3069,0.3955,1.0101,1.8230,92.6393
+37-1,VEH-N.A.,LongHaul.vdri,Success,Generic Vendor,N/A,N.A.,10,9010.0000,19300.0000,35810.0000,,,Diesel CI,350.1420,600.0000,1736.0000,12809.0000,1,1,1,0,1,1,5.5500,5.5500,0.005592793995659,0.00560280729644199,0.4922,1,2,3,Generic Vendor,N.A.,AMT,14.9300,1.0000,n.a.,n.a.,Generic Vendor,N.A.,Secondary Retarder,n.a.,n.a.,n.a.,Generic Vendor,N.A.,2.6400,Fixed displacement,Crankshaft mounted - Electronically controlled visco clutch,None,Small,Standard technology,91.0000,4573.2844,100.1850,78.8637,-2.5494,22134.5506,280.6685,22134.5506,280.6685,22134.5506,280.6685,22134.5506,280.6685,22134.5506,280.6685,33.5728,1.7395,0.3689,878.4925,45.5177,9.6538,103.6304,115.8684,147.1942,3.6100,0.0000,0.7851,0.7241,0.0000,1.7785,2.1778,,,5.4654,0.0253,0.0000,0.0000,3.5785,1.9037,0.0000,5.6671,17.9785,0.0000,54.5506,54.6516,-0.2364,0.0000,0.4572,-0.4316,4.1671,4.3431,90.0248,87.5000,1.0000,1.0000,1181.4688,1671.1208,64.0000,1.4650,10.7024,2.4810,1.6587,2.9787,0.0000,0.1328,0.1277,0.0120,0.1545,0.2280,0.5488,0.3491,1.8765,1.7171,2.4125,89.4623
+37-2,VEH-N.A.,LongHaulEMS.vdri,Success,Generic Vendor,N/A,N.A.,10,9010.0000,3500.0000,25410.0000,,,Diesel CI,350.1420,600.0000,1736.0000,12809.0000,1,1,1,0,1,1,5.5500,7.0500,0.0060138839231009,0.00602840772422456,0.4922,1,2,5,Generic Vendor,N.A.,AMT,14.9300,1.0000,n.a.,n.a.,Generic Vendor,N.A.,Secondary Retarder,n.a.,n.a.,n.a.,Generic Vendor,N.A.,2.6400,Fixed displacement,Crankshaft mounted - Electronically controlled visco clutch,None,Small,Standard technology,140.5000,4548.4970,100.1850,79.2934,-2.5494,21307.3453,268.7151,21307.3453,268.7151,21307.3453,268.7151,21307.3453,268.7151,21307.3453,268.7151,32.1430,9.1837,0.2288,841.0782,240.3081,5.9863,99.6612,111.7447,141.1862,2.3427,0.0000,0.7808,0.7202,0.0000,1.7689,2.1660,,,5.4358,0.0185,0.0000,0.0000,3.2150,1.9059,0.0000,5.3639,10.2953,0.0000,71.0776,41.6994,-0.1678,0.0000,0.4648,-0.4315,4.3530,4.3317,89.8423,87.5000,1.0000,1.0000,1174.6434,1674.4630,62.0000,1.4730,5.4506,2.3600,1.6679,2.9350,0.0000,0.1335,0.1283,0.0121,0.1911,0.1722,0.4548,0.3072,0.4820,1.9481,1.9635,91.2722
+37-3,VEH-N.A.,LongHaulEMS.vdri,Success,Generic Vendor,N/A,N.A.,10,9010.0000,26500.0000,48410.0000,,,Diesel CI,350.1420,600.0000,1736.0000,12809.0000,1,1,1,0,1,1,5.5500,7.0500,0.00563847941902761,0.00565209660132926,0.4922,1,2,5,Generic Vendor,N.A.,AMT,14.9300,1.0000,n.a.,n.a.,Generic Vendor,N.A.,Secondary Retarder,n.a.,n.a.,n.a.,Generic Vendor,N.A.,2.6400,Fixed displacement,Crankshaft mounted - Electronically controlled visco clutch,None,Small,Standard technology,140.5000,4661.9603,100.1850,77.3636,-2.5494,28282.9711,365.5850,28282.9711,365.5850,28282.9711,365.5850,28282.9711,365.5850,28282.9711,365.5850,43.7303,1.6502,0.3112,1144.2811,43.1804,8.1443,134.1426,148.7597,192.6422,3.8072,0.0000,0.8003,0.7381,0.0000,1.8130,2.2200,,,5.5714,0.0342,0.0000,0.0000,5.0576,1.8954,0.0000,7.4266,25.2511,0.0000,69.4337,74.4847,-0.3196,0.0000,0.3559,-0.4045,5.7499,4.9919,87.8210,87.5000,1.0000,1.0000,1200.1714,1774.2881,73.0000,1.4372,22.6852,2.3954,1.6399,3.1782,0.0000,0.1303,0.1258,0.1643,0.1132,0.1379,0.6392,2.3605,1.6858,2.9403,6.5755,81.9490
+37-4,VEH-N.A.,RegionalDelivery.vdri,Success,Generic Vendor,N/A,N.A.,10,9010.0000,2600.0000,19110.0000,,,Diesel CI,350.1420,600.0000,1736.0000,12809.0000,1,1,1,0,1,1,5.5500,5.5500,0.00593291640620736,0.00586231498497671,0.4922,1,2,3,Generic Vendor,N.A.,AMT,14.9300,1.0000,n.a.,n.a.,Generic Vendor,N.A.,Secondary Retarder,n.a.,n.a.,n.a.,Generic Vendor,N.A.,2.6400,Fixed displacement,Crankshaft mounted - Electronically controlled visco clutch,None,Small,Standard technology,91.0000,5944.4095,100.0000,60.5611,7.2888,13634.6148,225.1381,13634.6148,225.1381,13634.6148,225.1381,13634.6148,225.1381,13634.6148,225.1381,26.9304,10.3578,0.2959,704.6824,271.0317,7.7438,60.3721,69.2522,114.3510,5.5028,0.0000,1.1080,0.9412,0.0000,2.1466,2.3589,,,6.5547,0.0469,0.0000,0.0000,3.1592,1.8464,0.0000,4.4207,13.8134,0.0000,47.7447,30.8803,0.3821,0.0000,0.5784,-0.5421,8.9226,9.0772,69.4506,87.5000,1.0000,1.0000,1036.3352,1829.9469,227.0000,12.5496,4.3204,5.4584,4.6754,16.3202,0.0000,0.2972,0.2666,0.0412,0.2767,0.4495,0.5897,2.2608,3.1814,3.8718,5.9064,66.5385
+37-5,VEH-N.A.,RegionalDelivery.vdri,Success,Generic Vendor,N/A,N.A.,10,9010.0000,12900.0000,29410.0000,,,Diesel CI,350.1420,600.0000,1736.0000,12809.0000,1,1,1,0,1,1,5.5500,5.5500,0.00568257001660674,0.00561494770542848,0.4922,1,2,3,Generic Vendor,N.A.,AMT,14.9300,1.0000,n.a.,n.a.,Generic Vendor,N.A.,Secondary Retarder,n.a.,n.a.,n.a.,Generic Vendor,N.A.,2.6400,Fixed displacement,Crankshaft mounted - Electronically controlled visco clutch,None,Small,Standard technology,91.0000,5973.3123,100.0000,60.2681,7.2888,16994.4156,281.9804,16994.4156,281.9804,16994.4156,281.9804,16994.4156,281.9804,16994.4156,281.9804,33.7297,2.6147,0.3707,882.5987,68.4185,9.6989,77.3516,87.4547,145.1095,7.3690,0.0000,1.1134,0.9458,0.0000,2.1570,2.3704,,,6.5865,0.0708,0.0000,0.0000,4.2542,1.8441,0.0000,5.6992,25.7192,0.0000,47.4595,45.5189,0.5880,0.0000,0.4878,-0.4916,10.4203,9.7089,67.3819,87.5000,1.0000,1.0000,1068.7980,1834.4116,242.0000,12.4889,12.0154,6.9059,4.2941,16.5578,0.0000,0.2958,0.2577,0.1022,0.4782,0.4625,0.7612,2.9249,3.7056,5.4305,6.3380,62.6856
+37-6,VEH-N.A.,RegionalDeliveryEMS.vdri,Success,Generic Vendor,N/A,N.A.,10,9010.0000,3500.0000,25410.0000,,,Diesel CI,350.1420,600.0000,1736.0000,12809.0000,1,1,1,0,1,1,5.5500,7.0500,0.0060009786550883,0.00595831436187132,0.4922,1,2,5,Generic Vendor,N.A.,AMT,14.9300,1.0000,n.a.,n.a.,Generic Vendor,N.A.,Secondary Retarder,n.a.,n.a.,n.a.,Generic Vendor,N.A.,2.6400,Fixed displacement,Crankshaft mounted - Electronically controlled visco clutch,None,Small,Standard technology,140.5000,5960.7609,100.0000,60.3950,7.2888,17256.8294,285.7329,17256.8294,285.7329,17256.8294,285.7329,17256.8294,285.7329,17256.8294,285.7329,34.1786,9.7653,0.2433,894.3439,255.5268,6.3654,78.9294,89.1738,147.6511,6.0989,0.0000,1.1110,0.9438,0.0000,2.1525,2.3654,,,6.5727,0.0624,0.0000,0.0000,4.1151,1.8448,0.0000,5.7345,19.4771,0.0000,61.7060,41.5316,0.5080,0.0000,0.5177,-0.5163,9.8026,9.3343,68.3480,87.5000,1.0000,1.0000,1050.7833,1820.9334,230.0000,12.5152,9.6724,5.6770,4.4149,16.3662,0.0000,0.2964,0.2660,0.0933,0.4560,0.4016,0.6873,2.5364,3.3984,4.8310,6.8381,63.8294
+37-7,VEH-N.A.,RegionalDeliveryEMS.vdri,Success,Generic Vendor,N/A,N.A.,10,9010.0000,17500.0000,39410.0000,,,Diesel CI,350.1420,600.0000,1736.0000,12809.0000,1,1,1,0,1,1,5.5500,7.0500,0.00574330532804316,0.00570247297774935,0.4922,1,2,5,Generic Vendor,N.A.,AMT,14.9300,1.0000,n.a.,n.a.,Generic Vendor,N.A.,Secondary Retarder,n.a.,n.a.,n.a.,Generic Vendor,N.A.,2.6400,Fixed displacement,Crankshaft mounted - Electronically controlled visco clutch,None,Small,Standard technology,140.5000,6043.5066,100.0000,59.5681,7.2888,21686.4315,364.0614,21686.4315,364.0614,21686.4315,364.0614,21686.4315,364.0614,21686.4315,364.0614,43.5480,2.4885,0.3100,1139.5121,65.1150,8.1104,100.7163,112.8688,189.4787,7.6493,0.0000,1.1264,0.9569,0.0000,2.1824,2.3982,,,6.6639,0.0949,0.0000,0.0000,6.0740,1.8375,0.0000,7.4059,36.7550,0.0000,60.5621,61.6482,0.7879,0.0000,0.4083,-0.4613,11.9660,10.1271,65.5631,87.5000,1.0000,1.0000,1091.3411,1841.5254,245.0000,12.3438,20.8598,6.5369,4.2391,16.3838,0.0000,0.2923,0.2549,0.0921,0.5666,0.5349,1.0290,2.9957,6.0235,4.8055,13.7742,53.2474
+38-0,VEH-N.A.,LongHaul.vdri,Success,Generic Vendor,N/A,N.A.,12,10060.0000,2600.0000,20160.0000,,,Diesel CI,375.0690,600.0000,1735.0000,12809.0000,1,1,1,0,1,1,7.7900,7.7900,0.00674219002799283,0.00775338644871994,0.5223,1,2,3,Generic Vendor,N.A.,AMT,14.9300,1.0000,n.a.,n.a.,n.a.,n.a.,None,n.a.,n.a.,n.a.,Generic Vendor,N.A.,3.5000,Fixed displacement,Crankshaft mounted - Electronically controlled visco clutch,None,Small,Standard technology,91.0000,4528.2061,100.1850,79.6488,-2.5494,22372.4325,280.8887,22372.4325,280.8887,22372.4325,280.8887,22372.4325,280.8887,22372.4325,280.8887,33.5991,12.9227,0.3692,879.1815,338.1467,9.6613,96.9340,113.1677,142.3463,2.5073,0.0079,0.7773,0.7170,0.0000,1.7610,2.1563,,,5.4116,0.0168,0.0000,0.0000,3.0956,0.0000,0.0000,12.3036,7.1338,0.0000,74.9125,37.0904,-0.1331,0.0000,0.5510,-0.5490,3.8283,3.5894,91.1027,85.4166,1.0000,1.0000,1452.3286,1846.2084,57.0000,1.4796,2.3044,0.9261,2.4374,2.7663,0.0000,0.0000,0.1341,0.1511,0.0727,0.2560,0.1497,0.3787,0.4693,0.5873,1.1860,93.8489
+38-1,VEH-N.A.,LongHaul.vdri,Success,Generic Vendor,N/A,N.A.,12,10060.0000,19300.0000,36860.0000,,,Diesel CI,375.0690,600.0000,1735.0000,12809.0000,1,1,1,0,1,1,7.7900,7.7900,0.006347380138843,0.00729936281075579,0.5223,1,2,3,Generic Vendor,N.A.,AMT,14.9300,1.0000,n.a.,n.a.,n.a.,n.a.,None,n.a.,n.a.,n.a.,Generic Vendor,N.A.,3.5000,Fixed displacement,Crankshaft mounted - Electronically controlled visco clutch,None,Small,Standard technology,91.0000,4564.9464,100.1850,79.0077,-2.5494,28092.1665,355.5623,28092.1665,355.5623,28092.1665,355.5623,28092.1665,355.5623,28092.1665,355.5623,42.5314,2.2037,0.4674,1112.9100,57.6637,12.2298,125.5609,145.3744,184.3406,4.2447,0.0000,0.7836,0.7228,0.0000,1.7753,2.1738,,,5.4555,0.0298,0.0000,0.0000,4.3445,0.0000,0.0000,16.1730,16.2687,0.0000,74.2238,63.8439,-0.2434,0.0000,0.4715,-0.4213,3.9839,4.3643,90.1841,87.5000,1.0000,1.0000,1459.6696,1826.9458,60.0000,1.4677,8.2043,2.1503,1.7317,2.8995,0.0000,0.0000,0.1331,0.1399,0.1782,0.1741,0.2048,0.4617,0.6189,2.1571,2.5394,90.4933
+38-2,VEH-N.A.,LongHaulEMS.vdri,Success,Generic Vendor,N/A,N.A.,12,10060.0000,3500.0000,26460.0000,,,Diesel CI,375.0690,600.0000,1735.0000,12809.0000,1,1,1,0,1,1,7.7900,9.2900,0.00661591405471325,0.0076742657200019,0.5223,1,2,5,Generic Vendor,N.A.,AMT,14.9300,1.0000,n.a.,n.a.,n.a.,n.a.,None,n.a.,n.a.,n.a.,Generic Vendor,N.A.,3.5000,Fixed displacement,Crankshaft mounted - Electronically controlled visco clutch,None,Small,Standard technology,140.5000,4540.5467,100.1850,79.4323,-2.5494,26914.0282,338.8298,26914.0282,338.8298,26914.0282,338.8298,26914.0282,338.8298,26914.0282,338.8298,40.5299,11.5800,0.2885,1060.5374,303.0107,7.5483,120.3419,139.5311,175.9854,2.9088,0.0080,0.7795,0.7189,0.0000,1.7658,2.1622,,,5.4263,0.0219,0.0000,0.0000,3.9237,0.0000,0.0000,15.2941,9.8928,0.0000,90.9150,47.7694,-0.1747,0.0000,0.4639,-0.5140,4.4721,3.7020,90.3503,86.6984,1.0000,1.0000,1457.7579,1823.4682,58.0000,1.4756,4.4786,1.3586,2.0782,2.8246,0.0000,0.0000,0.1338,0.1406,0.1025,0.2123,0.1811,0.4206,0.5775,0.8178,2.4436,92.1458
+38-3,VEH-N.A.,LongHaulEMS.vdri,Success,Generic Vendor,N/A,N.A.,12,10060.0000,26500.0000,49460.0000,,,Diesel CI,375.0690,600.0000,1735.0000,12809.0000,1,1,1,0,1,1,7.7900,9.2900,0.00621474663088079,0.00720892330726217,0.5223,1,2,5,Generic Vendor,N.A.,AMT,14.9300,1.0000,n.a.,n.a.,n.a.,n.a.,None,n.a.,n.a.,n.a.,Generic Vendor,N.A.,3.5000,Fixed displacement,Crankshaft mounted - Electronically controlled visco clutch,None,Small,Standard technology,140.5000,4635.6220,100.1850,77.8032,-2.5494,34473.9470,443.0919,34473.9470,443.0919,34473.9470,443.0919,34473.9470,443.0919,34473.9470,443.0919,53.0014,2.0001,0.3772,1386.8777,52.3350,9.8710,156.6240,180.5516,232.4914,4.8773,0.0083,0.7958,0.7340,0.0000,1.8027,2.2074,,,5.5399,0.0399,0.0000,0.0000,5.7275,0.0000,0.0000,20.4293,23.3445,0.0000,88.9734,83.8778,-0.3266,0.0000,0.3869,-0.4192,5.0022,4.6720,88.8805,87.5000,1.0000,1.0000,1467.2742,1854.9900,68.0000,1.4453,18.5199,2.2238,1.6801,3.0429,0.0000,0.0000,0.1310,0.1383,0.1419,0.2468,0.2114,1.2048,2.1188,1.4412,5.2025,86.1203
+38-4,VEH-N.A.,RegionalDelivery.vdri,Success,Generic Vendor,N/A,N.A.,12,10060.0000,2600.0000,20160.0000,,,Diesel CI,375.0690,600.0000,1735.0000,12809.0000,1,1,1,0,1,1,7.7900,7.7900,0.00676979094786585,0.0075680903670733,0.5223,1,2,3,Generic Vendor,N.A.,AMT,14.9300,1.0000,n.a.,n.a.,n.a.,n.a.,None,n.a.,n.a.,n.a.,Generic Vendor,N.A.,3.5000,Fixed displacement,Crankshaft mounted - Electronically controlled visco clutch,None,Small,Standard technology,91.0000,5948.8279,100.0000,60.5161,7.2888,17547.3527,289.9616,17547.3527,289.9616,17547.3527,289.9616,17547.3527,289.9616,17547.3527,289.9616,34.6844,13.3402,0.3811,907.5798,349.0692,9.9734,74.0077,87.5658,144.6984,6.2052,0.0000,1.1088,0.9419,0.0000,2.1482,2.3606,,,6.5595,0.0560,0.0000,0.0000,3.8240,0.0000,0.0000,12.6710,13.0943,0.0000,64.7131,37.1722,0.4030,0.0000,0.5958,-0.5801,8.9042,8.7822,69.7733,86.5000,1.0000,1.0000,1250.6333,1849.1349,244.0000,12.5403,3.5820,2.8999,5.1657,16.5431,0.0000,0.0000,0.2970,0.3279,0.1033,0.5454,0.5020,1.1768,3.7966,2.6300,4.6684,69.4097
+38-5,VEH-N.A.,RegionalDelivery.vdri,Success,Generic Vendor,N/A,N.A.,12,10060.0000,12900.0000,30460.0000,,,Diesel CI,375.0690,600.0000,1735.0000,12809.0000,1,1,1,0,1,1,7.7900,7.7900,0.00649607934242725,0.00726210245985011,0.5223,1,2,3,Generic Vendor,N.A.,AMT,14.9300,1.0000,n.a.,n.a.,n.a.,n.a.,None,n.a.,n.a.,n.a.,Generic Vendor,N.A.,3.5000,Fixed displacement,Crankshaft mounted - Electronically controlled visco clutch,None,Small,Standard technology,91.0000,5964.8386,100.0000,60.3537,7.2888,21308.1111,353.0540,21308.1111,353.0540,21308.1111,353.0540,21308.1111,353.0540,21308.1111,353.0540,42.2313,3.2737,0.4641,1105.0590,85.6635,12.1435,92.1248,108.0703,179.0616,9.0383,0.0000,1.1118,0.9444,0.0000,2.1540,2.3670,,,6.5772,0.0830,0.0000,0.0000,5.0399,0.0000,0.0000,15.9498,23.4077,0.0000,64.4636,53.8931,0.6090,0.0000,0.5037,-0.5426,10.1727,8.9833,68.3374,87.5000,1.0000,1.0000,1297.8326,1843.9582,242.0000,12.5066,9.7602,5.1111,4.6336,16.5515,0.0000,0.0000,0.2962,0.3271,0.1345,0.5252,0.6407,1.2800,4.3602,3.5063,6.5945,65.7837
+38-6,VEH-N.A.,RegionalDeliveryEMS.vdri,Success,Generic Vendor,N/A,N.A.,12,10060.0000,3500.0000,26460.0000,,,Diesel CI,375.0690,600.0000,1735.0000,12809.0000,1,1,1,0,1,1,7.7900,9.2900,0.00662790818992911,0.0075621850802031,0.5223,1,2,5,Generic Vendor,N.A.,AMT,14.9300,1.0000,n.a.,n.a.,n.a.,n.a.,None,n.a.,n.a.,n.a.,Generic Vendor,N.A.,3.5000,Fixed displacement,Crankshaft mounted - Electronically controlled visco clutch,None,Small,Standard technology,140.5000,5961.8552,100.0000,60.3839,7.2888,21293.6276,352.6376,21293.6276,352.6376,21293.6276,352.6376,21293.6276,352.6376,21293.6276,352.6376,42.1815,12.0519,0.3002,1103.7556,315.3587,7.8559,92.5978,108.5932,179.8381,7.2357,0.0000,1.1112,0.9440,0.0000,2.1529,2.3658,,,6.5739,0.0732,0.0000,0.0000,4.8333,0.0000,0.0000,15.8383,18.3376,0.0000,78.6512,47.7659,0.5290,0.0000,0.5233,-0.5643,9.9653,8.8288,68.6930,86.5000,1.0000,1.0000,1267.8015,1836.2210,241.0000,12.5129,7.4758,3.8045,4.9141,16.5041,0.0000,0.0000,0.2963,0.3273,0.1030,0.5438,0.5815,1.4054,3.8671,3.3852,5.7961,67.1903
+38-7,VEH-N.A.,RegionalDeliveryEMS.vdri,Success,Generic Vendor,N/A,N.A.,12,10060.0000,17500.0000,40460.0000,,,Diesel CI,375.0690,600.0000,1735.0000,12809.0000,1,1,1,0,1,1,7.7900,9.2900,0.00635232749448465,0.00724775824088015,0.5223,1,2,5,Generic Vendor,N.A.,AMT,14.9300,1.0000,n.a.,n.a.,n.a.,n.a.,None,n.a.,n.a.,n.a.,Generic Vendor,N.A.,3.5000,Fixed displacement,Crankshaft mounted - Electronically controlled visco clutch,None,Small,Standard technology,140.5000,6020.4849,100.0000,59.7958,7.2888,26150.5963,437.3313,26150.5963,437.3313,26150.5963,437.3313,26150.5963,437.3313,26150.5963,437.3313,52.3124,2.9893,0.3723,1368.8470,78.2198,9.7427,115.5594,134.7402,225.3338,9.9791,0.0000,1.1222,0.9532,0.0000,2.1741,2.3891,,,6.6385,0.1100,0.0000,0.0000,6.6008,0.0000,0.0000,20.0531,33.5545,0.0000,77.5867,70.0020,0.8089,0.0000,0.4256,-0.5088,11.4977,9.3058,66.8055,87.5000,1.0000,1.0000,1312.7798,1852.5432,244.0000,12.3910,18.9147,5.0809,4.4382,16.4375,0.0000,0.0000,0.2934,0.3167,0.3296,0.5610,0.7722,1.6060,5.1274,4.6772,8.7640,61.1151
+38-8,VEH-N.A.,Construction.vdri,Success,Generic Vendor,N/A,N.A.,12,10060.0000,2600.0000,20160.0000,,,Diesel CI,375.0690,600.0000,1735.0000,12809.0000,1,1,1,0,1,1,7.7900,7.7900,0.00676979094786585,0.0075680903670733,0.5223,1,2,3,Generic Vendor,N.A.,AMT,14.9300,1.0000,n.a.,n.a.,n.a.,n.a.,None,n.a.,n.a.,n.a.,Generic Vendor,N.A.,3.5000,Fixed displacement,Crankshaft mounted - Electronically controlled visco clutch,None,Small,Standard technology,0.0000,2429.6200,21.2190,31.4405,-0.1940,12109.2216,385.1476,12109.2216,385.1476,12109.2216,385.1476,12109.2216,385.1476,12109.2216,385.1476,46.0703,17.7193,,1205.5119,463.6584,,47.5123,59.9537,40.4624,3.7041,0.0000,0.6999,0.5197,0.0000,0.8774,0.9641,,,3.0610,0.1067,0.0000,0.0000,1.4545,0.0000,0.0000,3.4607,13.0340,0.0000,7.7590,7.8855,-0.0032,0.0000,0.7147,-0.6905,20.4893,20.1910,32.5665,84.5000,1.0000,1.0000,977.1485,1822.7963,307.0000,26.7532,4.6194,7.0035,12.7620,39.3468,0.0000,0.0000,1.5857,1.3331,0.9637,1.8563,2.2727,2.6443,6.3480,3.9772,6.7283,32.9440
+38-9,VEH-N.A.,Construction.vdri,Success,Generic Vendor,N/A,N.A.,12,10060.0000,12900.0000,30460.0000,,,Diesel CI,375.0690,600.0000,1735.0000,12809.0000,1,1,1,0,1,1,7.7900,7.7900,0.00649607934242725,0.00726210245985011,0.5223,1,2,3,Generic Vendor,N.A.,AMT,14.9300,1.0000,n.a.,n.a.,n.a.,n.a.,None,n.a.,n.a.,n.a.,Generic Vendor,N.A.,3.5000,Fixed displacement,Crankshaft mounted - Electronically controlled visco clutch,None,Small,Standard technology,0.0000,2453.5643,21.2190,31.1336,-0.1940,16163.4823,519.1645,16163.4823,519.1645,16163.4823,519.1645,16163.4823,519.1645,16163.4823,519.1645,62.1010,4.8140,,1624.9848,125.9678,,64.8643,80.1260,54.6095,4.1909,0.0000,0.7068,0.5248,0.0000,0.8860,0.9736,,,3.0912,0.1584,0.0000,0.0000,2.0671,0.0000,0.0000,4.6958,21.4669,0.0000,7.5114,11.4326,-0.0048,0.0000,0.6513,-0.6842,22.0739,19.8869,31.5471,84.5000,1.0000,1.0000,1087.4364,1857.3048,308.0000,26.4921,13.1116,7.8765,12.6351,39.0408,0.0000,0.0000,1.5701,1.5434,1.0053,2.3038,2.5106,3.4822,8.4998,5.6630,5.7109,28.6701
+39-0,VEH-N.A.,RegionalDelivery.vdri,Success,Generic Vendor,N/A,N.A.,1,4010.0000,250.0000,5860.0000,,,Diesel CI,125.0980,600.0000,2200.0000,4485.0000,1,1,1,0,1,1,4.7700,4.7700,0.0070236044646289,0.0070236044646289,0.3869,1,1,0,Generic Vendor,N.A.,MT,6.7000,0.7300,n.a.,n.a.,n.a.,n.a.,None,n.a.,n.a.,n.a.,Generic Vendor,N.A.,3.8000,Fixed displacement,Crankshaft mounted - Electronically controlled visco clutch,None,Small,Standard technology,36.5000,5954.2292,100.0000,60.4612,7.2888,7911.8259,130.8578,7911.8259,130.8578,7911.8259,130.8578,7911.8259,130.8578,7911.8259,130.8578,15.6529,62.6114,0.4288,409.5851,1638.3402,11.2215,32.8146,39.6435,65.5685,1.1228,0.0000,1.1098,0.4631,0.0000,2.1501,2.3628,,,6.0858,0.0136,0.0000,0.0000,2.3813,0.0000,0.0000,2.9202,2.9951,0.0000,38.7224,11.2101,0.1172,0.0000,0.6275,-0.6186,8.5118,8.3148,70.6445,85.0000,1.0000,1.0000,1416.9844,2326.8815,135.0000,12.5289,3.2321,1.5238,5.4339,16.3284,0.5759,0.6583,2.7067,6.2113,12.7589,60.7605,,,,,,
+39-1,VEH-N.A.,RegionalDelivery.vdri,Success,Generic Vendor,N/A,N.A.,1,4010.0000,1250.0000,6860.0000,,,Diesel CI,125.0980,600.0000,2200.0000,4485.0000,1,1,1,0,1,1,4.7700,4.7700,0.00691380929687631,0.00691380929687631,0.3869,1,1,0,Generic Vendor,N.A.,MT,6.7000,0.7300,n.a.,n.a.,n.a.,n.a.,None,n.a.,n.a.,n.a.,Generic Vendor,N.A.,3.8000,Fixed displacement,Crankshaft mounted - Electronically controlled visco clutch,None,Small,Standard technology,36.5000,5955.2732,100.0000,60.4506,7.2888,8225.2512,136.0656,8225.2512,136.0656,8225.2512,136.0656,8225.2512,136.0656,8225.2512,136.0656,16.2758,13.0206,0.4459,425.8853,340.7083,11.6681,34.4382,41.3664,68.4300,1.3369,0.0000,1.1100,0.4632,0.0000,2.1505,2.3632,,,6.0869,0.0158,0.0000,0.0000,2.4765,0.0000,0.0000,3.0765,3.6979,0.0000,38.6844,12.9179,0.1371,0.0000,0.5915,-0.6163,8.8875,8.1026,70.4831,85.0000,1.0000,1.0000,1411.7089,2326.8815,134.0000,12.5267,5.1073,2.0713,5.1617,16.2930,0.5760,0.6585,2.8631,5.9748,13.1437,60.4908,,,,,,
+39-3,VEH-N.A.,UrbanDelivery.vdri,Success,Generic Vendor,N/A,N.A.,1,4010.0000,1250.0000,6860.0000,,,Diesel CI,125.0980,600.0000,2200.0000,4485.0000,1,1,1,0,1,1,4.7700,4.7700,0.00691380929687631,0.00691380929687631,0.3869,1,1,0,Generic Vendor,N.A.,MT,6.7000,0.7300,n.a.,n.a.,n.a.,n.a.,None,n.a.,n.a.,n.a.,Generic Vendor,N.A.,3.8000,Fixed displacement,Crankshaft mounted - Electronically controlled visco clutch,None,Small,Standard technology,36.5000,3258.6681,27.8160,30.7296,-0.0158,4410.3930,143.5226,4410.3930,143.5226,4410.3930,143.5226,4410.3930,143.5226,4410.3930,143.5226,17.1678,13.7342,0.4703,449.2257,359.3805,12.3076,15.9218,21.1885,19.1795,1.2965,0.0000,0.4671,0.2444,0.0000,1.0862,1.2931,,,3.0908,0.0323,0.0000,0.0000,0.7159,0.0000,0.0000,0.8224,4.3558,0.0000,5.2730,3.5929,-0.0001,0.0000,0.7471,-0.7076,15.8300,15.9985,48.5623,85.0790,1.0000,1.0000,1264.6653,2321.9387,227.0000,19.6092,3.3011,1.6378,11.3971,30.0695,2.4691,4.8476,15.5101,14.1176,24.2090,8.7770,,,,,,
+40-0,VEH-N.A.,LongHaul.vdri,Success,Generic Vendor,N/A,N.A.,2,4670.0000,1303.9176,11273.9176,,,Diesel CI,175.0910,600.0000,2200.0000,6871.0000,1,1,1,0,1,1,5.5800,6.8800,0.00671925970907781,0.00719178065652167,0.4209,1,1,2,Generic Vendor,N.A.,MT,6.7000,0.7300,n.a.,n.a.,n.a.,n.a.,None,n.a.,n.a.,n.a.,Generic Vendor,N.A.,4.1800,Fixed displacement,Crankshaft mounted - Electronically controlled visco clutch,None,Small,Standard technology,85.0000,4542.7294,100.1850,79.3941,-2.5494,16870.7604,212.4938,16870.7604,212.4938,16870.7604,212.4938,16870.7604,212.4938,16870.7604,212.4938,25.4179,19.4935,0.2990,665.1057,510.0826,7.8248,74.7970,86.0096,108.5329,0.7448,0.0000,0.7798,0.4669,0.0000,1.7666,2.1632,,,5.1765,0.0075,0.0000,0.0000,4.0464,0.0000,0.0000,5.0105,3.5124,0.0000,69.4380,20.6712,-0.0744,0.0000,0.4667,-0.5437,4.5563,3.6190,90.3498,85.0000,1.0000,1.0000,1592.6298,2343.5814,42.0000,1.4749,5.8647,0.5397,2.1823,3.0099,0.2519,0.6042,0.3298,1.0770,3.4198,91.3074,,,,,,
+40-1,VEH-N.A.,LongHaul.vdri,Success,Generic Vendor,N/A,N.A.,2,4670.0000,9841.1765,19811.1765,,,Diesel CI,175.0910,600.0000,2200.0000,6871.0000,1,1,1,0,1,1,5.5800,6.8800,0.00635093819958199,0.00679755753938359,0.4209,1,1,2,Generic Vendor,N.A.,MT,6.7000,0.7300,n.a.,n.a.,n.a.,n.a.,None,n.a.,n.a.,n.a.,Generic Vendor,N.A.,4.1800,Fixed displacement,Crankshaft mounted - Electronically controlled visco clutch,None,Small,Standard technology,85.0000,4629.1462,100.1850,77.9120,-2.5494,19237.4994,246.9132,19237.4994,246.9132,19237.4994,246.9132,19237.4994,246.9132,19237.4994,246.9132,29.5351,3.0012,0.3475,772.8383,78.5311,9.0922,86.4833,98.5801,126.7616,1.2515,0.0000,0.7947,0.4758,0.0000,1.8002,2.2044,,,5.2750,0.0130,0.0000,0.0000,4.5785,0.0000,0.0000,5.9281,7.6408,0.0000,67.8720,34.3335,-0.1308,0.0000,0.3911,-0.4278,5.1607,4.5465,88.8455,87.5000,1.0000,1.0000,1615.2671,2347.4147,47.0000,1.4474,23.0565,2.0111,1.5692,3.1752,0.2478,0.6886,0.4119,3.4373,8.9706,83.0686,,,,,,
+40-2,VEH-N.A.,RegionalDelivery.vdri,Success,Generic Vendor,N/A,N.A.,2,4670.0000,603.9176,7173.9176,,,Diesel CI,175.0910,600.0000,2200.0000,6871.0000,1,1,1,0,1,1,5.5800,5.5800,0.00703838440223836,0.00703838440223836,0.4209,1,1,0,Generic Vendor,N.A.,MT,6.7000,0.7300,n.a.,n.a.,n.a.,n.a.,None,n.a.,n.a.,n.a.,Generic Vendor,N.A.,4.1800,Fixed displacement,Crankshaft mounted - Electronically controlled visco clutch,None,Small,Standard technology,45.2000,5947.4623,100.0000,60.5300,7.2888,9380.8416,154.9783,9380.8416,154.9783,9380.8416,154.9783,9380.8416,154.9783,9380.8416,154.9783,18.5381,30.6964,0.4101,485.0822,803.2257,10.7319,38.8487,46.3699,76.6065,1.6115,0.0000,1.1085,0.5617,0.0000,2.1477,2.3601,,,6.1780,0.0163,0.0000,0.0000,2.7684,0.0000,0.0000,3.4610,3.7150,0.0000,44.9604,13.7525,0.1434,0.0000,0.6523,-0.6273,8.0636,8.0824,71.3108,85.0000,1.0000,1.0000,1427.7461,2308.8793,128.0000,12.5432,1.5526,1.4985,5.5158,16.1014,0.5766,0.6591,2.5442,5.9042,13.2474,60.9670,,,,,,
+40-3,VEH-N.A.,RegionalDelivery.vdri,Success,Generic Vendor,N/A,N.A.,2,4670.0000,3019.5882,9589.5882,,,Diesel CI,175.0910,600.0000,2200.0000,6871.0000,1,1,1,0,1,1,5.5800,5.5800,0.00683704793740095,0.00683704793740095,0.4209,1,1,0,Generic Vendor,N.A.,MT,6.7000,0.7300,n.a.,n.a.,n.a.,n.a.,None,n.a.,n.a.,n.a.,Generic Vendor,N.A.,4.1800,Fixed displacement,Crankshaft mounted - Electronically controlled visco clutch,None,Small,Standard technology,45.2000,5953.7884,100.0000,60.4657,7.2888,10188.8461,168.5062,10188.8461,168.5062,10188.8461,168.5062,10188.8461,168.5062,10188.8461,168.5062,20.1562,6.6752,0.4459,527.4244,174.6677,11.6687,42.8020,50.6312,83.7354,2.1888,0.0000,1.1097,0.5623,0.0000,2.1500,2.3626,,,6.1846,0.0216,0.0000,0.0000,3.0493,0.0000,0.0000,3.8434,5.4984,0.0000,44.9001,17.8575,0.1917,0.0000,0.6042,-0.6074,8.8050,8.3632,70.3020,86.5000,1.0000,1.0000,1450.7783,2352.9147,139.0000,12.5298,3.6902,2.3937,5.1601,16.4585,0.5760,0.6584,2.8460,6.1755,12.5596,60.7260,,,,,,
+40-4,VEH-N.A.,UrbanDelivery.vdri,Success,Generic Vendor,N/A,N.A.,2,4670.0000,603.9176,7173.9176,,,Diesel CI,175.0910,600.0000,2200.0000,6871.0000,1,1,1,0,1,1,5.5800,5.5800,0.00703838440223836,0.00703838440223836,0.4209,1,1,0,Generic Vendor,N.A.,MT,6.7000,0.7300,n.a.,n.a.,n.a.,n.a.,None,n.a.,n.a.,n.a.,Generic Vendor,N.A.,4.1800,Fixed displacement,Crankshaft mounted - Electronically controlled visco clutch,None,Small,Standard technology,45.2000,3255.3805,27.8160,30.7606,-0.0158,4955.7827,161.1079,4955.7827,161.1079,4955.7827,161.1079,4955.7827,161.1079,4955.7827,161.1079,19.2713,31.9104,0.4264,504.2677,834.9942,11.1564,17.3839,23.1009,20.8895,1.6172,0.0000,0.4666,0.2803,0.0000,1.0851,1.2918,,,3.1239,0.0330,0.0000,0.0000,0.7662,0.0000,0.0000,0.8988,4.5086,0.0000,6.1170,3.8251,-0.0001,0.0000,0.7824,-0.7358,14.9868,15.3617,50.0224,85.0000,1.0000,1.0000,1242.2750,2331.0026,215.0000,19.6290,0.7542,0.9293,11.5462,29.2380,2.4708,3.8427,15.7108,14.2590,23.5470,10.9317,,,,,,
+40-5,VEH-N.A.,UrbanDelivery.vdri,Success,Generic Vendor,N/A,N.A.,2,4670.0000,3019.5882,9589.5882,,,Diesel CI,175.0910,600.0000,2200.0000,6871.0000,1,1,1,0,1,1,5.5800,5.5800,0.00683704793740095,0.00683704793740095,0.4209,1,1,0,Generic Vendor,N.A.,MT,6.7000,0.7300,n.a.,n.a.,n.a.,n.a.,None,n.a.,n.a.,n.a.,Generic Vendor,N.A.,4.1800,Fixed displacement,Crankshaft mounted - Electronically controlled visco clutch,None,Small,Standard technology,45.2000,3257.1699,27.8160,30.7437,-0.0158,5697.5656,185.3244,5697.5656,185.3244,5697.5656,185.3244,5697.5656,185.3244,5697.5656,185.3244,22.1680,7.3414,0.4904,580.0653,192.1008,12.8333,21.0310,27.0885,24.5089,1.9472,0.0002,0.4669,0.2805,0.0000,1.0857,1.2925,,,3.1256,0.0438,0.0000,0.0000,0.8808,0.0000,0.0000,1.0881,6.3522,0.0000,6.1042,4.9668,-0.0001,0.0000,0.7567,-0.7096,15.5460,15.8536,48.9821,85.4154,1.0000,1.0000,1268.3296,2323.2172,227.0000,19.6183,2.4699,1.8421,11.4591,30.0094,2.4695,3.8848,16.4015,14.0608,24.0430,9.1311,,,,,,
+41-0,VEH-N.A.,RegionalDelivery.vdri,Success,Generic Vendor,N/A,N.A.,3,4980.0000,841.1765,7821.1765,,,Diesel CI,199.9730,600.0000,2200.0000,7698.0000,1,1,1,0,1,1,5.1500,5.1500,0.00659013064506781,0.00659013064506781,0.4345,1,1,0,Generic Vendor,N.A.,MT,6.7000,0.7300,n.a.,n.a.,n.a.,n.a.,None,n.a.,n.a.,n.a.,Generic Vendor,N.A.,4.0000,Fixed displacement,Crankshaft mounted - Electronically controlled visco clutch,None,Small,Standard technology,47.7000,5946.7646,100.0000,60.5371,7.2888,9137.6716,150.9433,9137.6716,150.9433,9137.6716,150.9433,9137.6716,150.9433,9137.6716,150.9433,18.0554,21.4645,0.3785,472.4525,561.6568,9.9047,37.6651,45.0575,74.4295,1.8446,0.0000,1.1084,0.6112,0.0000,2.1474,2.3598,,,6.2269,0.0205,0.0000,0.0000,2.6800,0.0000,0.0000,3.3770,4.3358,0.0000,41.7499,14.0384,0.1564,0.0000,0.6473,-0.6290,8.0739,7.9697,71.4118,85.1087,1.0000,1.0000,1320.5786,2296.5748,132.0000,12.5446,1.6245,1.9527,5.3558,16.1166,0.5767,0.5797,2.7263,5.9131,13.1661,60.9216,,,,,,
+41-1,VEH-N.A.,RegionalDelivery.vdri,Success,Generic Vendor,N/A,N.A.,3,4980.0000,4205.8824,11185.8824,,,Diesel CI,199.9730,600.0000,2200.0000,7698.0000,1,1,1,0,1,1,5.1500,5.1500,0.00635849315437582,0.00635849315437582,0.4345,1,1,0,Generic Vendor,N.A.,MT,6.7000,0.7300,n.a.,n.a.,n.a.,n.a.,None,n.a.,n.a.,n.a.,Generic Vendor,N.A.,4.0000,Fixed displacement,Crankshaft mounted - Electronically controlled visco clutch,None,Small,Standard technology,47.7000,5955.3637,100.0000,60.4497,7.2888,10239.8389,169.3943,10239.8389,169.3943,10239.8389,169.3943,10239.8389,169.3943,10239.8389,169.3943,20.2625,4.8177,0.4248,530.2043,126.0626,11.1154,43.2011,51.0053,84.3764,2.6747,0.0000,1.1100,0.6121,0.0000,2.1505,2.3632,,,6.2359,0.0290,0.0000,0.0000,3.0703,0.0000,0.0000,3.9159,7.1848,0.0000,41.6702,19.3721,0.2236,0.0000,0.5896,-0.5787,8.9969,8.7496,69.7270,86.5000,1.0000,1.0000,1334.3033,2309.5746,145.0000,12.5265,4.2664,3.6830,4.9354,16.5219,0.5758,0.6156,3.1382,6.2992,12.7644,60.0848,,,,,,
+41-2,VEH-N.A.,UrbanDelivery.vdri,Success,Generic Vendor,N/A,N.A.,3,4980.0000,841.1765,7821.1765,,,Diesel CI,199.9730,600.0000,2200.0000,7698.0000,1,1,1,0,1,1,5.1500,5.1500,0.00659013064506781,0.00659013064506781,0.4345,1,1,0,Generic Vendor,N.A.,MT,6.7000,0.7300,n.a.,n.a.,n.a.,n.a.,None,n.a.,n.a.,n.a.,Generic Vendor,N.A.,4.0000,Fixed displacement,Crankshaft mounted - Electronically controlled visco clutch,None,Small,Standard technology,47.7000,3254.5355,27.8160,30.7686,-0.0158,5055.2449,164.2987,5055.2449,164.2987,5055.2449,164.2987,5055.2449,164.2987,5055.2449,164.2987,19.6530,23.3636,0.4120,514.2548,611.3519,10.7810,17.7298,23.4164,21.1693,1.7222,0.0000,0.4665,0.3164,0.0000,1.0848,1.2915,,,3.1592,0.0427,0.0000,0.0000,0.7740,0.0000,0.0000,0.9236,4.9582,0.0000,5.6849,3.9046,-0.0001,0.0000,0.7664,-0.7219,15.2195,15.5237,49.6226,85.1015,1.0000,1.0000,1163.0360,2311.4682,216.0000,19.6341,1.2727,1.6856,11.3837,29.4759,2.4714,4.7693,15.3563,14.4885,21.6367,11.8018,,,,,,
+41-3,VEH-N.A.,UrbanDelivery.vdri,Success,Generic Vendor,N/A,N.A.,3,4980.0000,4205.8824,11185.8824,,,Diesel CI,199.9730,600.0000,2200.0000,7698.0000,1,1,1,0,1,1,5.1500,5.1500,0.00635849315437582,0.00635849315437582,0.4345,1,1,0,Generic Vendor,N.A.,MT,6.7000,0.7300,n.a.,n.a.,n.a.,n.a.,None,n.a.,n.a.,n.a.,Generic Vendor,N.A.,4.0000,Fixed displacement,Crankshaft mounted - Electronically controlled visco clutch,None,Small,Standard technology,47.7000,3255.9972,27.8160,30.7548,-0.0158,6109.9166,198.6653,6109.9166,198.6653,6109.9166,198.6653,6109.9166,198.6653,6109.9166,198.6653,23.7638,5.6501,0.4982,621.8225,147.8459,13.0361,22.8393,29.0898,26.3101,2.1728,0.0000,0.4667,0.3166,0.0000,1.0853,1.2921,,,3.1606,0.0604,0.0000,0.0000,0.9546,0.0000,0.0000,1.1894,7.7092,0.0000,5.6751,5.3881,-0.0001,0.0000,0.7246,-0.7001,16.3428,16.1053,47.9265,86.0476,1.0000,1.0000,1190.3744,2295.3468,232.0000,19.6253,3.4049,2.1751,11.3540,30.3883,2.4703,4.9831,14.5863,18.5123,19.9051,9.1546,,,,,,
+42-0,VEH-N.A.,LongHaul.vdri,Success,Generic Vendor,N/A,N.A.,4,8200.0000,1900.0000,17600.0000,,,Diesel CI,325.0320,600.0000,1736.0000,12742.0000,1,1,1,0,1,1,5.9500,7.4500,0.00600739916907089,0.00620218437779948,0.4922,1,1,2,Generic Vendor,N.A.,AMT,14.9300,1.0000,n.a.,n.a.,Generic Vendor,N.A.,Secondary Retarder,n.a.,n.a.,n.a.,Generic Vendor,N.A.,2.6400,Fixed displacement,Crankshaft mounted - Electronically controlled visco clutch,None,Small,Standard technology,98.9000,4532.3606,100.1850,79.5758,-2.5494,19068.5419,239.6275,19068.5419,239.6275,19068.5419,239.6275,19068.5419,239.6275,19068.5419,239.6275,28.6636,15.0861,0.2898,750.0342,394.7549,7.5838,88.7605,100.2125,126.1664,1.5652,0.0000,0.7781,0.7680,0.0000,1.7626,2.1583,,,5.4669,0.0127,0.0000,0.0000,2.7480,1.9077,0.0000,4.7358,6.0983,0.0000,74.8964,28.8515,-0.1162,0.0000,0.5292,-0.5126,3.9596,3.8407,90.7215,86.2109,1.0000,1.0000,1170.1221,1670.9842,58.0000,1.4783,3.3722,1.4835,2.0646,2.7952,0.0000,0.1340,0.1287,0.0362,0.0120,0.1443,0.5799,0.2036,0.6447,0.8732,2.0410,92.4073
+42-1,VEH-N.A.,LongHaul.vdri,Success,Generic Vendor,N/A,N.A.,4,8200.0000,14000.0000,29700.0000,,,Diesel CI,325.0320,600.0000,1736.0000,12742.0000,1,1,1,0,1,1,5.9500,7.4500,0.00570114533110072,0.00588600049921205,0.4922,1,1,2,Generic Vendor,N.A.,AMT,14.9300,1.0000,n.a.,n.a.,Generic Vendor,N.A.,Secondary Retarder,n.a.,n.a.,n.a.,Generic Vendor,N.A.,2.6400,Fixed displacement,Crankshaft mounted - Electronically controlled visco clutch,None,Small,Standard technology,98.9000,4568.3181,100.1850,78.9494,-2.5494,22767.5555,288.3816,22767.5555,288.3816,22767.5555,288.3816,22767.5555,288.3816,22767.5555,288.3816,34.4954,2.4640,0.3488,902.6344,64.4739,9.1267,107.3685,119.9830,152.2557,2.4232,0.0000,0.7842,0.7741,0.0000,1.7766,2.1754,,,5.5103,0.0209,0.0000,0.0000,3.5550,1.9037,0.0000,5.8018,12.8119,0.0000,74.2201,46.2049,-0.1961,0.0000,0.4666,-0.4086,4.1011,4.6559,89.7764,87.5000,1.0000,1.0000,1180.4086,1687.4682,64.0000,1.4666,9.9905,2.4334,1.5952,2.9716,0.0000,0.1330,0.1278,0.0240,0.1546,0.1718,0.6069,0.3149,1.4593,1.8392,2.3972,89.7997
+42-2,VEH-N.A.,RegionalDelivery.vdri,Success,Generic Vendor,N/A,N.A.,4,8200.0000,900.0000,11200.0000,,,Diesel CI,325.0320,600.0000,1736.0000,12742.0000,1,1,1,0,1,1,5.9500,5.9500,0.00599643090612968,0.00599643090612968,0.4922,1,1,0,Generic Vendor,N.A.,AMT,14.9300,1.0000,n.a.,n.a.,Generic Vendor,N.A.,Secondary Retarder,n.a.,n.a.,n.a.,Generic Vendor,N.A.,2.6400,Fixed displacement,Crankshaft mounted - Electronically controlled visco clutch,None,Small,Standard technology,49.4000,5940.3883,100.0000,60.6021,7.2888,10893.1112,179.7481,10893.1112,179.7481,10893.1112,179.7481,10893.1112,179.7481,10893.1112,179.7481,21.5010,23.8900,0.4352,562.6115,625.1239,11.3889,46.3504,54.3892,89.7481,3.0640,0.0000,1.1072,0.9406,0.0000,2.1451,2.3573,,,6.5502,0.0271,0.0000,0.0000,2.2559,1.8465,0.0000,3.3369,6.2513,0.0000,47.9002,18.2921,0.2239,0.0000,0.6381,-0.6019,8.2224,8.3703,70.8492,86.5000,1.0000,1.0000,1016.1122,1734.2775,220.0000,12.5581,2.0973,2.6946,5.1075,16.1639,0.0000,0.2974,0.2665,0.0509,0.2678,0.4948,0.3932,1.7534,2.5396,3.6913,4.5862,69.4951
+42-3,VEH-N.A.,RegionalDelivery.vdri,Success,Generic Vendor,N/A,N.A.,4,8200.0000,4400.0000,14700.0000,,,Diesel CI,325.0320,600.0000,1736.0000,12742.0000,1,1,1,0,1,1,5.9500,5.9500,0.00583556489017652,0.00583556489017652,0.4922,1,1,0,Generic Vendor,N.A.,AMT,14.9300,1.0000,n.a.,n.a.,Generic Vendor,N.A.,Secondary Retarder,n.a.,n.a.,n.a.,Generic Vendor,N.A.,2.6400,Fixed displacement,Crankshaft mounted - Electronically controlled visco clutch,None,Small,Standard technology,49.4000,5943.9979,100.0000,60.5653,7.2888,11945.9903,197.2415,11945.9903,197.2415,11945.9903,197.2415,11945.9903,197.2415,11945.9903,197.2415,23.5935,5.3622,0.4776,617.3659,140.3104,12.4973,52.0824,60.4669,99.8376,4.1559,0.0000,1.1079,0.9411,0.0000,2.1464,2.3587,,,6.5542,0.0353,0.0000,0.0000,2.6645,1.8462,0.0000,3.7862,9.2731,0.0000,47.8640,23.3643,0.2939,0.0000,0.6003,-0.5686,8.7044,8.8117,69.9334,86.5000,1.0000,1.0000,1028.2334,1809.7009,227.0000,12.5505,2.8637,3.8734,4.8641,16.2821,0.0000,0.2972,0.2665,0.0415,0.3315,0.4404,0.5314,2.2291,2.8237,3.5649,5.7655,67.4263
+42-4,VEH-N.A.,MunicipalUtility.vdri,Success,Generic Vendor,N/A,N.A.,4,8200.0000,600.0000,14800.0000,,,Diesel CI,325.0320,600.0000,1736.0000,12742.0000,1,1,1,0,1,1,5.9500,5.9500,0.00583160990067372,0.00583160990067372,0.4922,1,1,0,Generic Vendor,N.A.,AMT,14.9300,1.0000,n.a.,n.a.,Generic Vendor,N.A.,Secondary Retarder,n.a.,n.a.,n.a.,Generic Vendor,N.A.,2.6400,Fixed displacement,Crankshaft mounted - Electronically controlled visco clutch,None,Small,Standard technology,49.4000,4431.5810,11.2400,9.1308,0.8060,6039.1914,661.4068,6039.1914,661.4068,6039.1914,661.4068,6039.1914,661.4068,6039.1914,661.4068,79.1156,131.8594,1.6015,2070.2034,3450.3389,41.9070,9.3419,25.3377,31.1905,2.1052,0.0000,0.6967,0.6278,0.0000,1.4772,1.7586,0.0615,12.3135,4.5603,0.2973,0.0000,0.0000,0.6598,0.1869,0.0000,0.5201,5.1705,0.0000,2.6404,2.6425,0.0325,0.0000,0.8315,-0.7912,12.6069,11.8880,19.5431,85.8000,1.0000,1.0000,931.3992,1815.3191,2849.0000,55.9620,0.6944,1.4816,10.1576,70.5773,0.0000,3.4950,4.1792,1.1425,0.4786,7.8758,2.1020,0.7837,1.1939,1.6415,1.3904,5.1401
+42-5,VEH-N.A.,MunicipalUtility.vdri,Success,Generic Vendor,N/A,N.A.,4,8200.0000,3000.0000,17200.0000,,,Diesel CI,325.0320,600.0000,1736.0000,12742.0000,1,1,1,0,1,1,5.9500,5.9500,0.00574462642286424,0.00574462642286424,0.4922,1,1,0,Generic Vendor,N.A.,AMT,14.9300,1.0000,n.a.,n.a.,Generic Vendor,N.A.,Secondary Retarder,n.a.,n.a.,n.a.,Generic Vendor,N.A.,2.6400,Fixed displacement,Crankshaft mounted - Electronically controlled visco clutch,None,Small,Standard technology,49.4000,4430.0363,11.2400,9.1340,0.8060,6265.5567,685.9590,6265.5567,685.9590,6265.5567,685.9590,6265.5567,685.9590,6265.5567,685.9590,82.0525,27.3508,1.6610,2147.0516,715.6839,43.4626,10.4799,26.6036,32.7375,2.1380,0.0000,0.6965,0.6276,0.0000,1.4767,1.7580,0.0615,12.3159,4.5587,0.3440,0.0000,0.0000,0.7168,0.1869,0.0000,0.5800,6.1321,0.0000,2.6405,3.0252,0.0378,0.0000,0.8215,-0.7885,12.7378,11.8973,19.3834,85.8000,1.0000,1.0000,932.2609,1807.1046,2848.0000,55.9815,1.0704,1.5759,10.1515,70.5670,0.0000,3.4963,4.1822,1.1556,0.4542,7.8879,1.9207,1.1581,0.9477,1.7820,1.4051,5.0433
+43-0,VEH-N.A.,LongHaul.vdri,Success,Generic Vendor,N/A,N.A.,9,9300.0000,2600.0000,19500.0000,,,Diesel CI,325.0320,600.0000,1736.0000,12742.0000,1,1,1,0,1,1,6.0500,7.5500,0.00598860418058607,0.00600280006770382,0.4922,1,2,2,Generic Vendor,N.A.,AMT,14.9300,1.0000,n.a.,n.a.,Generic Vendor,N.A.,Secondary Retarder,n.a.,n.a.,n.a.,Generic Vendor,N.A.,2.6400,Fixed displacement,Crankshaft mounted - Electronically controlled visco clutch,None,Small,Standard technology,101.4000,4537.8299,100.1850,79.4798,-2.5494,19814.1280,249.2975,19814.1280,249.2975,19814.1280,249.2975,19814.1280,249.2975,19814.1280,249.2975,29.8203,11.4693,0.2941,780.3013,300.1159,7.6953,92.5224,104.3144,131.4892,1.7209,0.0000,0.7790,0.9076,0.0000,1.7647,2.1609,,,5.6121,0.0141,0.0000,0.0000,2.8942,1.9070,0.0000,4.9467,6.9993,0.0000,75.6574,31.8662,-0.1288,0.0000,0.5061,-0.5011,4.1092,3.8121,90.6022,86.7632,1.0000,1.0000,1170.2843,1670.3552,58.0000,1.4765,4.1283,1.7816,1.8903,2.7972,0.0000,0.1339,0.1285,0.0121,0.1248,0.1027,0.5414,0.3184,0.4170,1.1769,2.2536,91.9935
+43-1,VEH-N.A.,LongHaul.vdri,Success,Generic Vendor,N/A,N.A.,9,9300.0000,19300.0000,36200.0000,,,Diesel CI,325.0320,600.0000,1736.0000,12742.0000,1,1,1,0,1,1,6.0500,7.5500,0.00562934950544508,0.00564269378529993,0.4922,1,2,2,Generic Vendor,N.A.,AMT,14.9300,1.0000,n.a.,n.a.,Generic Vendor,N.A.,Secondary Retarder,n.a.,n.a.,n.a.,Generic Vendor,N.A.,2.6400,Fixed displacement,Crankshaft mounted - Electronically controlled visco clutch,None,Small,Standard technology,101.4000,4604.5393,100.1850,78.3284,-2.5494,24896.5850,317.8489,24896.5850,317.8489,24896.5850,317.8489,24896.5850,317.8489,24896.5850,317.8489,38.0202,1.9700,0.3750,994.8672,51.5475,9.8113,117.8208,131.3453,167.9957,2.9437,0.0000,0.7904,0.9209,0.0000,1.7907,2.1926,,,5.6946,0.0255,0.0000,0.0000,4.1552,1.9001,0.0000,6.4286,16.9810,0.0000,74.4980,55.6079,-0.2390,0.0000,0.3861,-0.4153,5.2656,4.6746,88.6047,87.5000,1.0000,1.0000,1188.9185,1828.9878,68.0000,1.4551,15.9805,2.4761,1.6033,3.0172,0.0000,0.1319,0.1269,0.0239,0.1889,0.2101,0.5700,1.0280,1.9134,1.6159,4.9804,86.1934
+43-2,VEH-N.A.,LongHaulEMS.vdri,Success,Generic Vendor,N/A,N.A.,9,9300.0000,3500.0000,25000.0000,,,Diesel CI,325.0320,600.0000,1736.0000,12742.0000,1,1,1,0,1,1,6.0500,8.1500,0.00607476949466243,0.00605342070986775,0.4922,1,2,5,Generic Vendor,N.A.,AMT,14.9300,1.0000,n.a.,n.a.,Generic Vendor,N.A.,Secondary Retarder,n.a.,n.a.,n.a.,Generic Vendor,N.A.,2.6400,Fixed displacement,Crankshaft mounted - Electronically controlled visco clutch,None,Small,Standard technology,142.9000,4555.8300,100.1850,79.1658,-2.5494,22475.8450,283.9085,22475.8450,283.9085,22475.8450,283.9085,22475.8450,283.9085,22475.8450,283.9085,33.9603,9.7030,0.2377,888.6335,253.8953,6.2186,106.0611,118.7758,150.3118,2.0493,0.0000,0.7821,0.9112,0.0000,1.7717,2.1694,,,5.6344,0.0182,0.0000,0.0000,3.4123,1.9050,0.0000,5.6947,9.7383,0.0000,80.5827,41.4419,-0.1651,0.0000,0.4534,-0.4260,4.4122,4.3985,89.7186,87.5000,1.0000,1.0000,1176.0582,1674.1731,62.0000,1.4706,6.8658,2.2968,1.6060,2.9313,0.0000,0.1333,0.1281,0.0120,0.1789,0.2074,0.4302,0.3740,0.3792,2.4203,2.3361,90.4690
+43-3,VEH-N.A.,LongHaulEMS.vdri,Success,Generic Vendor,N/A,N.A.,9,9300.0000,26500.0000,48000.0000,,,Diesel CI,325.0320,600.0000,1736.0000,12742.0000,1,1,1,0,1,1,6.0500,8.1500,0.00569114538992717,0.00567114478936586,0.4922,1,2,5,Generic Vendor,N.A.,AMT,14.9300,1.0000,n.a.,n.a.,Generic Vendor,N.A.,Secondary Retarder,n.a.,n.a.,n.a.,Generic Vendor,N.A.,2.6400,Fixed displacement,Crankshaft mounted - Electronically controlled visco clutch,None,Small,Standard technology,142.9000,4699.6936,100.1850,76.7425,-2.5494,29133.6550,379.6289,29133.6550,379.6289,29133.6550,379.6289,29133.6550,379.6289,29133.6550,379.6289,45.4102,1.7136,0.3178,1188.2386,44.8392,8.3152,138.3936,153.5337,200.4337,3.3732,0.0000,0.8068,0.9399,0.0000,1.8277,2.2379,,,5.8123,0.0304,0.0000,0.0000,5.3114,1.8905,0.0000,7.6966,24.1008,0.0000,77.9918,74.5436,-0.3169,0.0000,0.3347,-0.3988,6.2762,5.1646,87.1336,87.5000,1.0000,1.0000,1206.9843,1849.1045,79.0000,1.4256,27.6602,2.4229,1.5928,3.2497,0.0323,0.0969,0.1249,0.1519,0.1469,0.2039,1.6923,1.6274,1.4779,3.3567,8.2058,79.6333
+43-5,VEH-N.A.,RegionalDelivery.vdri,Success,Generic Vendor,N/A,N.A.,9,9300.0000,7100.0000,18600.0000,,,Diesel CI,325.0320,600.0000,1736.0000,12742.0000,1,1,1,0,1,1,6.0500,6.0500,0.00570902286189488,0.00570902286189488,0.4922,1,2,0,Generic Vendor,N.A.,AMT,14.9300,1.0000,n.a.,n.a.,Generic Vendor,N.A.,Secondary Retarder,n.a.,n.a.,n.a.,Generic Vendor,N.A.,2.6400,Fixed displacement,Crankshaft mounted - Electronically controlled visco clutch,None,Small,Standard technology,51.9000,5947.3506,100.0000,60.5312,7.2888,13262.8484,219.1078,13262.8484,219.1078,13262.8484,219.1078,13262.8484,219.1078,13262.8484,219.1078,26.2091,3.6914,0.5050,685.8074,96.5926,13.2140,59.0163,67.8158,112.0345,5.0964,0.0000,1.1085,0.9747,0.0000,2.1477,2.3601,,,6.5909,0.0446,0.0000,0.0000,3.0902,1.8461,0.0000,4.3127,13.1493,0.0000,48.6105,28.9219,0.3719,0.0000,0.5632,-0.5389,9.1788,9.1712,69.1066,87.5000,1.0000,1.0000,1038.2784,1815.7022,232.0000,12.5434,5.0690,5.5094,4.6277,16.3831,0.0000,0.2970,0.2665,0.0321,0.3132,0.4492,0.6520,2.3933,2.8945,4.2389,5.6346,66.4457
+43-6,VEH-N.A.,RegionalDeliveryEMS.vdri,Success,Generic Vendor,N/A,N.A.,9,9300.0000,3500.0000,25000.0000,,,Diesel CI,325.0320,600.0000,1736.0000,12742.0000,1,1,1,0,1,1,6.0500,8.1500,0.00605777080956315,0.0059892022564368,0.4922,1,2,5,Generic Vendor,N.A.,AMT,14.9300,1.0000,n.a.,n.a.,Generic Vendor,N.A.,Secondary Retarder,n.a.,n.a.,n.a.,Generic Vendor,N.A.,2.6400,Fixed displacement,Crankshaft mounted - Electronically controlled visco clutch,None,Small,Standard technology,142.9000,5972.7402,100.0000,60.2738,7.2888,17867.2593,296.4347,17867.2593,296.4347,17867.2593,296.4347,17867.2593,296.4347,17867.2593,296.4347,35.4587,10.1311,0.2481,927.8407,265.0973,6.4929,82.3115,92.8689,154.0783,5.3624,0.0000,1.1133,0.9789,0.0000,2.1568,2.3701,,,6.6191,0.0613,0.0000,0.0000,4.2703,1.8434,0.0000,5.9451,18.4618,0.0000,69.7669,41.2482,0.4998,0.0000,0.5007,-0.5142,10.0814,9.4231,68.0054,87.5000,1.0000,1.0000,1057.5929,1826.6984,238.0000,12.4901,13.2298,5.4445,4.4074,16.4458,0.0000,0.2958,0.2654,0.0931,0.4546,0.4749,0.5195,2.9810,3.2348,5.5516,6.8509,62.8327
+43-7,VEH-N.A.,RegionalDeliveryEMS.vdri,Success,Generic Vendor,N/A,N.A.,9,9300.0000,17500.0000,39000.0000,,,Diesel CI,325.0320,600.0000,1736.0000,12742.0000,1,1,1,0,1,1,6.0500,8.1500,0.00579429201178235,0.00572870580323641,0.4922,1,2,5,Generic Vendor,N.A.,AMT,14.9300,1.0000,n.a.,n.a.,Generic Vendor,N.A.,Secondary Retarder,n.a.,n.a.,n.a.,Generic Vendor,N.A.,2.6400,Fixed displacement,Crankshaft mounted - Electronically controlled visco clutch,None,Small,Standard technology,142.9000,6073.8874,100.0000,59.2701,7.2888,22109.5910,373.0310,22109.5910,373.0310,22109.5910,373.0310,22109.5910,373.0310,22109.5910,373.0310,44.6209,2.5498,0.3123,1167.5871,66.7193,8.1707,103.0474,115.5085,194.8849,6.8906,0.0000,1.1321,0.9954,0.0000,2.1933,2.4103,,,6.7312,0.0939,0.0000,0.0000,6.3196,1.8343,0.0000,7.5724,34.9742,0.0000,68.1406,61.5484,0.7797,0.0000,0.3833,-0.4466,12.7719,10.6716,64.2744,87.5000,1.0000,1.0000,1102.1764,1832.7412,252.0000,12.2821,23.3725,6.4035,4.1234,16.4476,0.0000,0.2909,0.2539,0.1280,0.5446,0.5629,1.0674,3.8735,5.4493,6.3466,13.5847,51.4507
+43-8,VEH-N.A.,MunicipalUtility.vdri,Success,Generic Vendor,N/A,N.A.,9,9300.0000,1200.0000,17250.0000,,,Diesel CI,325.0320,600.0000,1736.0000,12742.0000,1,1,1,0,1,1,6.0500,6.0500,0.00575220250166232,0.00575220250166232,0.4922,1,2,0,Generic Vendor,N.A.,AMT,14.9300,1.0000,n.a.,n.a.,Generic Vendor,N.A.,Secondary Retarder,n.a.,n.a.,n.a.,Generic Vendor,N.A.,2.6400,Fixed displacement,Crankshaft mounted - Electronically controlled visco clutch,None,Small,Standard technology,51.9000,4428.5849,11.2400,9.1370,0.8060,6283.7997,687.7308,6283.7997,687.7308,6283.7997,687.7308,6283.7997,687.7308,6283.7997,687.7308,82.2645,68.5537,1.5851,2152.5975,1793.8313,41.4759,10.5724,26.6977,32.8426,2.1237,0.0000,0.6963,0.6274,0.0000,1.4762,1.7574,0.0615,12.3161,4.5572,0.3473,0.0000,0.0000,0.7216,0.1869,0.0000,0.5846,6.1862,0.0000,2.6816,3.0380,0.0379,0.0000,0.8226,-0.7973,12.6981,11.8028,19.4992,85.8000,1.0000,1.0000,932.3776,1806.5987,2844.0000,55.9998,1.0475,1.5910,10.1544,70.5006,0.0000,3.4974,4.1629,1.1241,0.4220,8.0110,1.9921,1.1113,0.9815,1.8166,1.3604,5.0201
+43-9,VEH-N.A.,MunicipalUtility.vdri,Success,Generic Vendor,N/A,N.A.,9,9300.0000,6000.0000,22050.0000,,,Diesel CI,325.0320,600.0000,1736.0000,12742.0000,1,1,1,0,1,1,6.0500,6.0500,0.00561270500773842,0.00561270500773842,0.4922,1,2,0,Generic Vendor,N.A.,AMT,14.9300,1.0000,n.a.,n.a.,Generic Vendor,N.A.,Secondary Retarder,n.a.,n.a.,n.a.,Generic Vendor,N.A.,2.6400,Fixed displacement,Crankshaft mounted - Electronically controlled visco clutch,None,Small,Standard technology,51.9000,4430.2341,11.2400,9.1336,0.8060,6740.7323,738.0146,6740.7323,738.0146,6740.7323,738.0146,6740.7323,738.0146,6740.7323,738.0146,88.2793,14.7132,1.7009,2309.9857,384.9976,44.5084,12.7791,29.1696,35.8967,2.2594,0.0000,0.6965,0.6276,0.0000,1.4767,1.7580,0.0615,12.3522,4.5589,0.4405,0.0000,0.0000,0.8574,0.1868,0.0000,0.7052,7.9736,0.0000,2.6635,3.7892,0.0484,0.0000,0.8096,-0.7990,12.8222,11.7726,19.4263,85.8000,1.0000,1.0000,938.5373,1788.9699,2840.0000,55.9790,1.9612,1.7864,10.1381,70.3739,0.0000,3.4961,4.1634,1.1242,0.4221,7.9960,2.0321,1.1612,1.4885,1.9237,1.9183,3.9007
+44-0,VEH-N.A.,LongHaul.vdri,Success,Generic Vendor,N/A,N.A.,11,10100.0000,2600.0000,20300.0000,,,Diesel CI,350.1420,600.0000,1736.0000,12777.0000,1,1,1,0,1,1,8.0800,9.5800,0.00695598382811908,0.00750395855253502,0.5223,1,2,2,Generic Vendor,N.A.,AMT,14.9300,1.0000,n.a.,n.a.,n.a.,n.a.,None,n.a.,n.a.,n.a.,Generic Vendor,N.A.,3.5000,Fixed displacement,Crankshaft mounted - Electronically controlled visco clutch,None,Small,Standard technology,101.4000,4532.3538,100.1850,79.5759,-2.5494,24890.3813,312.7881,24890.3813,312.7881,24890.3813,312.7881,24890.3813,312.7881,24890.3813,312.7881,37.4148,14.3903,0.3690,979.0266,376.5487,9.6551,112.1560,130.4436,164.2269,2.0173,0.0000,0.7781,0.9065,0.0000,1.7626,2.1583,,,5.6054,0.0168,0.0000,0.0000,3.5524,0.0000,0.0000,14.1611,6.7961,0.0000,93.6796,38.5322,-0.1340,0.0000,0.5112,-0.5480,4.1363,3.6106,90.7748,85.0000,1.0000,1.0000,1454.4014,1830.1038,58.0000,1.4783,3.4109,0.6985,2.3924,2.7734,0.0000,0.0000,0.1340,0.1509,0.0726,0.2548,0.1496,0.4001,0.5023,0.6450,2.0987,92.8185
+44-1,VEH-N.A.,LongHaul.vdri,Success,Generic Vendor,N/A,N.A.,11,10100.0000,19300.0000,37000.0000,,,Diesel CI,350.1420,600.0000,1736.0000,12777.0000,1,1,1,0,1,1,8.0800,9.5800,0.00655070428927848,0.00706675212181324,0.5223,1,2,2,Generic Vendor,N.A.,AMT,14.9300,1.0000,n.a.,n.a.,n.a.,n.a.,None,n.a.,n.a.,n.a.,Generic Vendor,N.A.,3.5000,Fixed displacement,Crankshaft mounted - Electronically controlled visco clutch,None,Small,Standard technology,101.4000,4585.8151,100.1850,78.6482,-2.5494,30679.6570,390.0873,30679.6570,390.0873,30679.6570,390.0873,30679.6570,390.0873,30679.6570,390.0873,46.6612,2.4177,0.4602,1220.9733,63.2629,12.0412,139.6979,161.4635,205.6783,3.4582,0.0000,0.7872,0.9172,0.0000,1.7834,2.1837,,,5.6715,0.0299,0.0000,0.0000,4.7941,0.0000,0.0000,17.9474,15.4217,0.0000,92.4606,66.1393,-0.2443,0.0000,0.4522,-0.4286,4.1882,4.3757,89.9751,87.5000,1.0000,1.0000,1461.7219,1855.0680,62.0000,1.4610,12.4655,2.0587,1.6963,2.9082,0.0000,0.0000,0.1325,0.1393,0.1424,0.2296,0.2148,0.4499,1.7012,1.6314,3.0085,89.4422
+44-2,VEH-N.A.,LongHaulEMS.vdri,Success,Generic Vendor,N/A,N.A.,11,10100.0000,3500.0000,25800.0000,,,Diesel CI,350.1420,600.0000,1736.0000,12777.0000,1,1,1,0,1,1,8.0800,10.1800,0.00673178091103099,0.00753686329836532,0.5223,1,2,5,Generic Vendor,N.A.,AMT,14.9300,1.0000,n.a.,n.a.,n.a.,n.a.,None,n.a.,n.a.,n.a.,Generic Vendor,N.A.,3.5000,Fixed displacement,Crankshaft mounted - Electronically controlled visco clutch,None,Small,Standard technology,142.9000,4545.8886,100.1850,79.3389,-2.5494,27566.4749,347.4520,27566.4749,347.4520,27566.4749,347.4520,27566.4749,347.4520,27566.4749,347.4520,41.5612,11.8746,0.2908,1087.5248,310.7214,7.6104,125.3048,145.2397,183.4009,2.5400,0.0000,0.7804,0.9092,0.0000,1.7678,2.1647,,,5.6221,0.0214,0.0000,0.0000,4.0641,0.0000,0.0000,15.8981,9.4159,0.0000,98.6161,47.3936,-0.1704,0.0000,0.4420,-0.5071,4.6824,3.7179,90.1258,86.5000,1.0000,1.0000,1455.9205,1825.7742,59.0000,1.4739,5.2618,1.1865,2.0484,2.8437,0.0000,0.0000,0.1336,0.1404,0.1024,0.2555,0.1707,0.4205,0.5662,0.9161,2.6794,91.7715
+44-3,VEH-N.A.,LongHaulEMS.vdri,Success,Generic Vendor,N/A,N.A.,11,10100.0000,26500.0000,48800.0000,,,Diesel CI,350.1420,600.0000,1736.0000,12777.0000,1,1,1,0,1,1,8.0800,10.1800,0.00631611402316013,0.0070714850347314,0.5223,1,2,5,Generic Vendor,N.A.,AMT,14.9300,1.0000,n.a.,n.a.,n.a.,n.a.,None,n.a.,n.a.,n.a.,Generic Vendor,N.A.,3.5000,Fixed displacement,Crankshaft mounted - Electronically controlled visco clutch,None,Small,Standard technology,142.9000,4664.6306,100.1850,77.3193,-2.5494,35033.9254,453.1071,35033.9254,453.1071,35033.9254,453.1071,35033.9254,453.1071,35033.9254,453.1071,54.1994,2.0453,0.3793,1418.2252,53.5179,9.9246,159.9780,184.5568,239.1359,4.2773,0.0000,0.8008,0.9329,0.0000,1.8140,2.2213,,,5.7690,0.0351,0.0000,0.0000,5.9688,0.0000,0.0000,20.9284,22.4327,0.0000,95.9383,84.1084,-0.3222,0.0000,0.3616,-0.4005,5.4728,4.9727,88.1181,87.5000,1.0000,1.0000,1468.2162,1855.6806,69.0000,1.4363,22.7967,2.2015,1.6335,3.0177,0.0000,0.0326,0.1263,0.1288,0.1316,0.2700,0.2206,1.6856,2.0099,1.4215,6.9510,84.0044
+44-4,VEH-N.A.,RegionalDelivery.vdri,Success,Generic Vendor,N/A,N.A.,11,10100.0000,1400.0000,13700.0000,,,Diesel CI,350.1420,600.0000,1736.0000,12777.0000,1,1,1,0,1,1,8.0800,8.0800,0.00741480904825027,0.00741480904825027,0.5223,1,2,0,Generic Vendor,N.A.,AMT,14.9300,1.0000,n.a.,n.a.,n.a.,n.a.,None,n.a.,n.a.,n.a.,Generic Vendor,N.A.,3.5000,Fixed displacement,Crankshaft mounted - Electronically controlled visco clutch,None,Small,Standard technology,51.9000,5944.2919,100.0000,60.5623,7.2888,14989.5968,247.5071,14989.5968,247.5071,14989.5968,247.5071,14989.5968,247.5071,14989.5968,247.5071,29.6061,21.1472,0.5704,774.6971,553.3551,14.9267,62.7441,74.8704,123.6253,3.8801,0.0000,1.1079,0.9742,0.0000,2.1465,2.3588,,,6.5875,0.0381,0.0000,0.0000,3.0518,0.0000,0.0000,10.5934,7.4949,0.0000,64.0380,27.6677,0.2739,0.0000,0.6460,-0.6203,8.2279,8.2043,71.0180,85.0000,1.0000,1.0000,1239.3197,1841.0354,227.0000,12.5499,1.6418,1.8636,5.4173,16.2913,0.0000,0.0000,0.2972,0.3278,0.1680,0.4263,0.4546,0.8299,3.5461,2.5369,3.6076,71.5144
+44-5,VEH-N.A.,RegionalDelivery.vdri,Success,Generic Vendor,N/A,N.A.,11,10100.0000,7100.0000,19400.0000,,,Diesel CI,350.1420,600.0000,1736.0000,12777.0000,1,1,1,0,1,1,8.0800,8.0800,0.00716129979308779,0.00716129979308779,0.5223,1,2,0,Generic Vendor,N.A.,AMT,14.9300,1.0000,n.a.,n.a.,n.a.,n.a.,None,n.a.,n.a.,n.a.,Generic Vendor,N.A.,3.5000,Fixed displacement,Crankshaft mounted - Electronically controlled visco clutch,None,Small,Standard technology,51.9000,5950.7286,100.0000,60.4968,7.2888,17032.3506,281.5414,17032.3506,281.5414,17032.3506,281.5414,17032.3506,281.5414,17032.3506,281.5414,33.6772,4.7433,0.6489,881.2245,124.1161,16.9793,73.0385,86.5043,142.9898,5.6542,0.0000,1.1091,0.9753,0.0000,2.1489,2.3614,,,6.5947,0.0531,0.0000,0.0000,3.7739,0.0000,0.0000,12.4642,12.2246,0.0000,63.9977,37.8395,0.3879,0.0000,0.5893,-0.5825,9.0189,8.7909,69.6539,86.5000,1.0000,1.0000,1252.4623,1846.4719,244.0000,12.5363,3.7876,2.7100,5.2019,16.5577,0.0000,0.0000,0.2969,0.3276,0.1361,0.5107,0.5047,1.2270,3.7062,2.7477,5.1677,68.8177
+44-7,VEH-N.A.,RegionalDeliveryEMS.vdri,Success,Generic Vendor,N/A,N.A.,11,10100.0000,17500.0000,39800.0000,,,Diesel CI,350.1420,600.0000,1736.0000,12777.0000,1,1,1,0,1,1,8.0800,10.1800,0.00645342872603973,0.0071294858237808,0.5223,1,2,5,Generic Vendor,N.A.,AMT,14.9300,1.0000,n.a.,n.a.,n.a.,n.a.,None,n.a.,n.a.,n.a.,Generic Vendor,N.A.,3.5000,Fixed displacement,Crankshaft mounted - Electronically controlled visco clutch,None,Small,Standard technology,142.9000,6045.8318,100.0000,59.5452,7.2888,26317.4552,441.9747,26317.4552,441.9747,26317.4552,441.9747,26317.4552,441.9747,26317.4552,441.9747,52.8678,3.0210,0.3700,1383.3810,79.0503,9.6808,117.2237,136.7416,229.6436,9.0707,0.0000,1.1269,0.9908,0.0000,2.1832,2.3991,,,6.7001,0.1082,0.0000,0.0000,6.8360,0.0000,0.0000,20.3249,32.2712,0.0000,83.5807,69.9561,0.7957,0.0000,0.4068,-0.5047,11.9422,9.3688,66.3499,87.5000,1.0000,1.0000,1321.6014,1855.1107,252.0000,12.3391,21.4362,4.8426,4.4129,16.4937,0.0000,0.0000,0.2922,0.3246,0.3284,0.5143,0.7355,1.8514,5.1782,4.9836,10.9975,58.3004
+44-8,VEH-N.A.,MunicipalUtility.vdri,Success,Generic Vendor,N/A,N.A.,11,10100.0000,1200.0000,18050.0000,,,Diesel CI,350.1420,600.0000,1736.0000,12777.0000,1,1,1,0,1,1,8.0800,8.0800,0.00721313910009327,0.00721313910009327,0.5223,1,2,0,Generic Vendor,N.A.,AMT,14.9300,1.0000,n.a.,n.a.,n.a.,n.a.,None,n.a.,n.a.,n.a.,Generic Vendor,N.A.,3.5000,Fixed displacement,Crankshaft mounted - Electronically controlled visco clutch,None,Small,Standard technology,51.9000,4438.1564,11.2400,9.1173,0.8060,7014.3790,769.3483,7014.3790,769.3483,7014.3790,769.3483,7014.3790,769.3483,7014.3790,769.3483,92.0273,76.6894,1.7732,2408.0603,2006.7169,46.3981,12.2151,29.4221,36.2722,2.4129,0.0000,0.6978,0.6287,0.0000,1.4794,1.7612,0.0616,12.5382,4.5671,0.4120,0.0000,0.0000,0.8388,0.0000,0.0000,1.5915,6.2935,0.0000,3.5305,3.9863,0.0396,0.0000,0.8004,-0.7891,13.3397,11.9450,18.8362,85.8000,1.0000,1.0000,968.9770,1826.4173,2907.0000,55.8791,0.6458,1.1803,10.2634,72.1412,0.0000,0.0000,3.4899,4.1824,3.3038,2.4661,3.6759,0.8342,1.7088,0.8361,1.1980,6.1637
+44-9,VEH-N.A.,MunicipalUtility.vdri,Success,Generic Vendor,N/A,N.A.,11,10100.0000,6000.0000,22850.0000,,,Diesel CI,350.1420,600.0000,1736.0000,12777.0000,1,1,1,0,1,1,8.0800,8.0800,0.00704503909539707,0.00704503909539707,0.5223,1,2,0,Generic Vendor,N.A.,AMT,14.9300,1.0000,n.a.,n.a.,n.a.,n.a.,None,n.a.,n.a.,n.a.,Generic Vendor,N.A.,3.5000,Fixed displacement,Crankshaft mounted - Electronically controlled visco clutch,None,Small,Standard technology,51.9000,4437.0030,11.2400,9.1197,0.8060,7541.3069,826.9277,7541.3069,826.9277,7541.3069,826.9277,7541.3069,826.9277,7541.3069,826.9277,98.9148,16.4858,1.9059,2588.2836,431.3806,49.8706,14.5782,32.2567,39.7564,2.5206,0.0000,0.6976,0.6286,0.0000,1.4790,1.7607,0.0616,12.5773,4.5659,0.5173,0.0000,0.0000,0.9754,0.0000,0.0000,1.8881,8.1480,0.0000,3.5233,4.9287,0.0502,0.0000,0.7843,-0.7881,13.5619,11.9445,18.6001,85.8000,1.0000,1.0000,973.9984,1830.2698,2907.0000,55.8936,1.4920,1.3436,10.2406,72.1320,0.0000,0.0000,3.4908,4.1854,3.3061,2.6922,3.6829,0.7553,1.7811,0.8826,1.2159,5.8757
+44-10,VEH-N.A.,Construction.vdri,Success,Generic Vendor,N/A,N.A.,11,10100.0000,1400.0000,13700.0000,,,Diesel CI,350.1420,600.0000,1736.0000,12777.0000,1,1,1,0,1,1,8.0800,8.0800,0.00741480904825027,0.00741480904825027,0.5223,1,2,0,Generic Vendor,N.A.,AMT,14.9300,1.0000,n.a.,n.a.,n.a.,n.a.,None,n.a.,n.a.,n.a.,Generic Vendor,N.A.,3.5000,Fixed displacement,Crankshaft mounted - Electronically controlled visco clutch,None,Small,Standard technology,0.0000,2427.8474,21.2190,31.4634,-0.1940,9446.8567,300.2488,9446.8567,300.2488,9446.8567,300.2488,9446.8567,300.2488,9446.8567,300.2488,35.9149,25.6535,,939.7788,671.2706,,35.8285,46.3270,31.2430,2.9087,0.0000,0.6994,0.5193,0.0000,0.8767,0.9634,,,3.0588,0.0726,0.0000,0.0000,1.0452,0.0000,0.0000,2.6146,8.0171,0.0000,7.6590,5.8693,-0.0022,0.0000,0.7518,-0.7196,19.6239,19.5878,34.0156,82.0000,1.0000,1.0000,943.3686,1770.6980,302.0000,26.7727,2.1807,4.9805,13.0002,39.0427,0.0000,0.0000,1.5861,1.3101,1.0734,1.7004,1.9399,1.8501,6.0619,3.3203,4.7354,37.3798
+44-11,VEH-N.A.,Construction.vdri,Success,Generic Vendor,N/A,N.A.,11,10100.0000,7100.0000,19400.0000,,,Diesel CI,350.1420,600.0000,1736.0000,12777.0000,1,1,1,0,1,1,8.0800,8.0800,0.00716129979308779,0.00716129979308779,0.5223,1,2,0,Generic Vendor,N.A.,AMT,14.9300,1.0000,n.a.,n.a.,n.a.,n.a.,None,n.a.,n.a.,n.a.,Generic Vendor,N.A.,3.5000,Fixed displacement,Crankshaft mounted - Electronically controlled visco clutch,None,Small,Standard technology,0.0000,2436.2385,21.2190,31.3551,-0.1940,11538.7100,368.0015,11538.7100,368.0015,11538.7100,368.0015,11538.7100,368.0015,11538.7100,368.0015,44.0193,6.1999,,1151.8448,162.2317,,45.4590,57.6468,39.0115,3.5227,0.0000,0.7018,0.5211,0.0000,0.8798,0.9668,,,3.0694,0.1013,0.0000,0.0000,1.4169,0.0000,0.0000,3.3168,12.0002,0.0000,7.5602,8.0271,-0.0030,0.0000,0.7059,-0.6852,20.8465,20.4683,32.0047,84.5000,1.0000,1.0000,991.1401,1855.9536,307.0000,26.6805,5.1623,7.2538,12.6317,39.2572,0.0000,0.0000,1.5807,1.3290,0.9380,2.2028,2.2270,2.4197,6.8483,3.9699,6.7307,32.4965
diff --git a/Documentation/VectoResults_3.2.0.925.xlsx b/Documentation/VectoResults_3.2.0.925.xlsx
new file mode 100644
index 0000000000000000000000000000000000000000..f94b55a54f9095f37c0273c4824293b31e27fb19
Binary files /dev/null and b/Documentation/VectoResults_3.2.0.925.xlsx differ
diff --git a/Documentation/XML/VectoOutputDeclaration.pdf b/Documentation/XML/VectoOutputDeclaration.pdf
index 6a44615d68d8a896a679e267f9683393d3f4a3ce..e687d784a0f25566e5fa2cdf2ed01be556355f34 100644
Binary files a/Documentation/XML/VectoOutputDeclaration.pdf and b/Documentation/XML/VectoOutputDeclaration.pdf differ
diff --git a/Documentation/XML/VectoOutputDeclaration.png b/Documentation/XML/VectoOutputDeclaration.png
new file mode 100644
index 0000000000000000000000000000000000000000..fa6d494682b47e5cfdeeb86dea98e1d48952c5f9
Binary files /dev/null and b/Documentation/XML/VectoOutputDeclaration.png differ
diff --git a/Documentation/XML/VectoOutputDeclarationCOC.png b/Documentation/XML/VectoOutputDeclarationCOC.png
index 10d52be36cc7ec9185d0042ecfd0eb0a9ba0b609..cee59cb6938e482e7699714535032a0d4700838a 100644
Binary files a/Documentation/XML/VectoOutputDeclarationCOC.png and b/Documentation/XML/VectoOutputDeclarationCOC.png differ
diff --git a/Documentation/XML/VectoOutputDeclarationCustomer.pdf b/Documentation/XML/VectoOutputDeclarationCustomer.pdf
index 2c5cb02ed23fc2eaf8e4602c6d9f7bac8a833c56..4dfb2d684faae74a2e3e1f66a15f65e3bc61613c 100644
Binary files a/Documentation/XML/VectoOutputDeclarationCustomer.pdf and b/Documentation/XML/VectoOutputDeclarationCustomer.pdf differ
diff --git a/Generic Vehicles/Engineering Mode/Class2_RigidTruck_4x2/Class2_RigidTruck.vveh b/Generic Vehicles/Engineering Mode/Class2_RigidTruck_4x2/Class2_RigidTruck.vveh
index 9d06b4875b5010db7a98338e2c3dbc83ac075756..cb4448a6ecd1d90ef27df749ee17b848b081b279 100644
--- a/Generic Vehicles/Engineering Mode/Class2_RigidTruck_4x2/Class2_RigidTruck.vveh	
+++ b/Generic Vehicles/Engineering Mode/Class2_RigidTruck_4x2/Class2_RigidTruck.vveh	
@@ -1,18 +1,18 @@
 {
   "Header": {
-    "CreatedBy": " ()",
-    "Date": "2016-10-13T08:54:12.1194612Z",
+    "CreatedBy": "",
+    "Date": "2017-07-13T14:14:29.3226830Z",
     "AppVersion": "3",
     "FileVersion": 7
   },
   "Body": {
     "SavedInDeclMode": false,
     "VehCat": "RigidTruck",
+    "LegislativeClass": "Unknown",
     "CurbWeight": 4670.0,
     "CurbWeightExtra": 1900.0,
     "Loading": 3020.0,
     "MassMax": 11.99,
-    "CdA": 4.83,
     "rdyn": 421.0,
     "CdCorrMode": "CdofVdecl",
     "CdCorrFile": "",
@@ -31,6 +31,8 @@
       "LossMap": "",
       "Cycle": ""
     },
+    "TorqueLimits": {},
+    "IdlingSpeed": 0.0,
     "AxleConfig": {
       "Type": "4x2",
       "Axles": [
@@ -40,7 +42,8 @@
           "AxleWeightShare": 0.2,
           "TwinTyres": false,
           "RRCISO": 0.0065,
-          "FzISO": 20850.0
+          "FzISO": 20850.0,
+          "Type": "VehicleNonDriven"
         },
         {
           "Inertia": 6.5,
@@ -48,7 +51,8 @@
           "AxleWeightShare": 0.3,
           "TwinTyres": true,
           "RRCISO": 0.0075,
-          "FzISO": 20850.0
+          "FzISO": 20850.0,
+          "Type": "VehicleDriven"
         },
         {
           "Inertia": 4.5,
@@ -56,7 +60,8 @@
           "AxleWeightShare": 0.25,
           "TwinTyres": false,
           "RRCISO": 0.0055,
-          "FzISO": 16680.0
+          "FzISO": 16680.0,
+          "Type": "VehicleNonDriven"
         },
         {
           "Inertia": 4.5,
@@ -64,9 +69,12 @@
           "AxleWeightShare": 0.25,
           "TwinTyres": false,
           "RRCISO": 0.0055,
-          "FzISO": 16680.0
+          "FzISO": 16680.0,
+          "Type": "VehicleNonDriven"
         }
       ]
-    }
+    },
+    "CdA": 4.83,
+    "VehicleHeight": 3.0
   }
 }
\ No newline at end of file
diff --git a/VECTO/GUI/GearboxForm.vb b/VECTO/GUI/GearboxForm.vb
index e7444abdc5ac65f7600b80ec8b50e088306854f6..5d331792aa53f5c59277d75f2caf9e5cfbe62bc5 100644
--- a/VECTO/GUI/GearboxForm.vb
+++ b/VECTO/GUI/GearboxForm.vb
@@ -102,7 +102,7 @@ Public Class GearboxForm
 		TbMinTimeBetweenShifts.Text = DeclarationData.Gearbox.MinTimeBetweenGearshifts.ToGUIFormat()
 		'cDeclaration.MinTimeBetweenGearshift(GStype)
 
-		TbTqResv.Text = (DeclarationData.Gearbox.TorqueReserve * 100).ToGUIFormat()									  ' cDeclaration.TqResv
+		TbTqResv.Text = (DeclarationData.Gearbox.TorqueReserve * 100).ToGUIFormat()										  ' cDeclaration.TqResv
 		TbTqResvStart.Text = (DeclarationData.Gearbox.TorqueReserveStart * 100).ToGUIFormat() 'cDeclaration.TqResvStart
 		TbStartSpeed.Text = DeclarationData.Gearbox.StartSpeed.ToGUIFormat()	'cDeclaration.StartSpeed
 		TbStartAcc.Text = DeclarationData.Gearbox.StartAcceleration.ToGUIFormat()	' cDeclaration.StartAcc
@@ -911,10 +911,11 @@ Public Class GearboxForm
 		If (rDyn.IsEqual(0)) Then
 			Return Nothing
 		End If
-		Dim shiftLines As ShiftPolygon = DeclarationData.Gearbox.ComputeShiftPolygon(CType(CbGStype.SelectedValue, GearboxType), gear - 1,
-																					engine.FullLoadCurves(CType(gear, UInteger)), gears, engine,
-																					Double.Parse(LvGears.Items(0).SubItems(GearboxTbl.Ratio).Text, CultureInfo.InvariantCulture),
-																					(rDyn))
+		Dim shiftLines As ShiftPolygon = DeclarationData.Gearbox.ComputeShiftPolygon(
+			CType(CbGStype.SelectedValue, GearboxType), gear - 1,
+			engine.FullLoadCurves(CType(gear, UInteger)), gears, engine,
+			Double.Parse(LvGears.Items(0).SubItems(GearboxTbl.Ratio).Text, CultureInfo.InvariantCulture),
+			(rDyn))
 		Return shiftLines
 	End Function
 
@@ -926,7 +927,10 @@ Public Class GearboxForm
 			If _
 				gbx(i).SubItems(GearboxTbl.Ratio).Text <> "" AndAlso Double.TryParse(gbx(i).SubItems(GearboxTbl.Ratio).Text, value) _
 				Then
-				Dim maxSpeed As PerSecond = If(String.IsNullOrWhiteSpace(gbx(i).SubItems(GearboxTbl.MaxSpeed).Text), Nothing, gbx(i).SubItems(GearboxTbl.MaxSpeed).Text.ToDouble().RPMtoRad())
+				Dim maxSpeed As PerSecond =
+						If _
+						(String.IsNullOrWhiteSpace(gbx(i).SubItems(GearboxTbl.MaxSpeed).Text), Nothing,
+						gbx(i).SubItems(GearboxTbl.MaxSpeed).Text.ToDouble().RPMtoRad())
 				retVal.Add(
 					New TransmissionInputData() _
 							With {.Ratio = value, .MaxInputSpeed = maxSpeed})
@@ -974,6 +978,10 @@ Public Class GearboxForm
 	End Sub
 
 	Private Sub btnExportXML_Click(sender As Object, e As EventArgs) Handles btnExportXML.Click
+		If Not Cfg.DeclMode Then
+			MsgBox("XML Export is only supported in Declaration Mode")
+			Exit Sub
+		End If
 		If Not FolderFileBrowser.OpenDialog("") Then
 			Exit Sub
 		End If
@@ -991,6 +999,10 @@ Public Class GearboxForm
 	End Sub
 
 	Private Sub btnExportAxlGearXML_Click(sender As Object, e As EventArgs) Handles btnExportAxlGearXML.Click
+		If Not Cfg.DeclMode Then
+			MsgBox("XML Export is only supported in Declaration Mode")
+			Exit Sub
+		End If
 		If Not FolderFileBrowser.OpenDialog("") Then
 			Exit Sub
 		End If
diff --git a/VECTO/GUI/MainForm.Designer.vb b/VECTO/GUI/MainForm.Designer.vb
index bea024c9f0a7009523dd6109cb5d464aacace9b0..bf88bcc11cf8cfdc9c6a59b4c170df5d5717da6a 100644
--- a/VECTO/GUI/MainForm.Designer.vb
+++ b/VECTO/GUI/MainForm.Designer.vb
@@ -60,6 +60,7 @@ Partial Class MainForm
 		Me.TabPgOptions = New System.Windows.Forms.TabPage()
 		Me.PanelOptAllg = New System.Windows.Forms.Panel()
 		Me.GroupBox3 = New System.Windows.Forms.GroupBox()
+		Me.cbActVmod = New System.Windows.Forms.CheckBox()
 		Me.cbValidateRunData = New System.Windows.Forms.CheckBox()
 		Me.GroupBox2 = New System.Windows.Forms.GroupBox()
 		Me.ChBoxModOut = New System.Windows.Forms.CheckBox()
@@ -114,7 +115,6 @@ Partial Class MainForm
 		Me.OpenInGraphWindowToolStripMenuItem = New System.Windows.Forms.ToolStripMenuItem()
 		Me.ShowInFolderToolStripMenuItem = New System.Windows.Forms.ToolStripMenuItem()
 		Me.ToolTip1 = New System.Windows.Forms.ToolTip(Me.components)
-		Me.cbActVmod = New System.Windows.Forms.CheckBox()
 		Me.StatusBAR.SuspendLayout()
 		Me.TabControl1.SuspendLayout()
 		Me.TabPageGEN.SuspendLayout()
@@ -393,6 +393,15 @@ Partial Class MainForm
 		Me.GroupBox3.TabStop = False
 		Me.GroupBox3.Text = "Misc"
 		'
+		'cbActVmod
+		'
+		Me.cbActVmod.Location = New System.Drawing.Point(6, 41)
+		Me.cbActVmod.Name = "cbActVmod"
+		Me.cbActVmod.Size = New System.Drawing.Size(161, 63)
+		Me.cbActVmod.TabIndex = 18
+		Me.cbActVmod.Text = "Output values in vmod at beginning and end of simulation interval (EXPERT!)"
+		Me.cbActVmod.UseVisualStyleBackColor = True
+		'
 		'cbValidateRunData
 		'
 		Me.cbValidateRunData.AutoSize = True
@@ -803,15 +812,6 @@ Partial Class MainForm
 		Me.ShowInFolderToolStripMenuItem.Size = New System.Drawing.Size(173, 22)
 		Me.ShowInFolderToolStripMenuItem.Text = "Show in Folder"
 		'
-		'cbActVmod
-		'
-		Me.cbActVmod.Location = New System.Drawing.Point(6, 41)
-		Me.cbActVmod.Name = "cbActVmod"
-		Me.cbActVmod.Size = New System.Drawing.Size(161, 63)
-		Me.cbActVmod.TabIndex = 18
-		Me.cbActVmod.Text = "Output values in vmod at beginning and end of simulation interval (EXPERT!)"
-		Me.cbActVmod.UseVisualStyleBackColor = True
-		'
 		'MainForm
 		'
 		Me.AcceptButton = Me.btStartV3
diff --git a/VECTO/GUI/MainForm.resx b/VECTO/GUI/MainForm.resx
index 7a10cc6bc771ee05159f0a0d4132dbe37d358569..1ab95c20be0eb1a9777f7aae6720fb67961848f1 100644
--- a/VECTO/GUI/MainForm.resx
+++ b/VECTO/GUI/MainForm.resx
@@ -223,9 +223,6 @@
   <metadata name="CmOpenFile.TrayLocation" type="System.Drawing.Point, System.Drawing, Version=4.0.0.0, Culture=neutral, PublicKeyToken=b03f5f7f11d50a3a">
     <value>732, 12</value>
   </metadata>
-  <metadata name="ToolTip1.TrayLocation" type="System.Drawing.Point, System.Drawing, Version=4.0.0.0, Culture=neutral, PublicKeyToken=b03f5f7f11d50a3a">
-    <value>850, 12</value>
-  </metadata>
   <metadata name="$this.TrayHeight" type="System.Int32, mscorlib, Version=4.0.0.0, Culture=neutral, PublicKeyToken=b77a5c561934e089">
     <value>49</value>
   </metadata>
diff --git a/VECTO/GUI/VehicleForm.Designer.vb b/VECTO/GUI/VehicleForm.Designer.vb
index f44fafcf25beb17007d3366f602452a28c7b0d9a..f36301b74742c9f73f07796a09355072ce702d0c 100644
--- a/VECTO/GUI/VehicleForm.Designer.vb
+++ b/VECTO/GUI/VehicleForm.Designer.vb
@@ -143,6 +143,9 @@ Partial Class VehicleForm
 		Me.btDelMaxTorqueEntry = New System.Windows.Forms.Button()
 		Me.btAddMaxTorqueEntry = New System.Windows.Forms.Button()
 		Me.cbLegislativeClass = New System.Windows.Forms.ComboBox()
+		Me.tbVehicleHeight = New System.Windows.Forms.TextBox()
+		Me.Label11 = New System.Windows.Forms.Label()
+		Me.Label20 = New System.Windows.Forms.Label()
 		Me.GroupBox6.SuspendLayout()
 		Me.ToolStrip1.SuspendLayout()
 		Me.GroupBox7.SuspendLayout()
@@ -237,7 +240,7 @@ Partial Class VehicleForm
 		'ButOK
 		'
 		Me.ButOK.Anchor = CType((System.Windows.Forms.AnchorStyles.Bottom Or System.Windows.Forms.AnchorStyles.Right), System.Windows.Forms.AnchorStyles)
-		Me.ButOK.Location = New System.Drawing.Point(431, 532)
+		Me.ButOK.Location = New System.Drawing.Point(431, 560)
 		Me.ButOK.Name = "ButOK"
 		Me.ButOK.Size = New System.Drawing.Size(75, 23)
 		Me.ButOK.TabIndex = 5
@@ -248,7 +251,7 @@ Partial Class VehicleForm
 		'
 		Me.ButCancel.Anchor = CType((System.Windows.Forms.AnchorStyles.Bottom Or System.Windows.Forms.AnchorStyles.Right), System.Windows.Forms.AnchorStyles)
 		Me.ButCancel.DialogResult = System.Windows.Forms.DialogResult.Cancel
-		Me.ButCancel.Location = New System.Drawing.Point(512, 532)
+		Me.ButCancel.Location = New System.Drawing.Point(512, 560)
 		Me.ButCancel.Name = "ButCancel"
 		Me.ButCancel.Size = New System.Drawing.Size(75, 23)
 		Me.ButCancel.TabIndex = 6
@@ -319,7 +322,7 @@ Partial Class VehicleForm
 		Me.GroupBox6.Controls.Add(Me.CbCdMode)
 		Me.GroupBox6.Controls.Add(Me.BtCdFileBrowse)
 		Me.GroupBox6.Controls.Add(Me.TbCdFile)
-		Me.GroupBox6.Location = New System.Drawing.Point(290, 70)
+		Me.GroupBox6.Location = New System.Drawing.Point(290, 84)
 		Me.GroupBox6.Name = "GroupBox6"
 		Me.GroupBox6.Size = New System.Drawing.Size(281, 96)
 		Me.GroupBox6.TabIndex = 5
@@ -546,7 +549,7 @@ Partial Class VehicleForm
 		Me.GroupBox8.Controls.Add(Me.ButAxlRem)
 		Me.GroupBox8.Controls.Add(Me.LvRRC)
 		Me.GroupBox8.Controls.Add(Me.ButAxlAdd)
-		Me.GroupBox8.Location = New System.Drawing.Point(6, 172)
+		Me.GroupBox8.Location = New System.Drawing.Point(6, 186)
 		Me.GroupBox8.Name = "GroupBox8"
 		Me.GroupBox8.Size = New System.Drawing.Size(564, 151)
 		Me.GroupBox8.TabIndex = 2
@@ -644,7 +647,7 @@ Partial Class VehicleForm
 		Me.PnWheelDiam.Dock = System.Windows.Forms.DockStyle.Fill
 		Me.PnWheelDiam.Location = New System.Drawing.Point(3, 16)
 		Me.PnWheelDiam.Name = "PnWheelDiam"
-		Me.PnWheelDiam.Size = New System.Drawing.Size(132, 42)
+		Me.PnWheelDiam.Size = New System.Drawing.Size(132, 53)
 		Me.PnWheelDiam.TabIndex = 5
 		'
 		'CbAxleConfig
@@ -696,7 +699,7 @@ Partial Class VehicleForm
 		'StatusStrip1
 		'
 		Me.StatusStrip1.Items.AddRange(New System.Windows.Forms.ToolStripItem() {Me.LbStatus})
-		Me.StatusStrip1.Location = New System.Drawing.Point(0, 558)
+		Me.StatusStrip1.Location = New System.Drawing.Point(0, 586)
 		Me.StatusStrip1.Name = "StatusStrip1"
 		Me.StatusStrip1.Size = New System.Drawing.Size(599, 22)
 		Me.StatusStrip1.SizingGrip = False
@@ -727,7 +730,7 @@ Partial Class VehicleForm
 		Me.GroupBox1.Controls.Add(Me.Label14)
 		Me.GroupBox1.Location = New System.Drawing.Point(6, 6)
 		Me.GroupBox1.Name = "GroupBox1"
-		Me.GroupBox1.Size = New System.Drawing.Size(278, 104)
+		Me.GroupBox1.Size = New System.Drawing.Size(278, 118)
 		Me.GroupBox1.TabIndex = 0
 		Me.GroupBox1.TabStop = False
 		Me.GroupBox1.Text = "Weight / Loading"
@@ -742,7 +745,7 @@ Partial Class VehicleForm
 		Me.PnLoad.Controls.Add(Me.Label46)
 		Me.PnLoad.Location = New System.Drawing.Point(6, 43)
 		Me.PnLoad.Name = "PnLoad"
-		Me.PnLoad.Size = New System.Drawing.Size(256, 75)
+		Me.PnLoad.Size = New System.Drawing.Size(256, 58)
 		Me.PnLoad.TabIndex = 1
 		'
 		'GrAirRes
@@ -750,20 +753,23 @@ Partial Class VehicleForm
 		Me.GrAirRes.Controls.Add(Me.PnCdATrTr)
 		Me.GrAirRes.Location = New System.Drawing.Point(290, 6)
 		Me.GrAirRes.Name = "GrAirRes"
-		Me.GrAirRes.Size = New System.Drawing.Size(137, 61)
+		Me.GrAirRes.Size = New System.Drawing.Size(137, 72)
 		Me.GrAirRes.TabIndex = 1
 		Me.GrAirRes.TabStop = False
 		Me.GrAirRes.Text = "Air Resistance"
 		'
 		'PnCdATrTr
 		'
+		Me.PnCdATrTr.Controls.Add(Me.tbVehicleHeight)
+		Me.PnCdATrTr.Controls.Add(Me.Label11)
+		Me.PnCdATrTr.Controls.Add(Me.Label20)
 		Me.PnCdATrTr.Controls.Add(Me.TBcdA)
 		Me.PnCdATrTr.Controls.Add(Me.Label38)
 		Me.PnCdATrTr.Controls.Add(Me.Label3)
 		Me.PnCdATrTr.Dock = System.Windows.Forms.DockStyle.Fill
 		Me.PnCdATrTr.Location = New System.Drawing.Point(3, 16)
 		Me.PnCdATrTr.Name = "PnCdATrTr"
-		Me.PnCdATrTr.Size = New System.Drawing.Size(131, 42)
+		Me.PnCdATrTr.Size = New System.Drawing.Size(131, 53)
 		Me.PnCdATrTr.TabIndex = 0
 		'
 		'Label38
@@ -901,7 +907,7 @@ Partial Class VehicleForm
 		Me.GroupBox3.Controls.Add(Me.PnWheelDiam)
 		Me.GroupBox3.Location = New System.Drawing.Point(433, 6)
 		Me.GroupBox3.Name = "GroupBox3"
-		Me.GroupBox3.Size = New System.Drawing.Size(138, 61)
+		Me.GroupBox3.Size = New System.Drawing.Size(138, 72)
 		Me.GroupBox3.TabIndex = 6
 		Me.GroupBox3.TabStop = False
 		Me.GroupBox3.Text = "Dynamic Tyre Radius"
@@ -1021,7 +1027,7 @@ Partial Class VehicleForm
 		Me.TabControl1.Location = New System.Drawing.Point(6, 173)
 		Me.TabControl1.Name = "TabControl1"
 		Me.TabControl1.SelectedIndex = 0
-		Me.TabControl1.Size = New System.Drawing.Size(587, 355)
+		Me.TabControl1.Size = New System.Drawing.Size(587, 381)
 		Me.TabControl1.TabIndex = 40
 		'
 		'TabPage1
@@ -1035,7 +1041,7 @@ Partial Class VehicleForm
 		Me.TabPage1.Location = New System.Drawing.Point(4, 22)
 		Me.TabPage1.Name = "TabPage1"
 		Me.TabPage1.Padding = New System.Windows.Forms.Padding(3)
-		Me.TabPage1.Size = New System.Drawing.Size(579, 329)
+		Me.TabPage1.Size = New System.Drawing.Size(579, 355)
 		Me.TabPage1.TabIndex = 0
 		Me.TabPage1.Text = "General"
 		Me.TabPage1.UseVisualStyleBackColor = True
@@ -1043,7 +1049,7 @@ Partial Class VehicleForm
 		'GroupBox4
 		'
 		Me.GroupBox4.Controls.Add(Me.Panel1)
-		Me.GroupBox4.Location = New System.Drawing.Point(6, 116)
+		Me.GroupBox4.Location = New System.Drawing.Point(6, 130)
 		Me.GroupBox4.Name = "GroupBox4"
 		Me.GroupBox4.Size = New System.Drawing.Size(278, 50)
 		Me.GroupBox4.TabIndex = 2
@@ -1175,13 +1181,38 @@ Partial Class VehicleForm
 		Me.cbLegislativeClass.Size = New System.Drawing.Size(52, 21)
 		Me.cbLegislativeClass.TabIndex = 41
 		'
+		'tbVehicleHeight
+		'
+		Me.tbVehicleHeight.Location = New System.Drawing.Point(46, 29)
+		Me.tbVehicleHeight.Name = "tbVehicleHeight"
+		Me.tbVehicleHeight.Size = New System.Drawing.Size(57, 20)
+		Me.tbVehicleHeight.TabIndex = 25
+		'
+		'Label11
+		'
+		Me.Label11.AutoSize = True
+		Me.Label11.Location = New System.Drawing.Point(105, 32)
+		Me.Label11.Name = "Label11"
+		Me.Label11.Size = New System.Drawing.Size(21, 13)
+		Me.Label11.TabIndex = 27
+		Me.Label11.Text = "[m]"
+		'
+		'Label20
+		'
+		Me.Label20.AutoSize = True
+		Me.Label20.Location = New System.Drawing.Point(3, 32)
+		Me.Label20.Name = "Label20"
+		Me.Label20.Size = New System.Drawing.Size(38, 13)
+		Me.Label20.TabIndex = 26
+		Me.Label20.Text = "Height"
+		'
 		'VehicleForm
 		'
 		Me.AcceptButton = Me.ButOK
 		Me.AutoScaleDimensions = New System.Drawing.SizeF(6.0!, 13.0!)
 		Me.AutoScaleMode = System.Windows.Forms.AutoScaleMode.Font
 		Me.CancelButton = Me.ButCancel
-		Me.ClientSize = New System.Drawing.Size(599, 580)
+		Me.ClientSize = New System.Drawing.Size(599, 608)
 		Me.Controls.Add(Me.cbLegislativeClass)
 		Me.Controls.Add(Me.TabControl1)
 		Me.Controls.Add(Me.ButCancel)
@@ -1354,4 +1385,7 @@ Partial Class VehicleForm
 	Friend WithEvents Label18 As System.Windows.Forms.Label
 	Friend WithEvents Label19 As System.Windows.Forms.Label
 	Friend WithEvents cbLegislativeClass As System.Windows.Forms.ComboBox
+	Friend WithEvents tbVehicleHeight As System.Windows.Forms.TextBox
+	Friend WithEvents Label11 As System.Windows.Forms.Label
+	Friend WithEvents Label20 As System.Windows.Forms.Label
 End Class
diff --git a/VECTO/GUI/VehicleForm.vb b/VECTO/GUI/VehicleForm.vb
index 25eea0c99f89e21704d0edf89ee250b679a84b78..300020cfd0ec9adf00153093475a9d4059511bf7 100644
--- a/VECTO/GUI/VehicleForm.vb
+++ b/VECTO/GUI/VehicleForm.vb
@@ -160,7 +160,7 @@ Public Class VehicleForm
 		Catch
 			' no segment found - ignore
 		End Try
-		If s0.found Then
+		If s0.Found Then
 			_hdVclass = s0.VehicleClass.GetClassNumber()
 			Dim axleCount As Integer = s0.Missions(0).AxleWeightDistribution.Count()
 			Dim i0 As Integer = LvRRC.Items.Count
@@ -454,7 +454,7 @@ Public Class VehicleForm
 		veh.Mass = TbMass.Text.ToDouble(0)
 		veh.MassExtra = TbMassExtra.Text.ToDouble(0)
 		veh.Loading = TbLoad.Text.ToDouble(0)
-
+		veh.VehicleHeight = tbVehicleHeight.Text.ToDouble(0)
 		veh.CdA0 = If(String.IsNullOrWhiteSpace(TBcdA.Text), Double.NaN, TBcdA.Text.ToDouble(0))
 		veh.legClass = CType(cbLegislativeClass.SelectedValue, LegislativeClass)
 		veh.DynamicTyreRadius = TBrdyn.Text.ToDouble(0)
@@ -545,6 +545,9 @@ Public Class VehicleForm
 
 		End Select
 
+		tbVehicleHeight.Enabled = Not Cfg.DeclMode AndAlso
+								CType(CbCdMode.SelectedValue, CrossWindCorrectionMode) = CrossWindCorrectionMode.DeclarationModeCorrection
+
 		If Not Cfg.DeclMode Then
 			TbCdFile.Enabled = bEnabled
 			BtCdFileBrowse.Enabled = bEnabled
diff --git a/VECTO/GUI/XMLExportJobDialog.vb b/VECTO/GUI/XMLExportJobDialog.vb
index 48236bee9e9b37d7e9ae82267b83d7bf3c9ffe2f..66ad6efc8552b89e50a23cba8fc16923c89c97aa 100644
--- a/VECTO/GUI/XMLExportJobDialog.vb
+++ b/VECTO/GUI/XMLExportJobDialog.vb
@@ -12,13 +12,13 @@ Public Class XMLExportJobDialog
 	Public Sub Initialize(data As IInputDataProvider)
 		Dim source As String
 		Dim allowSingleFile As Boolean
-		Dim eng As IEngineeringInputDataProvider = CType(data, IEngineeringInputDataProvider)
+		Dim eng As IEngineeringInputDataProvider = TryCast(data, IEngineeringInputDataProvider)
 		If (Not eng Is Nothing AndAlso Not eng.JobInputData().SavedInDeclarationMode) Then
 			source = eng.JobInputData().JobName
 			_mode = ExecutionMode.Engineering
 			allowSingleFile = True
 		Else
-			Dim decl As IDeclarationInputDataProvider = CType(data, IDeclarationInputDataProvider)
+			Dim decl As IDeclarationInputDataProvider = TryCast(data, IDeclarationInputDataProvider)
 			If (Not decl Is Nothing AndAlso decl.JobInputData().SavedInDeclarationMode) Then
 				source = decl.JobInputData().JobName
 				_mode = ExecutionMode.Declaration
diff --git a/VECTO/Input Files/Vehicle.vb b/VECTO/Input Files/Vehicle.vb
index 107f9dc7005a26797e1fe2c18aa4dda6632824ff..eeff657adc771ad91d24ac728d0a1b8f89e8798b 100644
--- a/VECTO/Input Files/Vehicle.vb	
+++ b/VECTO/Input Files/Vehicle.vb	
@@ -64,6 +64,7 @@ Public Class Vehicle
 	Public torqueLimitsList As List(Of ITorqueLimitInputData)
 	Public VehicleidlingSpeed As PerSecond
 	Public legClass As LegislativeClass
+	Public VehicleHeight As Double
 
 
 	Public Sub New()
@@ -389,6 +390,12 @@ Public Class Vehicle
 		End Get
 	End Property
 
+	Public ReadOnly Property Height As Meter Implements IVehicleEngineeringInputData.Height
+		Get
+			Return VehicleHeight.SI(Of Meter)()
+		End Get
+	End Property
+
 	Public ReadOnly Property CrosswindCorrectionMap As TableData _
 		Implements IAirdragEngineeringInputData.CrosswindCorrectionMap
 		Get
diff --git a/VECTO/My Project/AssemblyInfo.vb b/VECTO/My Project/AssemblyInfo.vb
index 23ca07a043c1ba044c537b917dbb91dd5ac17fda..8f5181a523ac83c38a40939893f6e59a9e4f5f5f 100644
--- a/VECTO/My Project/AssemblyInfo.vb	
+++ b/VECTO/My Project/AssemblyInfo.vb	
@@ -12,7 +12,7 @@ Imports System.Runtime.InteropServices
 <Assembly: AssemblyDescription("Vehicle Energy Consumption Calculation Tool")> 
 <Assembly: AssemblyCompany("")> 
 <Assembly: AssemblyProduct("VECTO")> 
-<Assembly: AssemblyCopyright("© European Commission 2016")> 
+<Assembly: AssemblyCopyright("© European Commission 2012 - 2017")> 
 <Assembly: AssemblyTrademark("")> 
 
 <Assembly: ComVisible(False)>
@@ -31,5 +31,5 @@ Imports System.Runtime.InteropServices
 ' by entering "*" in them:
 ' <Assembly: AssemblyVersion("1.0.*")> 
 
-<Assembly: AssemblyVersion("2.2.0.0")> 
-<Assembly: AssemblyFileVersion("2.2.0.0")> 
+<Assembly: AssemblyVersion("3.2.0.0")> 
+<Assembly: AssemblyFileVersion("3.2.0.0")> 
diff --git a/VECTO/OutputData/JSONFileWriter.vb b/VECTO/OutputData/JSONFileWriter.vb
index 814a599beefeba5f3d7e0cb03220b0910f285bc7..0bd62c399ba4fa42e3b07332fb2e468812b78a29 100644
--- a/VECTO/OutputData/JSONFileWriter.vb
+++ b/VECTO/OutputData/JSONFileWriter.vb
@@ -235,6 +235,9 @@ Public Class JSONFileWriter
 		If (Not IsNothing(airdrag.AirDragArea)) Then
 			body("CdA") = airdrag.AirDragArea.Value()
 		End If
+		If (Not IsNothing(vehicle.Height)) Then
+			body("VehicleHeight") = vehicle.Height.Value()
+		End If
 		WriteFile(header, body, filename)
 	End Sub
 
diff --git a/VectoCommon/VectoCommon/InputData/EngineeringInputData.cs b/VectoCommon/VectoCommon/InputData/EngineeringInputData.cs
index 4f9230a9f46510fd976786efaa6e352d69bb7f00..376f432fccd70852f32bbb5c988c9ac8d4000e19 100644
--- a/VectoCommon/VectoCommon/InputData/EngineeringInputData.cs
+++ b/VectoCommon/VectoCommon/InputData/EngineeringInputData.cs
@@ -54,7 +54,6 @@ namespace TUGraz.VectoCommon.InputData
 
 	public interface IVehicleEngineeringInputData : IVehicleDeclarationInputData
 	{
-		
 		/// <summary>
 		/// P039  Curb Weight Extra Trailer/Body
 		/// cf. VECTO Input Parameters.xlsx
@@ -79,6 +78,8 @@ namespace TUGraz.VectoCommon.InputData
 		/// cf. VECTO Input Parameters.xlsx
 		/// </summary>
 		Meter DynamicTyreRadius { get; }
+
+		Meter Height { get; }
 	}
 
 	public interface IAirdragEngineeringInputData : IAirdragDeclarationInputData
diff --git a/VectoCommon/VectoCommon/Models/LegislativeClass.cs b/VectoCommon/VectoCommon/Models/LegislativeClass.cs
index d6addcc01eab7107b0b79663fe600f0203737943..d63fd2bccc40335436327320c28a31a178dc8291 100644
--- a/VectoCommon/VectoCommon/Models/LegislativeClass.cs
+++ b/VectoCommon/VectoCommon/Models/LegislativeClass.cs
@@ -1,4 +1,35 @@
-namespace TUGraz.VectoCommon.Models
+/*
+* This file is part of VECTO.
+*
+* Copyright © 2012-2017 European Union
+*
+* Developed by Graz University of Technology,
+*              Institute of Internal Combustion Engines and Thermodynamics,
+*              Institute of Technical Informatics
+*
+* VECTO is licensed under the EUPL, Version 1.1 or - as soon they will be approved
+* by the European Commission - subsequent versions of the EUPL (the "Licence");
+* You may not use VECTO except in compliance with the Licence.
+* You may obtain a copy of the Licence at:
+*
+* https://joinup.ec.europa.eu/community/eupl/og_page/eupl
+*
+* Unless required by applicable law or agreed to in writing, VECTO
+* distributed under the Licence is distributed on an "AS IS" basis,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the Licence for the specific language governing permissions and
+* limitations under the Licence.
+*
+* Authors:
+*   Stefan Hausberger, hausberger@ivt.tugraz.at, IVT, Graz University of Technology
+*   Christian Kreiner, christian.kreiner@tugraz.at, ITI, Graz University of Technology
+*   Michael Krisper, michael.krisper@tugraz.at, ITI, Graz University of Technology
+*   Raphael Luz, luz@ivt.tugraz.at, IVT, Graz University of Technology
+*   Markus Quaritsch, markus.quaritsch@tugraz.at, IVT, Graz University of Technology
+*   Martin Rexeis, rexeis@ivt.tugraz.at, IVT, Graz University of Technology
+*/
+
+namespace TUGraz.VectoCommon.Models
 {
 	public enum LegislativeClass
 	{
diff --git a/VectoCommon/VectoCommon/Properties/AssemblyInfo.cs b/VectoCommon/VectoCommon/Properties/AssemblyInfo.cs
index 89587b5b27351eb9a6cdb29703ab1df30b037469..bff7b82cc2b413e5979ab4af7a82afc8162a55eb 100644
--- a/VectoCommon/VectoCommon/Properties/AssemblyInfo.cs
+++ b/VectoCommon/VectoCommon/Properties/AssemblyInfo.cs
@@ -37,10 +37,10 @@ using System.Runtime.InteropServices;
 // die mit einer Assembly verknüpft sind.
 [assembly: AssemblyTitle("VectoCommon")]
 [assembly: AssemblyDescription("")]
-[assembly: AssemblyConfiguration("")]
-[assembly: AssemblyCompany("")]
-[assembly: AssemblyProduct("VectoCommon")]
-[assembly: AssemblyCopyright("Copyright ©  2016")]
+[assembly: AssemblyConfiguration("")]
+[assembly: AssemblyCompany("Europan Union")]
+[assembly: AssemblyProduct("VectoCommon")]
+[assembly: AssemblyCopyright("Copyright ©  2012-2017")]
 [assembly: AssemblyTrademark("")]
 [assembly: AssemblyCulture("")]
 
diff --git a/VectoCommon/VectoCommon/Properties/Version.cs b/VectoCommon/VectoCommon/Properties/Version.cs
index a1637b2f09e0ce0835c2e92889238421fe845421..376f15c98242ee5a01ba35cf44283a0c6c7985ed 100644
--- a/VectoCommon/VectoCommon/Properties/Version.cs
+++ b/VectoCommon/VectoCommon/Properties/Version.cs
@@ -29,6 +29,6 @@
 *   Martin Rexeis, rexeis@ivt.tugraz.at, IVT, Graz University of Technology
 */
 
-using System.Reflection;
-[assembly: AssemblyVersion("3.1.2.903")]
-[assembly: AssemblyFileVersion("3.1.2.903")]
+using System.Reflection;
+[assembly: AssemblyVersion("3.2.0.925")]
+[assembly: AssemblyFileVersion("3.2.0.925")]
diff --git a/VectoCommon/VectoCommon/Properties/Version.tt b/VectoCommon/VectoCommon/Properties/Version.tt
index e5ca8e5e9e85e918432dd564d6360e86d5547ed5..8ba3fd28c6503d839db56a147494e1473101787e 100644
--- a/VectoCommon/VectoCommon/Properties/Version.tt
+++ b/VectoCommon/VectoCommon/Properties/Version.tt
@@ -32,8 +32,8 @@
 <#@ template language="C#" #>
 <#@ output extension=".cs"#>
 using System.Reflection;
-[assembly: AssemblyVersion("3.1.2.<#= this.RevisionNumber #>")]
-[assembly: AssemblyFileVersion("3.1.2.<#= this.RevisionNumber #>")]
+[assembly: AssemblyVersion("3.2.0.<#= this.RevisionNumber #>")]
+[assembly: AssemblyFileVersion("3.2.0.<#= this.RevisionNumber #>")]
 <#+ 
 	int RevisionNumber = (int)(DateTime.UtcNow - new DateTime(2015, 1, 1)).TotalDays; 
 #>
\ No newline at end of file
diff --git a/VectoCommon/VectoCommon/VectoCommon.csproj b/VectoCommon/VectoCommon/VectoCommon.csproj
index 1d91d423b391097d52a6f7a95579644a1aa93750..32996b2b506cddb0bdcb3a7dea7034fd77b1ea15 100644
--- a/VectoCommon/VectoCommon/VectoCommon.csproj
+++ b/VectoCommon/VectoCommon/VectoCommon.csproj
@@ -108,6 +108,9 @@
       <SubType>Designer</SubType>
     </EmbeddedResource>
   </ItemGroup>
+  <ItemGroup>
+    <Service Include="{508349B6-6B84-4DF5-91F0-309BEEBAD82D}" />
+  </ItemGroup>
   <Import Project="$(MSBuildToolsPath)\Microsoft.CSharp.targets" />
   <!-- To modify your build process, add your task inside one of the targets below and uncomment it. 
        Other similar extension points exist, see Microsoft.Common.targets.
diff --git a/VectoCommon/VectoHashing/Properties/Version.cs b/VectoCommon/VectoHashing/Properties/Version.cs
index 42e64f40089351cd75dc6d307d819b5cea3f8a78..6a39026e3e969b45ff1b93a155a134c2023f41ae 100644
--- a/VectoCommon/VectoHashing/Properties/Version.cs
+++ b/VectoCommon/VectoHashing/Properties/Version.cs
@@ -1,7 +1,7 @@
 /*
 * This file is part of VECTO.
 *
-* Copyright © 2012-2017 European Union
+* Copyright © 2012-2016 European Union
 *
 * Developed by Graz University of Technology,
 *              Institute of Internal Combustion Engines and Thermodynamics,
@@ -11,7 +11,7 @@
 * by the European Commission - subsequent versions of the EUPL (the "Licence");
 * You may not use VECTO except in compliance with the Licence.
 * You may obtain a copy of the Licence at:
-*
+*	
 * https://joinup.ec.europa.eu/community/eupl/og_page/eupl
 *
 * Unless required by applicable law or agreed to in writing, VECTO
@@ -29,6 +29,6 @@
 *   Martin Rexeis, rexeis@ivt.tugraz.at, IVT, Graz University of Technology
 */
 
-using System.Reflection;
-[assembly: AssemblyVersion("0.1.0.127")]
-[assembly: AssemblyFileVersion("0.1.0.127")]
+using System.Reflection;
+[assembly: AssemblyVersion("1.1.0.925")]
+[assembly: AssemblyFileVersion("1.1.0.925")]
diff --git a/VectoCommon/VectoHashing/Properties/Version.tt b/VectoCommon/VectoHashing/Properties/Version.tt
index ce60176128751b903ebfe4cab78a59db0ace3308..68598d363888e565257f55bb9dd60be7e2babae1 100644
--- a/VectoCommon/VectoHashing/Properties/Version.tt
+++ b/VectoCommon/VectoHashing/Properties/Version.tt
@@ -32,8 +32,8 @@
 <#@ template language="C#" #>
 <#@ output extension=".cs"#>
 using System.Reflection;
-[assembly: AssemblyVersion("0.1.0.<#= this.RevisionNumber #>")]
-[assembly: AssemblyFileVersion("0.1.0.<#= this.RevisionNumber #>")]
+[assembly: AssemblyVersion("1.1.0.<#= this.RevisionNumber #>")]
+[assembly: AssemblyFileVersion("1.1.0.<#= this.RevisionNumber #>")]
 <#+ 
-	int RevisionNumber = (int)(DateTime.UtcNow - new DateTime(2017, 1, 1)).TotalDays; 
+	int RevisionNumber = (int)(DateTime.UtcNow - new DateTime(2015, 1, 1)).TotalDays; 
 #>
\ No newline at end of file
diff --git a/VectoCommon/VectoHashing/VectoHash.cs b/VectoCommon/VectoHashing/VectoHash.cs
index 22a0d468df16149266d70a1a0ad9008ca45826d6..53b982286da84d66c9173856358f371c6c406302 100644
--- a/VectoCommon/VectoHashing/VectoHash.cs
+++ b/VectoCommon/VectoHashing/VectoHash.cs
@@ -189,7 +189,7 @@ namespace TUGraz.VectoHashing
 
 			query = component == VectoComponents.VectoCustomerInformation || component == VectoComponents.VectoOutput
 				? string.Format("*/*[local-name()='Data']/*[local-name()='ApplicationInformation']/*[local-name()='Date']")
-				: string.Format("*/*[local-name()='{0}']/*/*[local-name()='Date']", component);
+				: string.Format("*/*[local-name()='{0}']/*/*[local-name()='Date']", component.XMLElementName());
 			var dateNode = Document.SelectSingleNode(query);
 			if (dateNode == null) {
 				throw new Exception("Date-Element not found in input!");
diff --git a/VectoConsole/Properties/Version.cs b/VectoConsole/Properties/Version.cs
index cc9d06cc5c3bfabe288953ae34851ccc6962387b..4523c686694de239502eacfd9879ae8422bf12ad 100644
--- a/VectoConsole/Properties/Version.cs
+++ b/VectoConsole/Properties/Version.cs
@@ -1,7 +1,7 @@
 /*
 * This file is part of VECTO.
 *
-* Copyright © 2012-2017 European Union
+* Copyright © 2012-2016 European Union
 *
 * Developed by Graz University of Technology,
 *              Institute of Internal Combustion Engines and Thermodynamics,
@@ -11,7 +11,7 @@
 * by the European Commission - subsequent versions of the EUPL (the "Licence");
 * You may not use VECTO except in compliance with the Licence.
 * You may obtain a copy of the Licence at:
-*
+*	
 * https://joinup.ec.europa.eu/community/eupl/og_page/eupl
 *
 * Unless required by applicable law or agreed to in writing, VECTO
@@ -29,6 +29,6 @@
 *   Martin Rexeis, rexeis@ivt.tugraz.at, IVT, Graz University of Technology
 */
 
-using System.Reflection;
-[assembly: AssemblyVersion("3.1.1.810")]
-[assembly: AssemblyFileVersion("3.1.1.810")]
+using System.Reflection;
+[assembly: AssemblyVersion("3.1.1.925")]
+[assembly: AssemblyFileVersion("3.1.1.925")]
diff --git a/VectoCore/VectoCore/InputData/FileIO/JSON/JSONVehicleData.cs b/VectoCore/VectoCore/InputData/FileIO/JSON/JSONVehicleData.cs
index 700f70c88a1822bbef48400b1d964e9975d1266e..a17fb0be088810eaa60c53ecc91d881bc38abe50 100644
--- a/VectoCore/VectoCore/InputData/FileIO/JSON/JSONVehicleData.cs
+++ b/VectoCore/VectoCore/InputData/FileIO/JSON/JSONVehicleData.cs
@@ -113,6 +113,11 @@ namespace TUGraz.VectoCore.InputData.FileIO.JSON
 			get { return Body.GetEx<double>(JsonKeys.Vehicle_DynamicTyreRadius).SI().Milli.Meter.Cast<Meter>(); }
 		}
 
+		public Meter Height
+		{
+			get { return Body["VehicleHeight"] == null ? null : Body.GetEx<double>("VehicleHeight").SI<Meter>(); }
+		}
+
 		public virtual AxleConfiguration AxleConfiguration
 		{
 			get {
diff --git a/VectoCore/VectoCore/InputData/FileIO/XML/Engineering/XMLEngineeringVehicleDataProvider.cs b/VectoCore/VectoCore/InputData/FileIO/XML/Engineering/XMLEngineeringVehicleDataProvider.cs
index 5442dfe82ef80fe3c3bdbc2db37b6be3988ecb17..bc02bb6a76f1af3664189268ef24d7ce7a6cdc48 100644
--- a/VectoCore/VectoCore/InputData/FileIO/XML/Engineering/XMLEngineeringVehicleDataProvider.cs
+++ b/VectoCore/VectoCore/InputData/FileIO/XML/Engineering/XMLEngineeringVehicleDataProvider.cs
@@ -129,6 +129,16 @@ namespace TUGraz.VectoCore.InputData.FileIO.XML.Engineering
 			}
 		}
 
+		public Meter Height
+		{
+			get {
+				if (ElementExists(Helper.Query("VehicleHeight"))) {
+					return GetDoubleElementValue("VehicleHeight").SI<Meter>();
+				}
+				return null;
+			}
+		}
+
 
 		public AxleConfiguration AxleConfiguration
 		{
diff --git a/VectoCore/VectoCore/InputData/Reader/DataObjectAdapter/EngineeringDataAdapter.cs b/VectoCore/VectoCore/InputData/Reader/DataObjectAdapter/EngineeringDataAdapter.cs
index 813e4d2eb9c71a825ea2aee2dd787e5d1699cd6a..08da7492bd1a75438104956972eb0bf83ddcddcf 100644
--- a/VectoCore/VectoCore/InputData/Reader/DataObjectAdapter/EngineeringDataAdapter.cs
+++ b/VectoCore/VectoCore/InputData/Reader/DataObjectAdapter/EngineeringDataAdapter.cs
@@ -98,7 +98,7 @@ namespace TUGraz.VectoCore.InputData.Reader.DataObjectAdapter
 				case CrossWindCorrectionMode.DeclarationModeCorrection:
 					var airDragArea = airdragData.AirDragArea ??
 									DeclarationData.Segments.LookupCdA(data.VehicleCategory, data.AxleConfiguration, data.GrossVehicleMassRating);
-					var height = DeclarationData.Segments.LookupHeight(data.VehicleCategory, data.AxleConfiguration,
+					var height = data.Height ?? DeclarationData.Segments.LookupHeight(data.VehicleCategory, data.AxleConfiguration,
 						data.GrossVehicleMassRating);
 					retVal.CrossWindCorrectionCurve = new CrosswindCorrectionCdxALookup(airDragArea,
 						DeclarationDataAdapter.GetDeclarationAirResistanceCurve(
diff --git a/VectoCore/VectoCore/Models/Declaration/AuxDemandEntry.cs b/VectoCore/VectoCore/Models/Declaration/AuxDemandEntry.cs
index a04ddfb72d6a5c7079b1e5fb4e90dbd5aa3d44d7..b445ea33c21c506b919eb402012a173ea01ae7e7 100644
--- a/VectoCore/VectoCore/Models/Declaration/AuxDemandEntry.cs
+++ b/VectoCore/VectoCore/Models/Declaration/AuxDemandEntry.cs
@@ -1,3 +1,34 @@
+/*
+* This file is part of VECTO.
+*
+* Copyright © 2012-2017 European Union
+*
+* Developed by Graz University of Technology,
+*              Institute of Internal Combustion Engines and Thermodynamics,
+*              Institute of Technical Informatics
+*
+* VECTO is licensed under the EUPL, Version 1.1 or - as soon they will be approved
+* by the European Commission - subsequent versions of the EUPL (the "Licence");
+* You may not use VECTO except in compliance with the Licence.
+* You may obtain a copy of the Licence at:
+*
+* https://joinup.ec.europa.eu/community/eupl/og_page/eupl
+*
+* Unless required by applicable law or agreed to in writing, VECTO
+* distributed under the Licence is distributed on an "AS IS" basis,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the Licence for the specific language governing permissions and
+* limitations under the Licence.
+*
+* Authors:
+*   Stefan Hausberger, hausberger@ivt.tugraz.at, IVT, Graz University of Technology
+*   Christian Kreiner, christian.kreiner@tugraz.at, ITI, Graz University of Technology
+*   Michael Krisper, michael.krisper@tugraz.at, ITI, Graz University of Technology
+*   Raphael Luz, luz@ivt.tugraz.at, IVT, Graz University of Technology
+*   Markus Quaritsch, markus.quaritsch@tugraz.at, IVT, Graz University of Technology
+*   Martin Rexeis, rexeis@ivt.tugraz.at, IVT, Graz University of Technology
+*/
+
 using TUGraz.VectoCommon.Utils;
 
 namespace TUGraz.VectoCore.Models.Declaration
diff --git a/VectoCore/VectoCore/Properties/AssemblyInfo.cs b/VectoCore/VectoCore/Properties/AssemblyInfo.cs
index 9259a018bfaa2e3c796d28758d4578386a44b894..6962b31fab0a61486181d89e0e7d0d5378857dfe 100644
--- a/VectoCore/VectoCore/Properties/AssemblyInfo.cs
+++ b/VectoCore/VectoCore/Properties/AssemblyInfo.cs
@@ -37,7 +37,7 @@ using System.Runtime.InteropServices;
 [assembly: AssemblyConfiguration("")]
 [assembly: AssemblyCompany("European Union")]
 [assembly: AssemblyProduct("VectoCore")]
-[assembly: AssemblyCopyright("Copyright © 2012 - 2016")]
+[assembly: AssemblyCopyright("Copyright © 2012 - 2017")]
 [assembly: AssemblyTrademark("")]
 [assembly: AssemblyCulture("")]
 [assembly: ComVisible(false)]
diff --git a/VectoCore/VectoCore/Properties/Version.cs b/VectoCore/VectoCore/Properties/Version.cs
index 679216b163dc275ac0da280e860e390485490108..d1496e8af6fb9df2bb8903b9bc45c94b8e6e03de 100644
--- a/VectoCore/VectoCore/Properties/Version.cs
+++ b/VectoCore/VectoCore/Properties/Version.cs
@@ -1,7 +1,7 @@
 /*
 * This file is part of VECTO.
 *
-* Copyright © 2012-2017 European Union
+* Copyright © 2012-2016 European Union
 *
 * Developed by Graz University of Technology,
 *              Institute of Internal Combustion Engines and Thermodynamics,
@@ -29,6 +29,6 @@
 *   Martin Rexeis, rexeis@ivt.tugraz.at, IVT, Graz University of Technology
 */
 
-using System.Reflection;
-[assembly: AssemblyVersion("3.1.2.810")]
-[assembly: AssemblyFileVersion("3.1.2.810")]
+using System.Reflection;
+[assembly: AssemblyVersion("3.2.0.925")]
+[assembly: AssemblyFileVersion("3.2.0.925")]
diff --git a/VectoCore/VectoCore/Properties/Version.tt b/VectoCore/VectoCore/Properties/Version.tt
index e5ca8e5e9e85e918432dd564d6360e86d5547ed5..8ba3fd28c6503d839db56a147494e1473101787e 100644
--- a/VectoCore/VectoCore/Properties/Version.tt
+++ b/VectoCore/VectoCore/Properties/Version.tt
@@ -32,8 +32,8 @@
 <#@ template language="C#" #>
 <#@ output extension=".cs"#>
 using System.Reflection;
-[assembly: AssemblyVersion("3.1.2.<#= this.RevisionNumber #>")]
-[assembly: AssemblyFileVersion("3.1.2.<#= this.RevisionNumber #>")]
+[assembly: AssemblyVersion("3.2.0.<#= this.RevisionNumber #>")]
+[assembly: AssemblyFileVersion("3.2.0.<#= this.RevisionNumber #>")]
 <#+ 
 	int RevisionNumber = (int)(DateTime.UtcNow - new DateTime(2015, 1, 1)).TotalDays; 
 #>
\ No newline at end of file