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 251d251fbe0fe734d9f8bf8dfc99b05f2fcd8d87..fb6aaeffcce9bc3931b64b8a35cede90f3d834db 100644
--- a/Documentation/User Manual/1-user-interface/F_VEH-Editor.md	
+++ b/Documentation/User Manual/1-user-interface/F_VEH-Editor.md	
@@ -71,7 +71,7 @@ Powered axle tyres/rims
 
 If a separate retarder is used in the vehicle a **Retarder Torque Loss Map** can be defined here to consider idling losses caused by the retarder.
 
-Three options are available:
+Four options are available:
 : -   No retarder
 -	Included in Transmission Loss Maps: Use this if the [Transmission Loss Maps](#transmission-loss-map) already include retarder losses.
 -   Primary Retarder (before gearbox): The rpm ratio is relative to the engine speed
@@ -79,6 +79,16 @@ Three options are available:
 
 Both, primary and secondary retarders, require an [Retarder Torque Loss Input File (.vrlm)](#retarder-loss-torque-input-file-.vrlm).
 
+###Angular Gear
+
+If an angular gear is used in the vehicle, it can be defined here.
+
+Three options are available:
+
+- No angular gear (**default**)
+- Separate angular gear: Use this if the angular gear is measured separately. In this case the ratio must be set and a [Transmission Loss Map](#transmission-loss-map) for the angular gear must be given.
+- Included in transmission: Use this if the gearbox already includes the transmission losses for the angular gear in the respective transmission loss maps.
+
 
 ###Cross Wind Correction Options
 
diff --git a/Documentation/User Manual/help.html b/Documentation/User Manual/help.html
index bd64ed981608faa8e8041e03823f21ca1835108c..7126af1c7a5bcd0a82a9c0f4145da21a6fff1c38 100644
--- a/Documentation/User Manual/help.html	
+++ b/Documentation/User Manual/help.html	
@@ -2082,7 +2082,7 @@ Version: VECTO 2.2 / VectoCore 3.0.2 / VectoCmd 3.0.2</p>
 <div id="vehicle-editor" class="section level2">
 <h2>Vehicle Editor</h2>
 <div class="figure">
-<img src="data:image/png;base64,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" 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" />
 
 </div>
 <div id="description-8" class="section level3">
@@ -2143,7 +2143,7 @@ Version: VECTO 2.2 / VectoCore 3.0.2 / VectoCmd 3.0.2</p>
 <h3>Retarder Losses</h3>
 <p>If a separate retarder is used in the vehicle a <strong>Retarder Torque Loss Map</strong> can be defined here to consider idling losses caused by the retarder.</p>
 <dl>
-<dt>Three options are available:</dt>
+<dt>Four options are available:</dt>
 <dd><ul>
 <li>No retarder</li>
 <li>Included in Transmission Loss Maps: Use this if the <a href="#transmission-loss-map">Transmission Loss Maps</a> already include retarder losses.</li>
@@ -2154,6 +2154,16 @@ Version: VECTO 2.2 / VectoCore 3.0.2 / VectoCmd 3.0.2</p>
 </dl>
 <p>Both, primary and secondary retarders, require an <a href="#retarder-loss-torque-input-file-.vrlm">Retarder Torque Loss Input File (.vrlm)</a>.</p>
 </div>
+<div id="angular-gear" class="section level3">
+<h3>Angular Gear</h3>
+<p>If an angular gear is used in the vehicle, it can be defined here.</p>
+<p>Three options are available:</p>
+<ul>
+<li>No angular gear (<strong>default</strong>)</li>
+<li>Separate angular gear: Use this if the angular gear is measured separately. In this case the ratio must be set and a <a href="#transmission-loss-map">Transmission Loss Map</a> for the angular gear must be given.</li>
+<li>Included in transmission: Use this if the gearbox already includes the transmission losses for the angular gear in the respective transmission loss maps.</li>
+</ul>
+</div>
 <div id="cross-wind-correction-options" class="section level3">
 <h3>Cross Wind Correction Options</h3>
 <dl>
diff --git a/Documentation/User Manual/pics/VEH-Editor.PNG b/Documentation/User Manual/pics/VEH-Editor.PNG
index 99f72ff05aadd4899bddd430d82a0a5c663c057b..b7eea8d188033402819130dfa354610ddc35f331 100644
Binary files a/Documentation/User Manual/pics/VEH-Editor.PNG and b/Documentation/User Manual/pics/VEH-Editor.PNG differ
diff --git a/Generic Vehicles/Declaration Mode/40t Long Haul Truck/40t_Long_Haul_Truck.vveh b/Generic Vehicles/Declaration Mode/40t Long Haul Truck/40t_Long_Haul_Truck.vveh
index f48fb7f645e6f79dca0c015a4a8ba322be8da286..1e5f25b84078ac5f1013aa8521baad175faf82a9 100644
--- a/Generic Vehicles/Declaration Mode/40t Long Haul Truck/40t_Long_Haul_Truck.vveh	
+++ b/Generic Vehicles/Declaration Mode/40t Long Haul Truck/40t_Long_Haul_Truck.vveh	
@@ -1,7 +1,7 @@
 {
   "Header": {
     "CreatedBy": " ()",
-    "Date": "11.07.2016 17:58:02",
+    "Date": "12.07.2016 11:30:47",
     "AppVersion": "2.2",
     "FileVersion": 7
   },
@@ -24,9 +24,9 @@
       "File": "Retarder.vrlm"
     },
     "AngularGear": {
-      "Type": "None",
-      "Ratio": 0.0,
-      "LossMap": "<NOFILE>"
+      "Type": "Separate",
+      "Ratio": 1.0,
+      "LossMap": "AngularGear.vtlm"
     },
     "AxleConfig": {
       "Type": "4x2",
diff --git a/Generic Vehicles/Declaration Mode/40t Long Haul Truck/AngularGear.vtlm b/Generic Vehicles/Declaration Mode/40t Long Haul Truck/AngularGear.vtlm
new file mode 100644
index 0000000000000000000000000000000000000000..fcf2bcd7f19b54d13fd0c0fc1c8f566e67226b66
--- /dev/null
+++ b/Generic Vehicles/Declaration Mode/40t Long Haul Truck/AngularGear.vtlm	
@@ -0,0 +1,493 @@
+Input Speed [rpm],Input Torque [Nm],Torque Loss [Nm],Eff [-]
+0,-5000,115,0.977517106549365
+0,-4000,100,0.975609756097561
+0,-3000,85,0.972447325769854
+0,-2000,70,0.966183574879227
+0,-1000,55,0.947867298578199
+0,0,40,0
+0,1000,55,0.945
+0,2000,70,0.965
+0,3000,85,0.971666666666667
+0,4000,100,0.975
+0,5000,115,0.977
+0,6000,130,0.978333333333333
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+2100,35000,565,0.983857142857143
diff --git a/VECTO/GUI/F_VEH.Designer.vb b/VECTO/GUI/F_VEH.Designer.vb
index e4a1433afb9e08843601a2163ed0000729d301d2..95d28ffaedd7f1dd40b238484037e02f89e192fe 100644
--- a/VECTO/GUI/F_VEH.Designer.vb
+++ b/VECTO/GUI/F_VEH.Designer.vb
@@ -205,7 +205,7 @@ Partial Class F_VEH
 		'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(421, 721)
+		Me.ButOK.Location = New System.Drawing.Point(421, 697)
 		Me.ButOK.Name = "ButOK"
 		Me.ButOK.Size = New System.Drawing.Size(75, 23)
 		Me.ButOK.TabIndex = 5
@@ -216,7 +216,7 @@ Partial Class F_VEH
 		'
 		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(502, 721)
+		Me.ButCancel.Location = New System.Drawing.Point(502, 697)
 		Me.ButCancel.Name = "ButCancel"
 		Me.ButCancel.Size = New System.Drawing.Size(75, 23)
 		Me.ButCancel.TabIndex = 6
@@ -672,7 +672,7 @@ Partial Class F_VEH
 		'StatusStrip1
 		'
 		Me.StatusStrip1.Items.AddRange(New System.Windows.Forms.ToolStripItem() {Me.LbStatus})
-		Me.StatusStrip1.Location = New System.Drawing.Point(0, 747)
+		Me.StatusStrip1.Location = New System.Drawing.Point(0, 723)
 		Me.StatusStrip1.Name = "StatusStrip1"
 		Me.StatusStrip1.Size = New System.Drawing.Size(589, 22)
 		Me.StatusStrip1.SizingGrip = False
@@ -818,7 +818,7 @@ Partial Class F_VEH
 		Me.PnAll.Controls.Add(Me.GroupBox6)
 		Me.PnAll.Location = New System.Drawing.Point(6, 172)
 		Me.PnAll.Name = "PnAll"
-		Me.PnAll.Size = New System.Drawing.Size(575, 544)
+		Me.PnAll.Size = New System.Drawing.Size(575, 524)
 		Me.PnAll.TabIndex = 4
 		'
 		'GroupBox2
@@ -924,7 +924,7 @@ Partial Class F_VEH
 		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(589, 769)
+		Me.ClientSize = New System.Drawing.Size(589, 745)
 		Me.Controls.Add(Me.Label8)
 		Me.Controls.Add(Me.TbHDVclass)
 		Me.Controls.Add(Me.PicVehicle)
diff --git a/VECTO/Input Files/cVEH.vb b/VECTO/Input Files/cVEH.vb
index 4763a6b7037038f4eaa32d47aa0c9bc0655e5214..b3be987ff02821b18a5c7ba2f6c8b14e7b04680c 100644
--- a/VECTO/Input Files/cVEH.vb	
+++ b/VECTO/Input Files/cVEH.vb	
@@ -11,6 +11,7 @@
 Option Infer On
 
 Imports System.Collections.Generic
+Imports System.IO
 Imports System.Linq
 
 
@@ -53,10 +54,10 @@ Public Class cVEH
 	Public MassMax As Single
 	Public AxleConf As tAxleConf
 
-	Private MyFileList As List(Of String)
+	Private _myFileList As List(Of String)
 
 	Public SavedInDeclMode As Boolean
-	Public AngularGearType As tAngularGearType
+	Public AngularGearType As tAngularGearType '0=None, 1=Separate, 2=Included
 	Public AngularGearRatio As Single
 	Public AngularGearLossMapFile As cSubPath
 
@@ -72,22 +73,26 @@ Public Class cVEH
 
 
 	Public Function CreateFileList() As Boolean
-
-		MyFileList = New List(Of String)
+		_myFileList = New List(Of String)
 
 		'.vcdv  / .vcdb
-		If Me.CdMode = tCdMode.CdOfVeng Or Me.CdMode = tCdMode.CdOfBeta Then MyFileList.Add(Me.CdFile.FullPath)
+		If CdMode = tCdMode.CdOfVeng Or CdMode = tCdMode.CdOfBeta Then
+			_myFileList.Add(CdFile.FullPath)
+		End If
 
 		'Retarder
-		If Me.RtType <> tRtType.None Then MyFileList.Add(Me.RtFile.FullPath)
+		If RtType <> tRtType.None Then
+			_myFileList.Add(RtFile.FullPath)
+		End If
 
 		'Angular Gear
-		If AngularGearType <> tAngularGearType.None Then MyFileList.Add(Me.AngularGearLossMapFile.FullPath)
+		If AngularGearType <> tAngularGearType.None Then
+			_myFileList.Add(AngularGearLossMapFile.FullPath)
+		End If
 
 		Return True
 	End Function
 
-
 	Public Sub New()
 		MyPath = ""
 		sFilePath = ""
@@ -139,144 +144,129 @@ Public Class cVEH
 	End Sub
 
 	Public Function Validate() As Boolean
-		Dim MsgSrc As String
-		Dim Check As Boolean = True
-
-		MsgSrc = "VEH/Validate"
-
+		Const msgSrc = "VEH/Validate"
 		If rdyn < 100 Then
-			WorkerMsg(tMsgID.Err, "Parameter 'Dynamic Tire Radius' is invalid (" & rdyn & "mm).", MsgSrc, sFilePath)
-			Check = False
+			WorkerMsg(tMsgID.Err, "Parameter 'Dynamic Tire Radius' is invalid (" & rdyn & "mm).", msgSrc, sFilePath)
+			Return False
 		End If
-
-		Return Check
+		Return True
 	End Function
 
-	Public Function ReadFile(Optional ByVal ShowMsg As Boolean = True) As Boolean
-		Dim Itemp As Single
-		Dim a0 As cAxle
-		Dim JSON As New JSON
-		Dim dic As Object
-
-		Dim MsgSrc As String
-
-
-		MsgSrc = "VEH/ReadFile"
-
+	Public Function ReadFile(Optional showMsg As Boolean = True) As Boolean
+		Const msgSrc = "VEH/ReadFile"
 		SetDefault()
 
-		If Not JSON.ReadFile(sFilePath) Then Return False
+		Dim json As New JSON
+		If Not json.ReadFile(sFilePath) Then Return False
 
 		Try
+			Dim header = json.Content("Header")
+			Dim body = json.Content("Body")
 
-			FileVersion = JSON.Content("Header")("FileVersion")
-
+			FileVersion = header("FileVersion")
 			If FileVersion > 4 Then
-				SavedInDeclMode = JSON.Content("Body")("SavedInDeclMode")
+				SavedInDeclMode = body("SavedInDeclMode")
 			Else
 				SavedInDeclMode = Cfg.DeclMode
 			End If
 
+			Mass = body("CurbWeight")
+			MassExtra = body("CurbWeightExtra")
+			Loading = body("Loading")
+			VehCat = ConvVehCat(body("VehCat").ToString)
+			AxleConf = ConvAxleConf(body("AxleConfig")("Type").ToString)
 
-			Mass = JSON.Content("Body")("CurbWeight")
-			MassExtra = JSON.Content("Body")("CurbWeightExtra")
-			Loading = JSON.Content("Body")("Loading")
-			MassMax = JSON.Content("Body")("MassMax")
-			If FileVersion < 2 Then MassMax /= 1000
+			If FileVersion < 2 Then
+				'convert kg to ton
+				MassMax /= 1000
+			Else
+				MassMax = body("MassMax")
+			End If
 
 			If FileVersion < 7 Then
-				CdA0 = CSng(JSON.Content("Body")("Cd")) * CSng(JSON.Content("Body")("CrossSecArea"))
+				'calc CdA from Cd and area value
+				CdA0 = CSng(body("Cd")) * CSng(body("CrossSecArea"))
 			Else
-				CdA0 = JSON.Content("Body")("CdA")
+				CdA0 = body("CdA")
 			End If
 
 			CdA02 = CdA0
 
 			If FileVersion < 4 Then
-				If Not JSON.Content("Body")("CdRigid") Is Nothing AndAlso Not JSON.Content("Body")("CrossSecAreaRigid") Is Nothing _
-					Then
-					CdA02 = CSng(JSON.Content("Body")("CdRigid")) * CSng(JSON.Content("Body")("CrossSecAreaRigid"))
+				If Not body("CdRigid") Is Nothing AndAlso Not body("CrossSecAreaRigid") Is Nothing Then
+					CdA02 = CSng(body("CdRigid")) * CSng(body("CrossSecAreaRigid"))
 				End If
 			ElseIf FileVersion < 7 Then
-				If Not JSON.Content("Body")("Cd2") Is Nothing AndAlso Not JSON.Content("Body")("CrossSecArea2") Is Nothing Then
-					CdA02 = CSng(JSON.Content("Body")("Cd2")) * CSng(JSON.Content("Body")("CrossSecArea2"))
+				If Not body("Cd2") Is Nothing AndAlso Not body("CrossSecArea2") Is Nothing Then
+					CdA02 = CSng(body("Cd2")) * CSng(body("CrossSecArea2"))
 				End If
 			Else
-				If Not JSON.Content("Body")("CdA2") Is Nothing Then CdA02 = JSON.Content("Body")("CdA2")
+				If Not body("CdA2") Is Nothing Then
+					CdA02 = body("CdA2")
+				End If
 			End If
 
 			CdA0Act = CdA0
 
-			If FileVersion < 3 Then
-				Itemp = JSON.Content("Body")("WheelsInertia")
-				rdyn = 1000 * JSON.Content("Body")("WheelsDiaEff") / 2
-				Rim = "-"
-			Else
-				Rim = JSON.Content("Body")("Rim")
-				rdyn = JSON.Content("Body")("rdyn")
+			CdMode = CdModeConv(body("CdCorrMode").ToString)
+			If Not body("CdCorrFile") Is Nothing Then
+				CdFile.Init(MyPath, body("CdCorrFile"))
 			End If
 
-			CdMode = CdModeConv(JSON.Content("Body")("CdCorrMode").ToString)
-			If Not JSON.Content("Body")("CdCorrFile") Is Nothing Then CdFile.Init(MyPath, JSON.Content("Body")("CdCorrFile"))
-
-			If JSON.Content("Body")("Retarder") Is Nothing Then
+			If body("Retarder") Is Nothing Then
 				RtType = tRtType.None
 			Else
-				RtType = RtTypeConv(JSON.Content("Body")("Retarder")("Type").ToString)
-				If Not JSON.Content("Body")("Retarder")("Ratio") Is Nothing Then RtRatio = JSON.Content("Body")("Retarder")("Ratio")
-				If Not JSON.Content("Body")("Retarder")("File") Is Nothing Then _
-					RtFile.Init(MyPath, JSON.Content("Body")("Retarder")("File"))
+				RtType = RtTypeConv(body("Retarder")("Type").ToString)
+				If Not body("Retarder")("Ratio") Is Nothing Then
+					RtRatio = body("Retarder")("Ratio")
+				End If
+				If Not body("Retarder")("File") Is Nothing Then
+					RtFile.Init(MyPath, body("Retarder")("File"))
+				End If
 			End If
 
-			If JSON.Content("Body")("AngularGear") Is Nothing Then
+			If body("AngularGear") Is Nothing Then
 				AngularGearType = tAngularGearType.None
 			Else
-				AngularGearType = AngularGearTypeConverter(JSON.Content("Body")("AngularGear")("Type").ToString)
-
-				If Not JSON.Content("Body")("AngularGear")("Ratio") Is Nothing Then _
-					AngularGearRatio = JSON.Content("Body")("AngularGear")("Ratio")
-				If Not JSON.Content("Body")("AngularGear")("LossMap") Is Nothing Then _
-					AngularGearLossMapFile.Init(MyPath, JSON.Content("Body")("AngularGear")("LossMap"))
+				AngularGearType = AngularGearTypeConverter(body("AngularGear")("Type").ToString)
+				If Not body("AngularGear")("Ratio") Is Nothing Then
+					AngularGearRatio = body("AngularGear")("Ratio")
+				End If
+				If Not body("AngularGear")("LossMap") Is Nothing Then
+					AngularGearLossMapFile.Init(MyPath, body("AngularGear")("LossMap"))
+				End If
 			End If
 
+			Dim inertiaTemp As Single
+			If FileVersion < 3 Then
+				inertiaTemp = body("WheelsInertia")
+				rdyn = 1000 * body("WheelsDiaEff") / 2
+				Rim = "-"
+			Else
+				Rim = body("Rim")
+				rdyn = body("rdyn")
+			End If
 
-			VehCat = ConvVehCat(JSON.Content("Body")("VehCat").ToString)
-			AxleConf = ConvAxleConf(JSON.Content("Body")("AxleConfig")("Type").ToString)
-
-			For Each dic In JSON.Content("Body")("AxleConfig")("Axles")
-
-				a0 = New cAxle
+			Dim axleCount = body("AxleConfig")("Axles").Count()
+			For Each axleEntry In body("AxleConfig")("Axles")
+				Dim axle = New cAxle With {
+						.Share = CSng(axleEntry("AxleWeightShare")),
+						.TwinTire = CBool(axleEntry("TwinTyres")),
+						.RRC = CSng(axleEntry("RRCISO")),
+						.FzISO = CSng(axleEntry("FzISO"))}
 
 				If FileVersion < 3 Then
-					a0.Wheels = "-"
+					axle.Wheels = "-"
+					axle.Inertia = inertiaTemp / (IIf(axle.TwinTire, 4, 2) * axleCount)
 				Else
-					a0.Inertia = CSng(dic("Inertia"))
-					a0.Wheels = CStr(dic("Wheels"))
-					If FileVersion < 6 Then a0.Wheels = a0.Wheels.Replace("R ", "R")
+					axle.Wheels = CStr(axleEntry("Wheels")).Replace("R ", "R")
+					axle.Inertia = CSng(axleEntry("Inertia"))
 				End If
-
-				a0.Share = CSng(dic("AxleWeightShare"))
-				a0.TwinTire = CBool(dic("TwinTyres"))
-				a0.RRC = CSng(dic("RRCISO"))
-				a0.FzISO = CSng(dic("FzISO"))
-
-				Axles.Add(a0)
-
+				Axles.Add(axle)
 			Next
 
-			If FileVersion < 3 Then
-				For Each a0 In Axles
-					If a0.TwinTire Then
-						a0.Inertia = Itemp / (4 * Axles.Count)
-					Else
-						a0.Inertia = Itemp / (2 * Axles.Count)
-					End If
-				Next
-			End If
-
-
 		Catch ex As Exception
-			If ShowMsg Then WorkerMsg(tMsgID.Err, "Failed to read Vehicle file! " & ex.Message, MsgSrc)
+			If showMsg Then WorkerMsg(tMsgID.Err, "Failed to read Vehicle file! " & ex.Message, msgSrc)
 			Return False
 		End Try
 
@@ -287,6 +277,7 @@ Public Class cVEH
 		SavedInDeclMode = Cfg.DeclMode
 
 		Dim json As New JSON
+		'Header
 		json.Content.Add("Header", New Dictionary(Of String, Object) From {
 							{"CreatedBy", Lic.LicString & " (" & Lic.GUID & ")"},
 							{"Date", Now.ToString},
@@ -333,14 +324,14 @@ Public Class cVEH
 
 
 	Public Function DeclInitCycle() As Boolean
-		Dim MsgSrc = "VEH/DeclInit"
-		Dim MissionID = Declaration.CurrentMission.MissionID
+		Const msgSrc = "VEH/DeclInit"
+		Dim missionId = Declaration.CurrentMission.MissionID
 
-		MassExtra = Declaration.SegRef.GetBodyTrWeight(MissionID)
+		MassExtra = Declaration.SegRef.GetBodyTrWeight(missionId)
 
-		Dim al = Declaration.SegRef.AxleShares(MissionID)
+		Dim al = Declaration.SegRef.AxleShares(missionId)
 		If al.Count > Axles.Count Then
-			WorkerMsg(tMsgID.Err, "Invalid number of axles! Defined: " & Axles.Count & ", required: " & al.Count, MsgSrc)
+			WorkerMsg(tMsgID.Err, "Invalid number of axles! Defined: " & Axles.Count & ", required: " & al.Count, msgSrc)
 			Return False
 		End If
 
@@ -356,8 +347,8 @@ Public Class cVEH
 		Loop
 
 		'(Semi-) Trailer
-		If Not Declaration.SegRef.TrailerOnlyInLongHaul OrElse MissionID = tMission.LongHaul Then
-			al = Declaration.SegRef.AxleSharesTr(MissionID)
+		If Not Declaration.SegRef.TrailerOnlyInLongHaul OrElse missionId = tMission.LongHaul Then
+			al = Declaration.SegRef.AxleSharesTr(missionId)
 			For Each a In al
 				Dim a0 = New cAxle
 				a0.Inertia = 0	 'Defined later
@@ -374,19 +365,19 @@ Public Class cVEH
 		For Each a0 In Axles
 			a0.Inertia = Declaration.WheelsInertia(a0.Wheels)
 			If a0.Inertia < 0 Then
-				WorkerMsg(tMsgID.Err, "Selected wheels (" & a0.Wheels & ") are not supported!", MsgSrc)
+				WorkerMsg(tMsgID.Err, "Selected wheels (" & a0.Wheels & ") are not supported!", msgSrc)
 				Return False
 			End If
 		Next
 
 		CdMode = tCdMode.CdOfVdecl
-		If Not Declaration.SegRef.VCDVparam.ContainsKey(MissionID) Then
-			WorkerMsg(tMsgID.Err, "No Cross Wind Correction parameters defined for current vehicle & mission profile!", MsgSrc)
+		If Not Declaration.SegRef.VCDVparam.ContainsKey(missionId) Then
+			WorkerMsg(tMsgID.Err, "No Cross Wind Correction parameters defined for current vehicle & mission profile!", msgSrc)
 			Return False
 		End If
 
 		If Declaration.SegRef.TrailerOnlyInLongHaul Then
-			If MissionID = tMission.LongHaul Then
+			If missionId = tMission.LongHaul Then
 				CdA0Act = CdA0
 			Else
 				CdA0Act = CdA02
@@ -402,38 +393,32 @@ Public Class cVEH
 		End If
 
 		If rdyn < 0 Then
-			WorkerMsg(tMsgID.Err, "Failed to calculate dynamic tire radius! Check wheels/rims", MsgSrc)
+			WorkerMsg(tMsgID.Err, "Failed to calculate dynamic tire radius! Check wheels/rims", msgSrc)
 			Return False
 		End If
 
 		Return True
 	End Function
 
-	Public Function DeclInitLoad(ByVal LoadingID As tLoading) As Boolean
-		Dim lmax As Single
-		Dim MissionID As tMission
-		Dim MsgSrc As String
-
-		MsgSrc = "VEH/DeclInit"
+	Public Function DeclInitLoad(loadingId As tLoading) As Boolean
+		Const msgSrc = "VEH/DeclInit"
 
-		MissionID = Declaration.CurrentMission.MissionID
+		Dim missionId As tMission = Declaration.CurrentMission.MissionID
+		Dim lmax = MassMax * 1000 - Mass - MassExtra
 
-
-		lmax = MassMax * 1000 - Mass - MassExtra
-
-		Select Case LoadingID
+		Select Case loadingId
 			Case tLoading.FullLoaded
 				Loading = lmax
 
 			Case tLoading.RefLoaded
-				Loading = Declaration.SegRef.GetLoading(MissionID, MassMax)
+				Loading = Declaration.SegRef.GetLoading(missionId, MassMax)
 				If Loading < 0 Then
-					WorkerMsg(tMsgID.Err, "Invalid loading in segement table!", MsgSrc)
+					WorkerMsg(tMsgID.Err, "Invalid loading in segement table!", msgSrc)
 					Return False
 				End If
 
 				If Loading > lmax Then
-					WorkerMsg(tMsgID.Warn, "Reference loading > Max. loading! Using max. loading.", MsgSrc)
+					WorkerMsg(tMsgID.Warn, "Reference loading > Max. loading! Using max. loading.", msgSrc)
 					Loading = lmax
 				End If
 
@@ -441,7 +426,7 @@ Public Class cVEH
 				Loading = 0
 
 			Case Else ' tLoading.EmptyLoaded
-				WorkerMsg(tMsgID.Err, "tLoading.UserDefLoaded not allowed!", MsgSrc)
+				WorkerMsg(tMsgID.Err, "tLoading.UserDefLoaded not allowed!", msgSrc)
 				Return False
 
 		End Select
@@ -451,21 +436,14 @@ Public Class cVEH
 
 
 	Public Function VehmodeInit() As Boolean
-
-		Dim MsgSrc As String
-		Dim a0 As cAxle
-		Dim ShareSum As Double
-		Dim RRC As Double
-		Dim nrwheels As Single
-
-		MsgSrc = "VEH/Init"
+		Const msgSrc = "VEH/Init"
 
 		'Cd-Init
 		If Not CdInit() Then Return False
 
 		'Transmission Loss Maps
 		If Not GBX.TrLossMapInit Then
-			WorkerMsg(tMsgID.Err, "Failed to initialize Transmission Loss Maps!", MsgSrc)
+			WorkerMsg(tMsgID.Err, "Failed to initialize Transmission Loss Maps!", msgSrc)
 			Return False
 		End If
 
@@ -474,53 +452,49 @@ Public Class cVEH
 
 		'Fr0
 		If Axles.Count < 2 Then
-			WorkerMsg(tMsgID.Err, "At least 2 axle configurations are required!", MsgSrc, "<GUI>" & sFilePath)
+			WorkerMsg(tMsgID.Err, "At least 2 axle configurations are required!", msgSrc, "<GUI>" & sFilePath)
 			Return False
 		End If
 
 		'Check if sum=100%
-		ShareSum = 0
-		For Each a0 In Axles
-			ShareSum += a0.Share
-		Next
-
-		If Math.Abs(ShareSum - 1) > 0.0001 Then
-			WorkerMsg(tMsgID.Err, "Sum of relative axle shares is not 100%!", MsgSrc, "<GUI>" & sFilePath)
+		If Math.Abs(Axles.Sum(Function(axle) axle.Share) - 1) > 0.0001 Then
+			WorkerMsg(tMsgID.Err, "Sum of relative axle shares is not 100%!", msgSrc, "<GUI>" & sFilePath)
 			Return False
 		End If
 
 		If rdyn <= 0 Then
-			WorkerMsg(tMsgID.Err, "rdyn is invalid!", MsgSrc, "<GUI>" & sFilePath)
+			WorkerMsg(tMsgID.Err, "rdyn is invalid!", msgSrc, "<GUI>" & sFilePath)
 			Return False
 		End If
 
-		RRC = 0
+		Dim rrc = 0.0
 		m_red0 = 0
 		For Each a0 In Axles
 
 			If a0.RRC < -0.000001 Then
-				WorkerMsg(tMsgID.Err, "Invalid RRC value! (" & a0.RRC & ")", MsgSrc, "<GUI>" & sFilePath)
+				WorkerMsg(tMsgID.Err, "Invalid RRC value! (" & a0.RRC & ")", msgSrc, "<GUI>" & sFilePath)
 				Return False
 			End If
 
 			If a0.FzISO < 0.00001 Then
-				WorkerMsg(tMsgID.Err, "Invalid FzISO value! (" & a0.FzISO & ")", MsgSrc, "<GUI>" & sFilePath)
+				WorkerMsg(tMsgID.Err, "Invalid FzISO value! (" & a0.FzISO & ")", msgSrc, "<GUI>" & sFilePath)
 				Return False
 			End If
 
+			Dim nrwheels As Single
 			If a0.TwinTire Then
 				nrwheels = 4
 			Else
 				nrwheels = 2
 			End If
 
-			RRC += a0.Share * (a0.RRC * ((Loading + Mass + MassExtra) * a0.Share * 9.81 / (a0.FzISO * nrwheels)) ^ (0.9 - 1)) 'Beta=0.9
+			rrc += a0.Share * (a0.RRC * ((Loading + Mass + MassExtra) * a0.Share * 9.81 / (a0.FzISO * nrwheels)) ^ (0.9 - 1)) 'Beta=0.9
 
 			m_red0 += nrwheels * a0.Inertia / ((rdyn / 1000) ^ 2)
 
 		Next
 
-		siFr0 = RRC
+		siFr0 = rrc
 
 		Return True
 	End Function
@@ -530,19 +504,18 @@ Public Class cVEH
 
 	Private Function CdInit() As Boolean
 		Dim file As cFile_V3
-		Dim MsgSrc As String
 		Dim line As String()
 
-		MsgSrc = "VEH/CdInit"
+		Const msgSrc = "VEH/CdInit"
 
 		'Warn If Vair specified in DRI but CdType != CdOfBeta
 		If DRI.VairVorg Xor CdMode = tCdMode.CdOfBeta Then
 
 			If DRI.VairVorg Then
 				WorkerMsg(tMsgID.Warn, "Vair input in driving cycle will be irgnored! (Side wind correction disabled in .veh file)",
-						MsgSrc)
+						msgSrc)
 			Else
-				WorkerMsg(tMsgID.Err, "No Vair input in driving cycle defined! Vres and Beta is required!", MsgSrc)
+				WorkerMsg(tMsgID.Err, "No Vair input in driving cycle defined! Vres and Beta is required!", msgSrc)
 				Return False
 			End If
 
@@ -559,7 +532,7 @@ Public Class cVEH
 		file = New cFile_V3
 
 		If Not file.OpenRead(CdFile.FullPath) Then
-			WorkerMsg(tMsgID.Err, "Failed to read Cd input file! (" & CdFile.FullPath & ")", MsgSrc)
+			WorkerMsg(tMsgID.Err, "Failed to read Cd input file! (" & CdFile.FullPath & ")", msgSrc)
 			Return False
 		End If
 
@@ -578,7 +551,7 @@ Public Class cVEH
 				CdX.Add(CSng(line(0)))
 				CdY.Add(CSng(line(1)))
 			Catch ex As Exception
-				WorkerMsg(tMsgID.Err, "Error during file read! Line number: " & CdDim + 1 & " (" & CdFile.FullPath & ")", MsgSrc,
+				WorkerMsg(tMsgID.Err, "Error during file read! Line number: " & CdDim + 1 & " (" & CdFile.FullPath & ")", msgSrc,
 						CdFile.FullPath)
 				file.Close()
 				Return False
@@ -589,7 +562,7 @@ Public Class cVEH
 		file.Close()
 
 		If CdDim < 1 Then
-			WorkerMsg(tMsgID.Err, "Cd input file invalid! Two or more lines required! (" & CdFile.FullPath & ")", MsgSrc,
+			WorkerMsg(tMsgID.Err, "Cd input file invalid! Two or more lines required! (" & CdFile.FullPath & ")", msgSrc,
 					CdFile.FullPath)
 			Return False
 		End If
@@ -600,26 +573,11 @@ Public Class cVEH
 	Private Function CdofVdeclInit() As Boolean
 		Dim lBeta As New List(Of Single)
 		Dim lDeltaCdA As New List(Of Single)
-		Dim i As Integer
-		Dim j As Integer
-		Dim k As Integer
-		Dim vveh As Single
-		Dim alpha As Single
 		Dim beta As Single
-		Dim CdA As Single
-		Dim CdAsum As Single
-		Dim Vwind As Single
-		Dim VwindX As Single
-		Dim VwindY As Single
-		Dim vair As Single
-		Dim vairX As Single
-		Dim vairY As Single
 		Dim a As List(Of Single)
-		Dim iDim As Integer
-		Dim DeltaCdA As Single
 		Dim share As Single
 
-		Vwind = cDeclaration.Vwind * 3.6
+		Const vwind = cDeclaration.Vwind * 3.6
 
 		Try
 			If Cfg.DeclMode Then
@@ -637,7 +595,7 @@ Public Class cVEH
 			lDeltaCdA.Add(a(0) * beta + a(1) * beta ^ 2 + a(2) * beta ^ 3)
 		Next
 
-		iDim = lBeta.Count - 1
+		Dim iDim As Integer = lBeta.Count - 1
 
 		CdX.Clear()
 		CdY.Clear()
@@ -646,18 +604,19 @@ Public Class cVEH
 		CdX.Add(0)
 		CdY.Add(0)
 		For i = 60 To 100 Step 5
-			vveh = CSng(i)
+			Dim vveh = CSng(i)
 
-			CdAsum = 0
+			Dim cdAsum As Single = 0
 			For j = 0 To 180 Step 10
-				alpha = CSng(j)
-				VwindX = Vwind * Math.Cos(alpha * Math.PI / 180)
-				VwindY = Vwind * Math.Sin(alpha * Math.PI / 180)
-				vairX = vveh + VwindX
-				vairY = VwindY
-				vair = Math.Sqrt(vairX ^ 2 + vairY ^ 2)
+				Dim alpha = CSng(j)
+				Dim vwindX As Single = vwind * Math.Cos(alpha * Math.PI / 180)
+				Dim vwindY As Single = vwind * Math.Sin(alpha * Math.PI / 180)
+				Dim vairX As Single = vveh + vwindX
+				Dim vairY As Single = vwindY
+				Dim vair As Single = Math.Sqrt(vairX ^ 2 + vairY ^ 2)
 				beta = Math.Atan(vairY / vairX) * 180 / Math.PI
 
+				Dim k As Integer
 				If lBeta(0) >= beta Then
 					k = 1
 				Else
@@ -666,9 +625,10 @@ Public Class cVEH
 						k += 1
 					Loop
 				End If
-				DeltaCdA = (beta - lBeta(k - 1)) * (lDeltaCdA(k) - lDeltaCdA(k - 1)) / (lBeta(k) - lBeta(k - 1)) + lDeltaCdA(k - 1)
+				Dim deltaCdA = (beta - lBeta(k - 1)) * (lDeltaCdA(k) - lDeltaCdA(k - 1)) / (lBeta(k) - lBeta(k - 1)) +
+								lDeltaCdA(k - 1)
 
-				CdA = CdA0Act + DeltaCdA
+				Dim cdA = CdA0Act + deltaCdA
 
 				If j = 0 OrElse j = 180 Then
 					share = 5 / 180
@@ -676,22 +636,19 @@ Public Class cVEH
 					share = 10 / 180
 				End If
 
-				CdAsum += share * CdA * (vair ^ 2 / vveh ^ 2)
+				cdAsum += share * cdA * (vair ^ 2 / vveh ^ 2)
 
 			Next
-
 			CdX.Add(vveh)
-			CdY.Add(CdAsum)
-
+			CdY.Add(cdAsum)
 		Next
-
 		CdY(0) = CdY(1)
 		CdDim = CdX.Count - 1
 
 		Return True
 	End Function
 
-	Public Function CdA_Y(ByVal x As Single) As Single
+	Public Function CdA_Y(x As Single) As Single
 		Return CdIntpol(x)
 	End Function
 
@@ -700,7 +657,7 @@ Public Class cVEH
 		Return CdA0Act
 	End Function
 
-	Private Function CdIntpol(ByVal x As Single) As Single
+	Private Function CdIntpol(x As Single) As Single
 		Dim i As Int32
 
 		'Extrapolation for x < x(1)
@@ -741,17 +698,16 @@ lbInt:
 
 	Private Function RtInit() As Boolean
 		Dim file As cFile_V3
-		Dim MsgSrc As String
 		Dim line As String()
 
-		MsgSrc = "VEH/RtInit"
+		Const msgSrc = "VEH/RtInit"
 
 		If RtType = tRtType.None Then Return True
 
 		'Read Inputfile
 		file = New cFile_V3
 		If Not file.OpenRead(RtFile.FullPath) Then
-			WorkerMsg(tMsgID.Err, "Failed to read Retarder input file! (" & RtFile.FullPath & ")", MsgSrc)
+			WorkerMsg(tMsgID.Err, "Failed to read Retarder input file! (" & RtFile.FullPath & ")", msgSrc)
 			Return False
 		End If
 
@@ -768,7 +724,7 @@ lbInt:
 				RtnU.Add(CSng(line(0)))
 				RtM.Add(CSng(line(1)))
 			Catch ex As Exception
-				WorkerMsg(tMsgID.Err, "Error during file read! Line number: " & RtDim + 1 & " (" & RtFile.FullPath & ")", MsgSrc,
+				WorkerMsg(tMsgID.Err, "Error during file read! Line number: " & RtDim + 1 & " (" & RtFile.FullPath & ")", msgSrc,
 						RtFile.FullPath)
 				file.Close()
 				Return False
@@ -779,7 +735,7 @@ lbInt:
 		file.Close()
 
 		If RtDim < 1 Then
-			WorkerMsg(tMsgID.Err, "Retarder input file invalid! Two or more lines required! (" & RtFile.FullPath & ")", MsgSrc,
+			WorkerMsg(tMsgID.Err, "Retarder input file invalid! Two or more lines required! (" & RtFile.FullPath & ")", msgSrc,
 					RtFile.FullPath)
 			Return False
 		End If
@@ -788,31 +744,22 @@ lbInt:
 	End Function
 
 
-	Public Function RtPeLoss(ByVal v As Single, ByVal Gear As Integer) As Single
-		Dim M As Single
+	Public Function RtPeLoss(v As Single, gear As Integer) As Single
 		Dim nU As Single
 
 		Select Case RtType
-
 			Case tRtType.Primary
-				nU = (60 * v) / (2 * VEH.rdyn * Math.PI / 1000) * GBX.Igetr(0) * GBX.Igetr(Gear) * RtRatio
-
+				nU = (60 * v) / (2 * VEH.rdyn * Math.PI / 1000) * GBX.Igetr(0) * GBX.Igetr(gear) * RtRatio
 			Case tRtType.Secondary
 				nU = (60 * v) / (2 * VEH.rdyn * Math.PI / 1000) * GBX.Igetr(0) * RtRatio
-
 			Case Else 'tRtType.None
 				Return 0
-
 		End Select
-
-		M = RtIntpol(nU)
-
-		Return M * nU * 2 * Math.PI / 60 / 1000
+		Return RtIntpol(nU) * nU * 2 * Math.PI / 60 / 1000
 	End Function
 
-	Private Function RtIntpol(ByVal nU As Single) As Single
+	Private Function RtIntpol(nU As Single) As Single
 		Dim i As Int32
-
 		'Extrapolation for x < x(1)
 		If RtnU(0) >= nU Then
 			If RtnU(0) > nU Then MODdata.ModErrors.RtExtrapol = "n= " & nU & " [1/min]"
@@ -839,7 +786,7 @@ lbInt:
 
 	Public ReadOnly Property FileList As List(Of String)
 		Get
-			Return MyFileList
+			Return _myFileList
 		End Get
 	End Property
 
@@ -867,11 +814,10 @@ lbInt:
 			If sFilePath = "" Then
 				MyPath = ""
 			Else
-				MyPath = IO.Path.GetDirectoryName(sFilePath) & "\"
+				MyPath = Path.GetDirectoryName(sFilePath) & "\"
 			End If
 		End Set
 	End Property
 
-
 #End Region
 End Class
\ No newline at end of file