Vehicle Databases

Create, Convert, and Edit vehicle databases

Databases of Vehicles


WinProp can work with all types of vehicles: Cars, planes, and even trains. The objetcs in the database can be combined to groups (with identical or individual material properties).
The user can define for each type of material if the correspodning objects are considered for reflection, transmission, or diffraction. This helps to reduce the computation time significantly even if databases with a very high number of objects (polygons) are used.

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Import of databases


WallMan offers several converters for popular 3D CAD file formats, often used by 3D vehicle designers. The following file formats are supported:

  • Data Exchange Format (DXF)

  • AutoCAD Drawing Format (DWG)

  • Stereolithography File Format (STL)

  • Nastran File Format (NAS)

All kinds of vehicles are supported: Trains, aircrafts and cars.
And of course also all other types of objects (roads, buildings, ...) described with CAD data files.

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3D CAD model of a car.

Simplification of databases


As vehicle databases are extreme complex and consist of thousands of polygons, a simplification tool was developed and implemented in WallMan. Thus, complex databases can be simplified by combining adjacent polygons to larger polygons. This leads to fewer elements in the database and shorter computation times.





 

Presentation related to time-variant scenarios.

Read more about  WallMan

Read more about predictions inside vehicles

Read more about time-variant scenarios 

 

Example 1: German High Speed Train: Intercity Express (ICE)

This model is the German Intercity Express (ICE),
 used for planning the GSM/UMTS coverage inside the train
and for train-to-infrastructure communication issues.

Example 2: Plane: McDonnell Douglas DC 10

 

This is a model of an McDonnell Douglas DC 10 aircraft,
used for predictions concerning the topic "GSM on aircraft".
The model is made of about 10,000 polygons.

Example 3: Car: BMW 7 Series

 

This model is a BMW 7 series car. More than 20,000 polygons are used to describe the car.
The tires are not shown, as they are not required for the predictions.

Example 4: Car: Mercedes SLR

 

This model is the Mercedes SLR sports car.
More than 180,000 polygons are used to describe the car.