Vehicle Acceleration Prediction using Specific Road Curvature Points

نویسندگان

  • Ausra Vidugiriene
  • Andriejus Demcenko
  • Minija Tamosiunaite
چکیده

In the work vehicle acceleration prediction issue is discussed. Three types of parameters are used for prediction system input: CAN-bus parameters – speed and curvature, derived speed parameters and newly offered specific curve point parameters, denoting changes in a curve. The real road data was used for predictions. Road curvature segments were divided into single and S-type curves. Acceleration was predicted using artificial neural networks and look-up table. The look-up table method showed the best results with newly offered specific curve parameters.

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تاریخ انتشار 2009