Vehicle Acceleration Prediction Using Specific Road Curvature Points

Vidugiriene, A., Demcenko, A. and Tamosiunaite, M. (2009) Vehicle Acceleration Prediction Using Specific Road Curvature Points. In: 6th International Conference on Informatics in Control, Automation and Robotics ICINCO 2009, Milan, Italy, 2-5- July 2009,

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Abstract

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.

Item Type:Conference Proceedings
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Demcenko, Dr Andriejus
Authors: Vidugiriene, A., Demcenko, A., and Tamosiunaite, M.
College/School:College of Science and Engineering > School of Engineering > Biomedical Engineering

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