VEHICLE ACCELERATION PREDICTION USING SPECIFIC ROAD CURVATURE POINTS

Aušra Vidugirienė, Andriejus Demčenko, Minija Tamošiūnaitė

2009

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.

Paper Citation

in Harvard Style

Vidugirienė A., Demčenko A. and Tamošiūnaitė M. (2009). VEHICLE ACCELERATION PREDICTION USING SPECIFIC ROAD CURVATURE POINTS . In Proceedings of the 6th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-989-674-000-9, pages 147-152. DOI: 10.5220/0002173401470152

in Bibtex Style

@conference{icinco09,
author={Aušra Vidugirienė and Andriejus Demčenko and Minija Tamošiūnaitė},
title={VEHICLE ACCELERATION PREDICTION USING SPECIFIC ROAD CURVATURE POINTS},
booktitle={Proceedings of the 6th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2009},
pages={147-152},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002173401470152},
isbn={978-989-674-000-9},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 6th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - VEHICLE ACCELERATION PREDICTION USING SPECIFIC ROAD CURVATURE POINTS
SN - 978-989-674-000-9
AU - Vidugirienė A.
AU - Demčenko A.
AU - Tamošiūnaitė M.
PY - 2009
SP - 147
EP - 152
DO - 10.5220/0002173401470152