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Authors: Jindong Bian ; Bin Qiu ; Yahui Liu and Haotian Su

Affiliation: State Key Laboratory of Automotive Safety and Energy and Tsinghua University, China

ISBN: 978-989-758-293-6

Keyword(s): Adaptive Cruise Control, Model Predictive Control, Road Grade Prediction, Electric Bus.

Abstract: Adaptive Cruise Control (ACC) makes the driving experience safer and more pleasurable. To comprehensively deal with tracking capability and energy consumption issue of ACC-activated vehicle on rugged roads, this paper presents a MPC based vehicular following control algorithm with road grade prediction. A simulation model of ACC for electric bus based on MPC is built for analysing the performance of the algorithm. The simulation results show that road grade prediction can improve improves both energy consumption and tracking capability.

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Paper citation in several formats:
Bian, J.; Qiu, B.; Liu, Y. and Su, H. (2018). Adaptive Cruise Control for Electric Bus based on Model Predictive Control with Road Grade Prediction.In Proceedings of the 4th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS, ISBN 978-989-758-293-6, pages 217-224. DOI: 10.5220/0006641702170224

@conference{vehits18,
author={Jindong Bian. and Bin Qiu. and Yahui Liu. and Haotian Su.},
title={Adaptive Cruise Control for Electric Bus based on Model Predictive Control with Road Grade Prediction},
booktitle={Proceedings of the 4th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,},
year={2018},
pages={217-224},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006641702170224},
isbn={978-989-758-293-6},
}

TY - CONF

JO - Proceedings of the 4th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,
TI - Adaptive Cruise Control for Electric Bus based on Model Predictive Control with Road Grade Prediction
SN - 978-989-758-293-6
AU - Bian, J.
AU - Qiu, B.
AU - Liu, Y.
AU - Su, H.
PY - 2018
SP - 217
EP - 224
DO - 10.5220/0006641702170224

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