Model Predictive Enhanced Adaptive Cruise Control for Multiple Driving Situations

Yongqiang DIng, Huiyan Chen, Jianwei Gong, Guangming Xiong, Gang Wang

科研成果: 书/报告/会议事项章节会议稿件同行评审

7 引用 (Scopus)

摘要

This paper presents an Enhanced Adaptive Cruise Control (EACC) framework that can work in different modes according to the forward targets. The EACC system, which was proposed in this paper, is based on a unified model and can achieve speed tracking, stop go and autonomous emergency braking (AEB). Notably, speed tracking does not require a real preceding vehicle, a virtual vehicle can be set in front of the EACC vehicle. The mathematical method of setting the virtual preceding vehicle and the switching logic between the different working modes of the EACC system were given. Employing a constraints softening method to avoid computing infeasibility, an optimal control law is numerically calculated using the CVXGEN solver. Finally, real vehicle tests show that the EACC framework provides significant benefits in terms of speed-tracking capability, safety and comfort requirements while satisfying driver desired car following characteristics for different driving situations.

源语言英语
主期刊名2018 IEEE Intelligent Vehicles Symposium, IV 2018
出版商Institute of Electrical and Electronics Engineers Inc.
1717-1722
页数6
ISBN(电子版)9781538644522
DOI
出版状态已出版 - 18 10月 2018
活动2018 IEEE Intelligent Vehicles Symposium, IV 2018 - Changshu, Suzhou, 中国
期限: 26 9月 201830 9月 2018

出版系列

姓名IEEE Intelligent Vehicles Symposium, Proceedings
2018-June

会议

会议2018 IEEE Intelligent Vehicles Symposium, IV 2018
国家/地区中国
Changshu, Suzhou
时期26/09/1830/09/18

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