AUTOMATED CAR-FOLLOWING ALGORITHM CONSIDERING PASSENGER MOTION SICKNESS
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- 価格
- 一般価格(税込):¥1,100 会員価格(税込):¥880
- 文献番号
- 20219076
- 文献・情報種別
- その他の国際会議
- 掲載ページ
- 1-6(Total 6 p)
- 発行年月
- 2021年 9月
- 出版社
- (公社)自動車技術会
- 言語
- 英語
書誌事項
著者(英) | 1) Daofei Li, 2) Biao Xu, 3) Linhui Chen, 4) Jiankan Hu |
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勤務先(英) | 1) Zhejiang University, 2) Zhejiang University, 3) Zhejiang University, 4) Zhejiang University |
抄録(英) | In future fully-automated vehicles, the driver role will change to be passenger, which might cause some unnecessary ride comfort challenges, especially passenger motion sickness in crowded urban traffic. The main idea of this paper is to directly include the motion sickness model into the automated car-following algorithm design, which is based on a model predictive control framework. Simulation results show that it can reduce the motion sickness of passenger in carfollowing scenarios. Comparing with that of the jerk-optimized car-following algorithm, the motion sickness incidence of the proposed algorithm is 7.3% lower, without sacrificing any car-following headway accuracy. 翻訳 |