AUTOMATED CAR-FOLLOWING ALGORITHM CONSIDERING PASSENGER MOTION SICKNESS
- Delivery
- Available on this site
- Format
- Price
- Non-members (tax incl.):¥1,100 Members (tax incl.):¥880
- Publication code
- 20219076
- Paper/Info type
- Other International Conferences
- Pages
- 1-6(Total 6 p)
- Date of publication
- Sep 2021
- Publisher
- JSAE
- Language
- English
Detailed Information
Author(E) | 1) Daofei Li, 2) Biao Xu, 3) Linhui Chen, 4) Jiankan Hu |
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Affiliation(E) | 1) Zhejiang University, 2) Zhejiang University, 3) Zhejiang University, 4) Zhejiang University |
Abstract(E) | 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. |