Research on the warning effect of human-machine takeover signal of intelligent vehicle based on driving simulator

Jinchong Zhang; Zhibo Yang; Shuda Wang; Yao Wang; Juan Shi; Jianping Guo

doi:10.1117/12.2689717

7 September 2023 Research on the warning effect of human-machine takeover signal of intelligent vehicle based on driving simulator

Jinchong Zhang, Zhibo Yang, Shuda Wang, Yao Wang, Juan Shi, Jianping Guo

Author Affiliations +

Proceedings Volume 12790, Eighth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023); 127902M (2023) https://doi.org/10.1117/12.2689717
Event: 8th International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023), 2023, Hangzhou, China

Abstract

When encountering dangerous scenarios that is difficult to deal with, intelligent vehicles should prompt the driver to take over the driving right of the vehicle. The effect of the take-over warning signal is related to the driving safety. The human-machine takeover experiment of intelligent vehicle is carried out through the driving simulator, the reaction time of the driver is analyzed, and the effects of different warning modes are studied. The results show that: warning signal can obviously shorten the driver's reaction time and improve driving safety; the combination of visual and auditory signal is better than a single warning signal; there is an interaction effect between auditory and visual signals; the effect of auditory signal is better than that of visual signal when there is a single warning signal.

Citation Download Citation

Jinchong Zhang, Zhibo Yang, Shuda Wang, Yao Wang, Juan Shi, and Jianping Guo "Research on the warning effect of human-machine takeover signal of intelligent vehicle based on driving simulator", Proc. SPIE 12790, Eighth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023), 127902M (7 September 2023); https://doi.org/10.1117/12.2689717

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