不同险态情景下共驾型智能车辆接管行为特征分析

doi:10.13229/j.cnki.jdxbgxb.20220580

Abstract

Abstract:

In order to improve the safety of drivers taking over intelligent vehicles under different risky traffic scenarios， the characteristics and differences of drivers' taking over behaviors under three typical risky environments， namely highway， mountain road and city road， were studied in a simulated driving platform. The test collected and analyzed the driving behavior data of 16 drivers in three types of typical risky environments. The results showed that： ① The emergency actions taken by the drivers when taking over the vehicle included braking， steering and simultaneous steering and braking， with the percentages of each action being 71.4%， 16.7% and 11.9% respectively. ② There was no significant difference （P>0.05） in the reaction time of driver taking over in different dangerous traffic scenarios； There was a significant difference in the maximum longitudinal deceleration between highway and city road （P=0.002<0.05）， and a significant difference in the maximum longitudinal deceleration between mountain road and city road （P=0.048<0.05）. There was a significant difference in the maximum steering wheel Angle between city road and mountain road （P=0.015<0.05）， and there was a significant difference in the maximum steering wheel Angle between mountain road and highway （P=0.000<0.05）. It shows that different takeover measures should be used to improve the safety and effectiveness of takeover in different risky traffic scenarios. The results of the proposed method can provide reference for the development of intelligent vehicle takeover systems in different risky environments.

Key words: engineering of communication and transpotation system, intelligent vehicle, takeover behavior, dangerous scenario, alert mode

CLC Number:

U491.25

Li-xin YAN,Jin-pei FENG,Jun-hua GUO,Yi-ke GONG. Analysis of characteristics of the takeover behavior of co⁃driving intelligent vehicles under different dangerous scenarios[J].Journal of Jilin University(Engineering and Technology Edition), 2024, 54(3): 683-691.

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险态场景	平均值/s	最大值/s	最小值/s	标准差/s
城市	1.21	1.48	0.96	0.18
山区	1.16	1.37	0.95	0.2
高速	1.13	1.61	0.83	0.5

场景	t	P
城市-高速	0.563	0.581
城市-山区	0.695	0.493
山区-高速	0.208	0.837

场景	t	P
城市-高速	3.874	0.002^**
城市-山区	2.185	0.048^*
山区-高速	0.525	0.608

场景	t	P
城市-高速	1.809	0.094
城市-山区	2.799	0.015^*
山区-高速	4.614	0.000^**

Analysis of characteristics of the takeover behavior of co⁃driving intelligent vehicles under different dangerous scenarios

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