汽车-动力两轮车碰撞前驾驶员风险感知研究

doi:10.19562/j.chinasae.qcgc.2024.03.014

Abstract

Abstract:

In the human-machine co-driving stage， the drivers' hazard perception of driving environment at a high level is the core to ensure timely， effective， stable， safe takeover. In this study， the driving behaviors and electroencephalogram （EEG） responses of drivers in typical vehicle-to-powered two-wheeler crash scenarios are obtained by conducting the hazard perception simulation driving tests. From the perspective of driving behaviors， a quantitative model of drivers' hazard perception is built through quantile regression with the braking TTC （Time to Collision） and average acceleration as evaluation indexes. Through independent sample test， it is found that the driving experience and collision scenario types have a significant impact on drivers' hazard perception. From the perspective of EEG responses， it is found that the Alpha band is significantly correlated with hazard perception ability through double independent sample test and FDR correction. Furthermore， the drivers' hazard perception neural mechanism is proposed， including two stages of visual perception and cognitive processing. The research results contribute to improving the safety of human-machine co-driving vehicles.

Key words: vehicle-to-powered two-wheeler crashes, simulation driving tests, driving behaviors, EEG responses, hazard perception

Xinghua Wang,Lin Hu,Yong Peng,Xianhui Wu,Guoliang Xiang,Qian Xu. Research on Drivers' Hazard Perception Before Vehicle-to-Powered Two-Wheeler Crashes[J].Automotive Engineering, 2024, 46(3): 498-508.

Figures/Tables 20

References 33

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场景类型	场景设计	场景建模
LC场景
RC场景
On场景
Run场景

项目	未避撞成功	避撞成功	合计
数量	106	163	269
百分比	39.41%	60.59%	100%

特征参数	例数	平均值	标准差	曼-惠特尼U	显著性
感知水平	269	2.003 7	0.895 67	7 611.500	0.919
性别	269	3.695 2	0.461 19	7 611.500	0.919

特征参数	例数	平均值	标准差	曼-惠特尼U	显著性
感知水平	269	2.003 7	0.895 67	5 917.000	0.000
职业	269	1.480 0	0.500 00	5 917.000	0.000

特征参数	例数	平均值	标准差	曼-惠特尼U	显著性
感知水平	269	2.003 7	0.895 67	8 601.500	0.456
场景风险度	269	1.494 4	0.500 90	8 601.500	0.456

Research on Drivers' Hazard Perception Before Vehicle-to-Powered Two-Wheeler Crashes

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References 33

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