Effect of Drivers' Acceptance Level of Car-following Risk on the Takeover Performance

被引：0

作者：

Lu G. ^{[1
,2
]}

Chen F. ^{[1
]}

Li P. ^{[3
,4
]}

Zhai J. ^{[1
]}

Tan H. ^{[1
]}

Zhao P. ^{[1
]}

机构：

[1] School of Transportation Science and Engineering, Beihang University, Beijing Key Laboratory for Cooperative Vehicle Infrastructure Systems and Safety Control, Beijing

[2] Beijing Advanced Innovation Center for Big Data and Brain Computing, Beihang University, Beijing

[3] School of Vehicle and Mobility, Tsinghua University, State Key Laboratory of Automotive Safety & Energy, Beijing

[4] School of Public Security and Traffic Management, People's Public Security University of China, Beijing

来源：

Qiche Gongcheng/Automotive Engineering | 2021年 / 43卷 / 06期

关键词：

Acceptance level of car-following risk; Takeover in automated driving; Takeover performance; Takeover time budget; Visual non-driving related task;

D O I：

10.19562/j.chinasae.qcgc.2021.06.003

中图分类号：

学科分类号：

摘要：

Takeover in automated driving is a kind of manual driving operation with high safety requirements, which may be affected by the driver's manual driving safety habits. Based on a driving simulator,the manual car-following and an automated driving takeover experiments are designed in this paper to study the influence of the driver' acceptance level of car-following risk on the takeover performance. Meanwhile, the impact of takeover time budget and visual non-driving related task is also investigated. The results indicate that drivers with a low acceptable level of car-following risk in daily driving have shorter takeover reaction time, and show lower longitudinal collision risk after taking over from the condition of monitoring automated driving. In addition, when drivers are in the state of visual distraction, the 5 s takeover time budget leads to poor lateral and longitudinal stability and high longitudinal collision risk. The results of this study can provide a theoretical basis for the design of personalized automated driving system. © 2021, Society of Automotive Engineers of China. All right reserved.

引用

页码：808 / 814

页数：6

共 23 条

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