A Reviewon Driver's Perception of Risk Associated with Autonomous Driving Under Human-computer Shared Control

FENG Zhongxiang; LI Jingyu; ZHANG Weihuang; YOU Zhidong

doi:10.3963/j.jssn.1674-4861.2022.02.001

Volume 40 Issue 2

Apr. 2022

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FENG Zhongxiang, LI Jingyu, ZHANG Weihuang, YOU Zhidong. A Reviewon Driver's Perception of Risk Associated with Autonomous Driving Under Human-computer Shared Control[J]. Journal of Transport Information and Safety, 2022, 40(2): 1-10. doi: 10.3963/j.jssn.1674-4861.2022.02.001

Citation:

FENG Zhongxiang, LI Jingyu, ZHANG Weihuang, YOU Zhidong. A Reviewon Driver's Perception of Risk Associated with Autonomous Driving Under Human-computer Shared Control[J]. Journal of Transport Information and Safety, 2022, 40(2): 1-10. doi: 10.3963/j.jssn.1674-4861.2022.02.001

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A Reviewon Driver's Perception of Risk Associated with Autonomous Driving Under Human-computer Shared Control

doi: 10.3963/j.jssn.1674-4861.2022.02.001

1.
School of Transportation, Southeast University, Nanjing 210096, China
2.
College of Civil Engineering, Hefei University of Technology, Hefei 230009, China
3.
School of Automobile and Traffic Engineering, Hefei University of Technology, Hefei 230009, China
4.
Traffic Management Research Institute of the Ministry of Public Security, Wuxi 214000, Jiangsu, China

Received Date: 2021-10-20
Available Online: 2022-05-18

Abstract

Abstract

Timely perception to risk associated with autonomous driving under human-computer shared control is the premise of the correct stress response and operation of drivers, and it is the focus of road safety research. The characteristics of risk perception for drivers of human-computer shared control are analyzed. Influencing factors are analyzed from three aspects: driver's characteristics, automatic driving system, and driving scenario. Besides, evaluation methods are analyzed and summarized from the following three aspects: driving behavior, take-over performance, and subjective evaluation. Moreover, improvement methods for increasing the ability of risk perception through driver training and auxiliary equipment are summarized. Study results show that compared with manual driving vehicles, the capability of drivers' risk perception to human-computer interaction during the operation of autonomous vehicles is lower, which results from the interactions of multiple factors. The existing methods for evaluating the capability of driver's risk perception have their own advantages and disadvantages, and there is no universally applicable method that can be widely used. Dynamic monitoring and adjustment of driver's state is the safety prerequisite of autonomous driving under human-computer shared control. Based on the issues identified from the existing studies, it can be concluded that future studies should address the following: risk perception under the interaction of multiple factors, quantitative modeling of the capability of driver's risk perception, dynamic monitoring, and steady-state maintenance methods for driver's risk perception.
- Traffic safety,
- autonomous driving,
- human-computer shared control,
- risk perception,
- driving behavior

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References(50)

References

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A Reviewon Driver's Perception of Risk Associated with Autonomous Driving Under Human-computer Shared Control

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