China Safety Science Journal ›› 2023, Vol. 33 ›› Issue (3): 204-211.doi: 10.16265/j.cnki.issn1003-3033.2023.03.0512

• Occupational health • Previous Articles     Next Articles

A review of driving fatigue research in human-machine co-driving environment

ZHANG Hui1(), NI Dingan1, ZENG Ke1,2, DING Naikan1, WU Chaozhong1,**()   

  1. 1 Intelligent Transportation Systems Research Center, Wuhan University of Technology, Wuhan Hubei 430063, China
    2 Wuhan Zhian Transportation Technology Co., Ltd., Wuhan Hubei 430014, China
  • Received:2022-10-19 Revised:2023-01-14 Online:2023-03-28 Published:2023-11-28

Abstract:

In order to reduce the influence of driving fatigue on driver's state in the process of automatic driving, the development status of driver fatigue was analyzed under the environment of human-machine co-driving, the existing studies were systematically sorted out and future development of driver fatigue were put forward, too. Firstly, through literature retrieval and correlation analysis, the research status of fatigue accumulation in the process of human-machine co-driving was clarified. Then, the research results were analyzed from three dimensions: the cause analysis of driving fatigue under manual driving and human-machine co-driving, the influence of driving duration and non-driving related tasks on fatigue, and the influence of driving fatigue on driving behavior under human-machine co-driving environment. Finally, the shortcomings and development direction of driver fatigue research in human-machine co-driving environment were proposed. The results show that the human-machine co-driving mode leads to an increase in passive fatigue of the driver and the takeover performance is impaired. The flexible setting of non-driving related tasks and automatic driving time can effectively alleviate passive fatigue. The evolution law and detection model of driving fatigue in the process of human-machine co-driving are still unclear. Exploring the driver fatigue control strategy based on the characteristics of human-machine co-driving scenarios is focus of future research.

Key words: human-machine co-driving environment, driving fatigue, automatic driving, non-driving related tasks, duration of driving