Drivers are adversely affected in decision-making and behavior under excessive stress, thus increasing road crash risks. In this study, the Driver Stress Inventory (DSI) was used to identify typical driving stress scenarios and explore the characteristics of drivers among different stress levels. A total of 1881 drivers took part in the survey. The Precedence Chart was used to rank the importance of driving stressors involved in the scale. K-means cluster was adopted to classify drivers’ stress into three levels, namely low, medium and high-stress. Finally, the Kruskal-Wallis test and Mantel-Haenszel test were employed to analyze the similarities and differences of demographic statistical characteristics under different stress levels. The results of the study indicate that various unexpected scenarios caused by the abnormal behavior of other road users are the most typical stressors. Drivers in the high-stress group tended to be younger and less experienced. Professional drivers reported higher stress than nonprofessional drivers. In addition, high-stress drivers were more prone to be involved in traffic crashes.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Recognition of typical driving stressors and driver stress level in a Chinese sample


    Contributors:
    Yang, Liu (author) / Song, Yunzhou (author) / Hu, Zhenxin (author) / Wang, Ziyu (author) / Li, Xiaomeng (author)

    Published in:

    Publication date :

    2023-08-03


    Size :

    21 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown




    L3-level automatic driving vehicle driver non-driving posture recognition method and system

    MA YANLI / XU XIAOPENG / GUO YINGYING et al. | European Patent Office | 2023

    Free access

    Impacts of ocean acidification under multiple stressors on typical organisms and ecological processes

    Gao, Kunshan / Gao, Guang / Wang, Youji et al. | Springer Verlag | 2020


    Typical natural driving scene recognition and extraction method for intelligent driving system testing

    CHEN HUA / XIONG YINGZHI / LIANG LIMING et al. | European Patent Office | 2020

    Free access


    METHOD FOR ANALYZING DRIVING CONCENTRATION LEVEL OF DRIVER

    JANG YOUNG MIN | European Patent Office | 2016

    Free access