Abstract There is a tendency that drivers do not usually use optimal strategy in imminent intersection conflicts. Drivers usually swerve to the same direction as the obstacle, which sometimes results in accidents. In this paper, driving simulation experiments were conducted focusing on drivers’ reaction—especially, the swerving behavior—in critical intersection situations. The influences of incursion side and obstacle velocity were examined during the experiments. The results proved the existence of drivers’ same-direction-pattern (SDP) swerving maneuver, as the proportion of same-direction-swerving (SDS) was tremendously higher than what it should be in both left- and right incursion situations. The work serves as a foundation for further research on accident causation and Advanced Driver Assistant Systems (ADAS) development.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Drivers’ Collision Avoidance Pattern Before Imminent Intersection Accidents


    Contributors:
    Hu, Mengxia (author) / Zhang, Wenhui (author) / Li, Penghui (author) / Zheng, Zhixiao (author) / Li, Yibing (author)


    Publication date :

    2018-09-16


    Size :

    9 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




    Drivers' Collision Avoidance Pattern Before Imminent Intersection Accidents

    Hu, Mengxia / Zhang, Wenhui / Li, Penghui et al. | British Library Conference Proceedings | 2019



    SYSTEMS AND METHODS FOR IMMINENT COLLISION AVOIDANCE

    COSTA ALBERT / OLLIS MARK / BROWNING BRETT et al. | European Patent Office | 2023

    Free access

    SYSTEMS AND METHODS FOR IMMINENT COLLISION AVOIDANCE

    COSTA ALBERT / OLLIS MARK / BROWNING BRETT et al. | European Patent Office | 2022

    Free access

    Systems and methods for imminent collision avoidance

    COSTA ALBERT / OLLIS MARK / BROWNING BRETT et al. | European Patent Office | 2023

    Free access