In order to study the driver’s visual search characteristics, eye movement analysis is used to measure drivers’ hazard perception in different scenarios. The mechanical division method is used to divide the field of driver’s vision into five areas, considered potential danger miss rate as the indicator of the driver’s hazard perception evaluation to analysis drivers’ visual search characteristics, and the saccade or fixation in the driver’s hazard perception process. Results show that drivers mainly obtain traffic information through near area in front of road, distant area in front of road, and potentially dangerous source areas. Drivers with high hazard perception have a wider visual search range, which can identify potential dangers more quickly and accurately. Moreover, drivers with high hazard perception tend to pay more visual attention to near road and the danger area, the visual search scope is more comprehensive, and the visual search strategy is more effective.


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    Titel :

    Analysis of Visual Search Characteristics Based on Drivers’ Hazard Perception


    Beteiligte:
    Wu, Tao (Autor:in) / Yang, Jing-Shuai (Autor:in) / Sun, Jian (Autor:in) / Dai, Chang-Hong (Autor:in) / Li, Xiang-Hong (Autor:in)

    Kongress:

    20th COTA International Conference of Transportation Professionals ; 2020 ; Xi’an, China (Conference Cancelled)


    Erschienen in:

    CICTP 2020 ; 3742-3753


    Erscheinungsdatum :

    2020-08-12




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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