During traffic accidents, the driver automatic alarm decision-making optimization model needs to take into account factors of driver stimulation and task clutter as well as processes of coordinate reaction behavior. In the past, a simulation step was chosen with 1 second. This ignored the influence of lagging driver automatic alarm decision-making response time, which impacts simulation accuracy of driver automatic alarm behavior. Meanwhile, on account of imprecision of clock scanning, the ability of a driver's behavior simulation model is weakened in a dynamic traffic accident scene. Also, it brought on the results which only considered macroscopic affect information in traffic accidents and influence of relatively static road signs in the past. If we want to raise the simulation precision of driver automatic alarm behavior, we must reduce clock scanning time.


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    Titel :

    Research of Driver Automatic Alarm Decision-Making Optimization Models with Precision Clock Scanning


    Beteiligte:
    Jia, Feng-yuan (Autor:in) / Guan, Zhi-chao (Autor:in) / Huang, Lian (Autor:in) / Zou, Hai-xiang (Autor:in) / Li, Chun-yan (Autor:in)

    Kongress:

    14th COTA International Conference of Transportation Professionals ; 2014 ; Changsha, China


    Erschienen in:

    CICTP 2014 ; 2548-2557


    Erscheinungsdatum :

    2014-06-24




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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