Traffic flow simulation is indispensable for the construction of digital urban traffic. Similar-to-real simulation can provide an effective verification platform for intelligent traffic managements. Traffic flow simulation includes complex vehicle behavior modeling, trajectory estimation and planning. This paper establishes a general driving behavior model that is applied in car-following, lane-changing and merging scenarios. The general driving behavior model consists of three parts. First, the initial and terminal conditions of trajectories are determined according to different driving purposes, and they are used for trajectory planning based on a cubic polynomial fitting method. Second, the geometric coupling relationship among vehicles' expected trajectories are analyzed. Third, the active risk perception process based on the desired safety margin is used to determine the best choice of optional trajectories. The proposed general driving behavior model is validated by real traffic flow data, and then some statistical analysis results of traffic parameters show that the proposed model performs much better than the baseline model.


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    Titel :

    General Driving Behavior Model based on the Desired Safety Margin for Vehicle Flow Simulation


    Beteiligte:
    Cai, Pinlong (Autor:in) / Zhang, Junjie (Autor:in) / Zhao, Xuan (Autor:in) / Li, Yikang (Autor:in)


    Erscheinungsdatum :

    08.10.2022


    Format / Umfang :

    1709027 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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