The merging behavior of expressways is regarded as one of the main sources of traffic congestion and delays on expressways and surrounding road networks. As the road narrows, the number of lanes decreases, the traffic capacity decreases, and vehicle conflicts increase. Comprehension of the joint characteristics between driving behavior and traffic conflict can help traffic engineers better estimate the characteristics of traffic flow. Therefore, this paper uses the idea of zoning modeling to evaluate the difference of traffic conflict in the merging area, describes the relationship between oscillation waves and traffic conflict, and puts forward a theoretical model to distinguish the impact of vehicle behavior on traffic safety when traffic oscillation occurs through the microscopic analysis of the influence factors of oscillation wave on traffic conflict.


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    Titel :

    Investigating driving behavior and vehicle risk discrimination in expressway merging area


    Beteiligte:
    Kong, Xiangjie (Herausgeber:in) / Falcone, Francisco (Herausgeber:in) / Cheng, Bo (Autor:in) / Liu, Qianqian (Autor:in) / Wan, Qian (Autor:in) / Huang, YanYa (Autor:in)

    Kongress:

    3rd International Conference on Internet of Things and Smart City (IoTSC 2023) ; 2023 ; Chongqing, China


    Erschienen in:

    Proc. SPIE ; 12708


    Erscheinungsdatum :

    14.06.2023





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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