Traffic incidents decrease the capacity of road segments and disturb normal traffic flow. Analyzing the evolution of traffic incident effects by building a simulation model for traffic incidents not only helps in better understanding traffic flow characteristics in abnormal conditions, but also provides a theoretical basis for traffic control strategies. Considering the characteristics of driver behavior, this study proposes an improved model of traditional symmetric two-lane cellular automaton (STCA) based on lane-changing rules. Velocity is used to build a traffic simulation cellular automaton model for traffic incident conditions. The improved model simulated traffic flow better than the traditional STCA model.


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    Titel :

    Cellular Automaton-Based Traffic Flow Simulation Model for Traffic Incidents


    Beteiligte:
    Zhao, Kang-jia (Autor:in) / Chen, Shu-yan (Autor:in) / Lao, Ye-chun (Autor:in)


    Erscheinungsdatum :

    16.02.2015


    Format / Umfang :

    62015-01-01 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Unbekannt



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