In order to solve the traffic congestion problem, the characters of traffic should be investigated. Cellular Automaton (CA) models based on brake light rule (BL) can reproduce the three-phase traffic flow. However, all BL models assume that all drivers have the same driving mode. In fact, vehicles can be divided into three types: aggressive, normal and timid. The influence of driving modes on flux is analyzed based on the Tian model, which is a typical BL model. Simulation results show that when adopting different driving modes, the modified Tian model can still reproduce the three-phase traffic flow. In addition, more aggressive vehicles can increase the flux, while more timid vehicles will decrease the flux.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Traffic Flow Simulation Based on Cellular Automaton Model Considering Driving Mode


    Beteiligte:
    Xiang, Zhengtao (Autor:in) / Bao, Juan (Autor:in) / Li, Yujin (Autor:in) / Xiong, Li (Autor:in)


    Erscheinungsdatum :

    2013-06-01


    Format / Umfang :

    2291976 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    A Divided Two-Lane Cellular Automaton Model of Traffic Flow Considering Driving Tendency

    Yang, Longhai / Zhang, Xiqiao / Ji, Wenchao | Online Contents | 2018


    A Divided Two-Lane Cellular Automaton Model of Traffic Flow Considering Driving Tendency

    Yang, Longhai / Zhang, Xiqiao / Ji, Wenchao | Springer Verlag | 2018


    Cellular Automaton-Based Traffic Flow Simulation Model for Traffic Incidents

    Zhao, Kang-jia / Chen, Shu-yan / Lao, Ye-chun | ASCE | 2015


    One-dimensional cellular automaton traffic flow model based on defensive driving strategy

    Fenghui, Wang / Lingyi, Li / Yongtao, Liu et al. | Taylor & Francis Verlag | 2022


    A Cellular Automaton Model for Highway: Considering Multi-Lane Traffic Rules

    Zhu, Hong Jia ;Wang, Dan ;Zhou, Ji Biao | Trans Tech Publications | 2014