To better describe mixed traffic flow, we built a new CA (cellular automation) model based on the OV model, which considered space headway and velocity of a followed car. Time-varying anticipated safe distance was used in the improved OV model instead of fixed safe distance in the NaSch traffic model. Vehicle performance and mixing proportions were taken into account to investigate the parameters of traffic characteristics such as traffic volume, average velocity, and so on. The simulation results show that the improved CA model can give a better description of the phenomena observed in real traffic. Traffic volume and average velocity of the mixed traffic flow on a single lane all depend on cars with low maximum velocity. Randomization deceleration probability is an important parameter influencing traffic flow state.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Cellular Automaton Mixed Traffic Model Based on Improved OV Model


    Contributors:
    Xu, Lun-hui (author) / Zhang, Hua-ye (author) / Hu, San-gen (author) / Wu, Shuai (author)

    Conference:

    15th COTA International Conference of Transportation Professionals ; 2015 ; Beijing, China


    Published in:

    CICTP 2015 ; 2537-2545


    Publication date :

    2015-07-13




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Two Dimensional Cellular Automaton Model of the Mixed Traffic Flow for Urban Traffic

    Yang, Li ;Hu, Jun Hui ;Kong, Ling Jiang | Trans Tech Publications | 2012



    Cellular Automaton-Based Traffic Flow Simulation Model for Traffic Incidents

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


    Traffic Flow Turbulence Characteristics Research Based on the Cellular Automaton Model

    Huang, Zhi Peng ;Cheng, Lin ;Zhang, Wei Hua | Trans Tech Publications | 2014


    Traffic Flow Simulation Based on Cellular Automaton Model Considering Driving Mode

    Xiang, Zhengtao / Bao, Juan / Li, Yujin et al. | IEEE | 2013