To study the effect of autonomous vehicles on the characteristics of mixed traffic flow, and make up for the lack of actual scenarios on the road, the simulation approach is proposed. Firstly, we chose the Intelligent Driver Model and Longitudinal Control Model as the autonomous and manual vehicle car-following models, and set the detailed model parameters. In addition, we take highway as the research object, and used the simulation of urban mobility (SUMO) software to model three different types of scenarios. Finally, each scenario is simulated after setting different parameters, the autonomous vehicles proportion increases gradually from 10% to 90% at the rate of 10%, and collected the corresponding data to compute the travel time. Conclusions can be drawn through analysis, the travel time decreased as the proportion of autonomous vehicles increased under the same traffic volume, this result further proves that autonomous vehicles can improve road efficiency.


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    Title :

    Mixed traffic flow characteristics analysis based on simulation approach


    Contributors:
    Ghanizadeh, Ali Reza (editor) / Jia, Hongfei (editor) / Wang, Lin (author) / Guo, Yuqi (author) / Li, Hengyu (author) / Liu, Yanyue (author)

    Conference:

    Seventh International Conference on Traffic Engineering and Transportation System (ICTETS 2023) ; 2023 ; Dalian, China


    Published in:

    Proc. SPIE ; 13064


    Publication date :

    2024-02-20





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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