Most previous studies on on-ramp merging methods for connected and automated vehicles (CAVs) focused on single-vehicle merging algorithms with instantaneous traffic flow rather than continuous traffic stream. In this study, a cooperative control algorithm for on-ramp merging under continuous traffic flow is proposed to deal with real-time on-ramp merging problems. This algorithm includes: (1) determining the number of Roadside Units (RSUs) involved in the merging process, (2) selecting a cooperative vehicle and calculating the safety distance, and (3) calculating the merging speed. Also, a cooperative control strategy is provided to complete the merging process when the cooperative vehicle and the merging speed are determined. Finally, this paper employed SUMO and the traffic control interface (Traci) to interact with Python for simulational study. The simulational results verified the effectiveness of the proposed algorithm and strategy, especially in solving the vehicle phenomenon of the stop-and-go wave under on-ramp crowded traffic flow.


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    Title :

    A Cooperative Control Algorithm for Real-time On-ramp Merging of Connected and Automated Vehicles


    Contributors:
    Shi, Yanjun (author) / Lv, Lingling (author) / Qi, Yuhan (author) / Xie, Rong (author)


    Publication date :

    2022-05-04


    Size :

    1923766 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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