The traffic congestion in ramp areas is becoming increasingly prominent. In the upstream segments of ramp areas, effective management and control of lane-changing behaviors can improve the road capacity and make full use of the existing road resource. With the continuous development and application of connected vehicle technologies, lane-changing behaviors can be performed by vehicle groups. Under a connected vehicle environment, the lane-changing behaviors by vehicle groups are controlled in the upstream segment in a ramp area, and the lane-changing behaviors can be completed prior to entering the ramp area. Finally, lane-changing strategies are optimized and identified. VISSIM simulates these proposed strategies. This paper considers the delay as the output index for analyzing and comparing various strategies. The results demonstrate that the delays of different lane-changing strategies are also different. If the delays of ramp areas are to be substantially reduced, it is necessary to continuously optimize the lane-changing strategies by vehicle groups in the upstream segments. This optimization of lane-changing strategies will effectively regulate drivers’ lane-changing behaviors, improve road safety, and increase traffic capacity.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    VISSIM-Based Simulation and Analysis of Upstream Segments in Ramp Areas for Optimizing Vehicle Group Lane-Changing Behaviors


    Beteiligte:
    Haijian Li (Autor:in) / Zhufei Huang (Autor:in) / Xiaofang Zou (Autor:in) / Shuo Zheng (Autor:in) / Yanfang Yang (Autor:in)


    Erscheinungsdatum :

    2020




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Unbekannt






    VISSIM simulation-based method for determining length of accelerating lane in left-in ramp confluence area

    JI YANJIE / XU MENGMENG / LIU PAN et al. | Europäisches Patentamt | 2020

    Freier Zugriff

    Traffic Simulation Study with Vissim on Setting of Automated Vehicle Dedicated Lane

    Yang, Fengman / Song, Xianghui / Sun, Ling | IEEE | 2022


    Collaborative Strategies and Simulation of Vehicle Group Behaviors for Off-Ramp Areas

    Tong Mo / Keyi Li / Junjie Zhang et al. | DOAJ | 2020

    Freier Zugriff