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Modeling and impact analysis of connected vehicle merging accounting for mainline random length tight-platoon

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  • Xin, Qi
  • Fu, Rui
  • Ukkusuri, Satish V.
  • Yu, Shaowei
  • Jiang, Rui

Abstract

To reveal impacts of tight-platoon on connected vehicle (CV) merging, a merging advisory model is proposed to account for mainline random length tight-platoon. The tight-platoon is modeled by a consensus based algorithm with constant spacing under looking forward communication topologies, and string stabilities are analyzed to ensure robustness against gap disturbances. To ensure traffic safety, a floating merging point speed advisory model (FMP-SAM) based on finite state machine and virtual vehicle mapping is proposed to address merging conflicts. Besides, a rolling horizon control is employed in FMP-SAM to smooth speed trajectory of merging leader during gap adaption. Simulations results indicate that encouraging CV to drive in tight-platoon can improve safety, enhance mobility, conserve fuel consumption, reduce congestion and improve road capacity at higher traffic demand. Besides, FMP-SAM can improve FE performance greatly without sacrificing other performance metrics when compared with baseline merging advisory model.

Suggested Citation

  • Xin, Qi & Fu, Rui & Ukkusuri, Satish V. & Yu, Shaowei & Jiang, Rui, 2021. "Modeling and impact analysis of connected vehicle merging accounting for mainline random length tight-platoon," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 563(C).
    • Handle: RePEc:eee:phsmap:v:563:y:2021:i:c:s0378437120307706
    DOI: 10.1016/j.physa.2020.125452
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    References listed on IDEAS

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    Cited by:

    1. Zhu, Liling & Tang, Yandong & Yang, Da, 2021. "Cellular automata-based modeling and simulation of the mixed traffic flow of vehicle platoon and normal vehicles," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 584(C).
    2. Zhang, Yan-Tao & Hu, Mao-Bin & Chen, Yu-Zhang & Shi, Cong-Ling, 2023. "Cooperative platoon forming strategy for connected autonomous vehicles in mixed traffic flow," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 623(C).
    3. Chen, Jianzhong & Li, Jing & Xu, Zhaoxin & Wu, Xiaobao, 2022. "Cooperative optimal control for connected and automated vehicles platoon," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 607(C).

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