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Research on multiple vehicles’ continuous self-delayed velocities on traffic flow with vehicle-to-vehicle communication

Author

Listed:
  • Zhang, Geng
  • Yin, Le
  • Pan, Dong-Bo
  • Zhang, Yu
  • Cui, Bo-Yuan
  • Jiang, Shan

Abstract

Under the vehicle-to-vehicle communication environment, different kinds and different ranges of traffic information could be obtained and used for the coordinated operation of road traffic system. To reveal the influence of multiple preceding vehicles’ continuous self-delayed velocities information on traffic flow, an extended car-following model by considering multiple preceding vehicles’ continuous self-delayed velocities is put forward. Further, the performance of the new model is studied by linear and nonlinear analyses, and also by simulation experiment. The results show that multiple preceding vehicles’ continuous self-delayed velocities information affects the stability of traffic flow importantly.

Suggested Citation

  • Zhang, Geng & Yin, Le & Pan, Dong-Bo & Zhang, Yu & Cui, Bo-Yuan & Jiang, Shan, 2020. "Research on multiple vehicles’ continuous self-delayed velocities on traffic flow with vehicle-to-vehicle communication," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 541(C).
    • Handle: RePEc:eee:phsmap:v:541:y:2020:i:c:s0378437119320631
    DOI: 10.1016/j.physa.2019.123704
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    References listed on IDEAS

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    Cited by:

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    2. Junyan Han & Jinglei Zhang & Xiaoyuan Wang & Yaqi Liu & Quanzheng Wang & Fusheng Zhong, 2020. "An Extended Car-Following Model Considering Generalized Preceding Vehicles in V2X Environment," Future Internet, MDPI, vol. 12(12), pages 1-15, November.
    3. Peng, Guanghan & Luo, Chunli & Zhao, Hongzhuan & Tan, Huili, 2023. "Jamming transition in two-lane lattice model integrating the deception attacks on influx during the lane-changing process under vehicle to everything environment," Chaos, Solitons & Fractals, Elsevier, vol. 176(C).
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