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Stochastic modeling for vehicle platoons (II): Statistical characteristics

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  • Li, Baibing

Abstract

This two-part paper presents a new approach to stochastic dynamic modeling for vehicle platoons. Part I develops a vehicle platoon model to capture the dynamics of vehicles’ grouping behavior and proposes an online platoon recognition algorithm. On the basis of the developed platoon model, Part II investigates various important characteristics of vehicle platoons and derives their statistical distribution models, including platoon size, within-platoon headway, between-platoon headway and platoon speed. It is shown that the derived statistical distributions include some important existing models in the literature as their special cases. These statistical distribution models are crucial for us to understand the traffic platooning phenomenon. In practice, they can be used as the inputs for the design of traffic management and control algorithms for traffic with a platoon structure. Real traffic data is used to illustrate the obtained theoretical results.

Suggested Citation

  • Li, Baibing, 2017. "Stochastic modeling for vehicle platoons (II): Statistical characteristics," Transportation Research Part B: Methodological, Elsevier, vol. 95(C), pages 378-393.
    • Handle: RePEc:eee:transb:v:95:y:2017:i:c:p:378-393
    DOI: 10.1016/j.trb.2016.07.017
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    References listed on IDEAS

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    1. D. J. Buckley, 1968. "A Semi-Poisson Model of Traffic Flow," Transportation Science, INFORMS, vol. 2(2), pages 107-133, May.
    2. Jiang, Yi & Li, Shuo & Shamo, Daniel E., 2006. "A platoon-based traffic signal timing algorithm for major-minor intersection types," Transportation Research Part B: Methodological, Elsevier, vol. 40(7), pages 543-562, August.
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    Cited by:

    1. Boysen, Nils & Briskorn, Dirk & Schwerdfeger, Stefan, 2018. "The identical-path truck platooning problem," Transportation Research Part B: Methodological, Elsevier, vol. 109(C), pages 26-39.
    2. Yang, Qiaoli & Shi, Zhongke & Yu, Shaowei & Zhou, Jie, 2018. "Analytical evaluation of the use of left-turn phasing for single left-turn lane only," Transportation Research Part B: Methodological, Elsevier, vol. 111(C), pages 266-303.
    3. Li, Baibing, 2019. "Measuring travel time reliability and risk: A nonparametric approach," Transportation Research Part B: Methodological, Elsevier, vol. 130(C), pages 152-171.
    4. Chen, Shukai & Wang, Hua & Meng, Qiang, 2021. "Autonomous truck scheduling for container transshipment between two seaport terminals considering platooning and speed optimization," Transportation Research Part B: Methodological, Elsevier, vol. 154(C), pages 289-315.

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