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Stochastic modeling for vehicle platoons (I): Dynamic grouping behavior and online platoon recognition

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  • Li, Baibing

Abstract

A vehicle platoon is a group of vehicles traveling together at approximately the same speed. Traffic platooning is an important phenomenon that can substantially increase the capacity of roads. This two-part paper presents a new approach to stochastic dynamic modeling for vehicle platoons. In part I, we develop a vehicle platoon model with two interconnected components: a Markov regime-switching stochastic process that is used to model the dynamic behavior of platoon-to-platoon transitions, and a state space model that is employed to describe individual vehicles’ dynamic movements within each vehicle platoon. On the basis of the developed stochastic dynamic model, we then develop an algorithm for online platoon recognition. The proposed stochastic dynamic model for vehicle platoons also provides a new approach to vehicle speed filtering for traffic with a platoon structure.

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  • Li, Baibing, 2017. "Stochastic modeling for vehicle platoons (I): Dynamic grouping behavior and online platoon recognition," Transportation Research Part B: Methodological, Elsevier, vol. 95(C), pages 364-377.
    • Handle: RePEc:eee:transb:v:95:y:2017:i:c:p:364-377
    DOI: 10.1016/j.trb.2016.07.019
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    References listed on IDEAS

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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. Abhishek, & Boon, Marko A.A. & Mandjes, Michel & Núñez-Queija, Rudesindo, 2019. "Congestion analysis of unsignalized intersections: The impact of impatience and Markov platooning," European Journal of Operational Research, Elsevier, vol. 273(3), pages 1026-1035.
    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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