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

Li, Baibing

doi:10.1016/j.trb.2016.07.019

Cited by 26 publications

(24 citation statements)

References 28 publications

(35 reference statements)

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“…In this section, we briefly summarize the stochastic platoon model developed in Part I of this paper; see Li (2016) for further details.…”

Section: Summary Of the Stochastic Dynamic Model For Vehicle Platoonsmentioning

confidence: 99%

“…In Li (2016), a Markov regime-switching stochastic process is used to model the dynamic behavior of platoon-to-platoon transitions, and a state-space model is employed to describe individual vehicles' dynamic movements within each vehicle platoon.…”

Section: Summary Of the Stochastic Dynamic Model For Vehicle Platoonsmentioning

confidence: 99%

“…In Part I of this two-part paper in Li (2016), we develop a stochastic model to describe the dynamic behavior of vehicle platooning. We characterize vehicle platoons by both vehicle speeds and vehicle time headways so that the dynamic nature of the platoon-to-platoon transition process and within-platoon movements can be captured.…”

Section: Introductionmentioning

confidence: 99%

“…In addition, Sun and Benekohal (2005) also suggested the shifted exponential distribution for platoon sizes. Li (2016) in part I of this paper has developed a stochastic model to describe the dynamic behavior of vehicle platooning. Here in part II we will investigate theoretical properties of the model for some important platoon characteristics (platoon size and speed, and within and between platoon headways) and derive their statistical distributions.…”

Section: Introductionmentioning

confidence: 99%

“…This paper is structured as follows. In the next section we briefly summarize the dynamic platoon model proposed in Li (2016). Then we investigate various statistical properties of vehicle platoons' characteristics and use a practical example to illustrate the resulting statistical distributions in Section 3.…”

Section: Introductionmentioning

confidence: 99%

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Stochastic modeling for vehicle platoons (II): Statistical characteristics

2017

Transportation Research Part B: Methodological

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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.

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“…In this section, we briefly summarize the stochastic platoon model developed in Part I of this paper; see Li (2016) for further details.…”

Section: Summary Of the Stochastic Dynamic Model For Vehicle Platoonsmentioning

confidence: 99%

Section: Summary Of the Stochastic Dynamic Model For Vehicle Platoonsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%