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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/22359

Title: Stochastic modeling for vehicle platoons: 1, Dynamic grouping behavior and online platoon recognition
Authors: Li, Baibing
Keywords: Dynamic grouping behavior
Markov regime switching process
State space model
Vehicle platoon
Vehicle speed
Vehicle time headway
Issue Date: 2017
Publisher: © Elsevier
Citation: LI, B., 2017. Stochastic modeling for vehicle platoons: 1, Dynamic grouping behavior and online platoon recognition. Transportation Research: Part B, Methodological, 95, pp.364-377.
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.
Description: This paper was accepted for publication in the journal Transportation Research: Part B, Methodological and the definitive published version is available at http://dx.doi.org/10.1016/j.trb.2016.07.019
Version: Accepted for publication
DOI: 10.1016/j.trb.2016.07.019
URI: https://dspace.lboro.ac.uk/2134/22359
Publisher Link: http://dx.doi.org/10.1016/j.trb.2016.07.019
ISSN: 1879-2367
Appears in Collections:Published Articles (Business)

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