2134/22359
Baibing Li
Baibing
Li
Stochastic modeling for vehicle platoons: 1, Dynamic grouping behavior and online platoon recognition
Loughborough University
2016
Dynamic grouping behavior
Markov regime switching process
State space model
Vehicle platoon
Vehicle speed
Vehicle time headway
Business and Management not elsewhere classified
2016-09-06 13:43:40
Journal contribution
https://repository.lboro.ac.uk/articles/journal_contribution/Stochastic_modeling_for_vehicle_platoons_1_Dynamic_grouping_behavior_and_online_platoon_recognition/9503804
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.