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Research Article | Open Access

Platoon-based collision-free control for connected and automated vehicles at non-signalized intersections

Jian Gong1Yuan Zhao2Jinde Cao3( )Wei Huang1
Intelligent Transportation System Research Center, Southeast University, Nanjing 210096, China
College of Information Engineering, Dalian University, Dalian 116622, China
School of Mathematics, Southeast University, Nanjing 210096, China
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Abstract

This paper proposes a distributed collision-free control scheme for connected and automated vehicles (CAVs) at a non-signalized intersection. We first divide an intersection area into three sections, i.e., the free zone, the platoon zone, and the control zone. In order to enable the following vehicles to track the trajectory of their leading vehicle in the platoon zone and the control zone, as well as to guarantee the desired distance between any two adjacent vehicles, the distributed platoon controllers are designed. In the control zone, each vehicular platoon is taken as a whole to be coordinated via an intersection coordination unit (ICU). To avoid collision between each pair of the conflicting platoons approaching from different directions, a platoon-based coordination strategy is designed by scheduling the arrival time of each leading vehicle of different platoons. Specially, considering traffic efficiency and fuel economy, the optimal control problem of the leading vehicle is formulated subject to the constraint of allowable minimum arrival time, which is derived from coordination with other approaching platoons. The Pontryagin Minimum Principle (PMP) and phase-plane method are applied to find the optimal control sequences. Numerical simulations show the effectiveness of this scheme.

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Electronic Research Archive
Pages 2149-2174

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Cite this article:
Gong J, Zhao Y, Cao J, et al. Platoon-based collision-free control for connected and automated vehicles at non-signalized intersections. Electronic Research Archive, 2023, 31(4): 2149-2174. https://doi.org/10.3934/era.2023111

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Received: 02 December 2022
Revised: 15 January 2023
Accepted: 14 February 2023
Published: 15 April 2023
©2023 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)