A Review of Multi-vehicle Cooperative Control System in Intelligent Transportation

Review A Review of Multi-vehicle Cooperative Control System in Intelligent Transportation Songtao Xie 1, Zhenhong Li 1, Farshad Arvin 2, and Zhengtao Ding 1,* 1 Department of Electrical and Electronic Engineering, The University of Manchester, Manchester M13 9PL, UK 2 Swarm & Computational Intelligence Laboratory (SwaCIL), Department of Computer Science, Durham University, Durham DH1 3LE, UK * Correspondence: zhengtao.ding@manchester.ac.uk Received: 25 April 2023 Accepted: 19 September 2023 Published: 25 September 2023 Abstract: Multi-vehicle cooperative control (MVCC) system has the potential to improve traffic flow, reduce congestion, and increase safety. This paper reviews the progress achieved by researchers worldwide regarding different aspects of MVCC systems. Research works of MVCC system architectures and strategies are reviewed, which explain how this system works. Several control methodologies utilized in the MVCC system and their related issues are discussed and compared, and research achievements about string stability and system degradation caused by unreliable communication are also reviewed. Applications of the MVCC system are demonstrated with detailed literature, which draws an overall landscape of the MVCC system and points out current opportunities and challenges. Finally, future research directions for the MVCC system are proposed based on the latest social and technological developments.