A Review of Intelligent Connected Vehicle Cooperative Driving Development

• Published in: Mathematics (Basel) Vol. 10; no. 19; p. 3635
• Main Authors: Wang, Biyao, Han, Yi, Wang, Siyu, Tian, Di, Cai, Mengjiao, Liu, Ming, Wang, Lujia
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.10.2022
• Subjects: Algorithms; Automobile driving; Classification; Collaboration; communication technology; Connectivity; Control algorithms; Control systems; Control theory; Cooperation; Cooperation (Economics); Cooperative control; cooperative driving system; Data processing; Decision making; Driving; Infrastructure; intelligent connected vehicle; Intelligent vehicle-highway systems; Intelligent vehicles; Keywords; Mathematical research; Motor vehicle driving; Optimization; Research methodology; Road tests; Roads & highways; Sensors; Technology; Traffic congestion; V2X; Vehicles; Wireless communications; China
• ISSN: 2227-7390; 2227-7390
• DOI: 10.3390/math10193635

With the development and progress of information technology, especially V2X technology, the research focus of intelligent vehicles gradually shifted from single-vehicle control to multi-vehicle control, and the cooperative control system of intelligent connected vehicles became an important topic of development. In order to track the research progress of intelligent connected vehicle cooperative driving systems in recent years, this paper discusses the current research of intelligent connected vehicle cooperative driving systems with vehicles, infrastructure, and test sites, and analyzes the current development status, development trend, and development limitations of each object. Based on the analysis results of relevant references of the cooperative control algorithm, this paper expounds on vehicle collaborative queue control, vehicle collaborative decision making, and vehicle collaborative positioning. In the case of taking the infrastructure as the object, this paper expounds the communication security, communication delay, and communication optimization algorithm of the vehicle terminal and the road terminal of intelligent connected vehicles. In the case of taking the test site as the object, this paper expounds the development process and research status of the real vehicle road test platform, virtual test platform, test method, and evaluation mechanism, and analyzes the problems existing in the intelligent connected vehicle test environment. Finally, the future development trend and limitations of intelligent networked vehicle collaborative control system are discussed. This paper summarizes the intelligent connected car collaborative control system, and puts forward the next problems to be solved and the direction of further exploration. The research results can provide a reference for the cooperative driving of intelligent vehicles.