Theory and Experiment of Cooperative Control at Multi-Intersections in Intelligent Connected Vehicle Environment: Review and Perspectives

Abstract

A heterogeneous traffic flow consists of regular vehicles, and intelligent connected vehicles having interactive functions is updating the composition of the current urban-road network traffic flow. It has been a growing trend and will continue to be so. Because of the urgent demand, the research focused on three main parts of cooperative control methods under intelligent connected vehicles environment, typical traffic control application scenarios and experimental validation in intelligent connected vehicles conditions, and intersection-oriented hybrid traffic control mechanism for urban road. For heterogeneous interrupted traffic flow of intelligent connected vehicles, to analyze the characteristics and information extraction method of heterogeneous traffic flow of intelligent connected vehicles under different conditions, the research examined driving modes of regular vehicles and intelligent connected vehicles, including car following and lane changing. This study summarized control modes of traffic-signal control, active control of intelligent connected vehicles, and indirect control of regular vehicles through intelligent vehicles to study the active control mechanism and multi-intersection coordinated control strategy for intelligent connected vehicle heterogeneous traffic flow. With the combination of coordinated control theory, this work overviewed integrated experiment of information interaction and coordinated control under intelligent-connected-vehicle heterogeneous traffic-flow environments.

WITHDRAWN: Regional Traffic Signal Control Optimization Model based on Quantum Genetic Algorithm

“…Research indicates that traffic signal control is currently one of the most effective methods, which can significantly reduce traffic congestion and improve traffic efficiency [1]. The study of signal control at complex traffic intersections remains necessary given the rapid development of sensors and intelligent connected vehicles [2].…”

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

“…Overall, in urban road conditions, intersections are often more prone to traffic jams and collisions, multi-vehicle collaboration and vehicle-road collaboration can greatly alleviate traffic congestion in intersection scenarios on urban roads. A systematic review of theories and experiments on multi-vehicle collaboration at intersections is presented by Zhang et al [117]. The authors propose that it is important to strengthen the understanding and knowledge of the coming new hybrid traffic flow, to improve the control capability of the new hybrid traffic flow, and to promote the development of cooperative control technic of intelligent and connected vehicles in the new hybrid traffic flow oriented to traffic efficiency.…”

Research on Cooperative Control of Multiple Intelligent Networked Vehicles Based on the Improved Leader–Follower Method

“…The research on cooperative control of multi-intelligent connected vehicles originates from the study of cooperative control problems in multi-agent systems (multi-agent system: MAS) [1]. Its main objective is to achieve coordinated control between multiple intelligent networked vehicles by adapting and adjusting their own driving states in specific road situations in order to maintain relative stability in terms of position and velocity with other intelligent networked vehicles [2,3].…”