Title :
A Survey of Traffic Control With Vehicular Communications
Author :
Li Li ; Ding Wen ; Danya Yao
Author_Institution :
Dept. of Autom., Tsinghua Univ., Beijing, China
Abstract :
During the last 60 years, incessant efforts have been made to improve the efficiency of traffic control systems to meet ever-increasing traffic demands. Some recent works attempt to enhance traffic efficiency via vehicle-to-vehicle communications. In this paper, we aim to give a survey of some research frontiers in this trend, identifying early-stage key technologies and discussing potential benefits that will be gained. Our survey focuses on the control side and aims to highlight that the design philosophy for traffic control systems is undergoing a transition from feedback character to feedforward character. Moreover, we discuss some contrasting preferences in the design of traffic control systems and their relations to vehicular communications. The first pair of contrasting preferences are model-based predictive control versus simulation-based predictive control. The second pair are global planning-based control versus local self-organization-based control. The third pair are control using rich information that may be highly redundant versus control using concise information that is necessary. Both the potentials and drawbacks of these control strategies are explained. We hope these comparisons can shed some interesting light on future traffic control studies.
Keywords :
mobile radio; predictive control; road traffic control; feedback character; feedforward character; global planning-based control; local self-organization-based control; model-based predictive control; simulation-based predictive control; traffic control; traffic demands; vehicle-to-vehicle communications; vehicular communications; Control systems; Optimization; Predictive models; Schedules; Timing; Vehicle dynamics; Vehicles; Traffic control; vehicular communication;
Journal_Title :
Intelligent Transportation Systems, IEEE Transactions on
DOI :
10.1109/TITS.2013.2277737