A Brief Survey on Advances of Control and Intelligent Systems Methods for Traffic-responsive Control of Urban Networks

Subject review Traffic congestions in urban networks could contribute to adverse impact on the economy, environment and the quality of life. As a result, much research has been conducted to provide counter measures through traffic-responsive control strategies. These strategies aim to provide automated regulations of traffics through various control and intelligent systems methodologies. This paper provides an overview of control methods such as adaptive control, model-based and store-and-forward approaches for coordinated intersection control, freeway control as well as route-guidance and driver information systems. In addition, intelligent systems methods which include computational intelligence, agent-based and Petri nets are also reviewed with inclusion of some brief examples. The feasibility of these control and intelligent systems approaches is discussed with suggestions for future works.