L.D. Baskar, B. De Schutter, H. Hellendoorn, Z. Papp, and T.J.J. van den Boom, "Hierarchical traffic control and management with intelligent vehicles: A survey," Tech. rep. 06-040, Delft Center for Systems and Control, Delft University of Technology, Delft, The Netherlands, 73 pp., Feb. 2007.
Traffic congestion in highway network is one of the main issues to be addressed by today's traffic management schemes. Further, automation combined with the increasing market penetration of on-line communication, navigation, and advanced driver assistance systems will ultimately result in intelligent vehicle highway systems that offer solutions to the traffic congestion problem and also improve the capacity without building new highways. This report presents the results of a survey on Intelligent Vehicles (IV) and IV-based control measures which can provide an opportunity for integration within an intelligent roadside infrastructure, and can be used to improve the efficiency, performance, and throughput of traffic flow. This report consists of five chapters. The first chapter introduces intelligent vehicles. A description on automated highway systems and IV are presented. Some interesting IV-based control measures that can improve traffic flow are discussed. Chapter two gives a flavor of how traffic flow is described mathematically. Microscopic, mesoscopic and macroscopic traffic flow models are discussed. Chapter three treats the subject of traffic control. We describe the existing control designs in connection with (IV-based) traffic management and especially focus on model predictive control methods. Chapter four extends the topic on distributed control and also briefly discusses traffic control frameworks. In Chapter 5, we also propose a control design framework that uses the selected IV control measures in a hierarchical roadside/vehicle traffic management structure. We conclude by providing a roadmap of the research.