L.D. Baskar, B. De Schutter, J. Hellendoorn, and Z. Papp, "Traffic control and intelligent vehicle highway systems: A survey," IET Intelligent Transport Systems, vol. 5, no. 1, pp. 38-52, Mar. 2011.
Traffic congestion in highway networks is one of the main issues to be addressed by today's traffic management schemes. 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 (IVHS) that distribute intelligence between roadside infrastructure and vehicles and that - in particular on the longer term - are one of the most promising solutions to the traffic congestion problem. In this paper, we present a survey on traffic management and control frameworks for IVHS. First, we give a short overview of the main currently used traffic control methods for freeways. Next, we discuss IVHS-based traffic control measures. Then, various traffic management architectures for IVHS such as PATH, Dolphin, Auto21 CDS, etc. are discussed and a comparison of the various frameworks is presented. Finally, we sketch how existing traffic control methodologies could fit in an IVHS-based traffic control set-up.