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Traffic control and intelligent vehicle highway systems: a survey

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Author: Baskar, L.D. · Schutter, B. de · Hellendoorn, J. · Papp, Z.
Publisher: Institution of Engineering and Technology (IET)
Source:IET Intelligent Transport Systems, 1, 5, 38-52
Identifier: 431407
doi: doi:10.1049/iet-its.2009.0001
Keywords: Traffic · Physics & Electronics · DSS - Distributed Sensor Systems · TS - Technical Sciences


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 study, the authors present a survey on traffic management and control frameworks for IVHS. First, they give a short overview of the main currently used traffic control methods for freeways. Next, they 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, the authors sketch how existing traffic control methodologies could fit in an IVHS-based traffic control set-up. © 2011 The Institution of Engineering and Technology.