Traffic control and intelligent vehicle highway systems: A survey


Reference:
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.

Abstract:
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.


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Bibtex entry:

@article{BasDeS:09-043,
        author={L.D. Baskar and B. {D}e Schutter and J. Hellendoorn and Z. Papp},
        title={Traffic control and intelligent vehicle highway systems: A survey},
        journal={IET Intelligent Transport Systems},
        volume={5},
        number={1},
        pages={38--52},
        month=mar,
        year={2011},
        doi={10.1049/iet-its.2009.0001}
        }



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