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
@article{BasDeS:09-043,
author = {Baskar, Lakshmi Devi and De Schutter, Bart and Hellendoorn,
Johannes and Papp, Zoltan},
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}
}