Reference
L. D. Baskar, B. De Schutter, and H.
Hellendoorn, "Decentralized traffic control and management with intelligent
vehicles,"
Proceedings of the 9th TRAIL Congress 2006 - TRAIL
in Motion - CD-ROM, Rotterdam, The Netherlands, 16 pp., Nov. 2006.
Abstract
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 paper
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. We also describe the existing
control designs in connection with (IV-based) traffic management and especially
focus on model predictive control methods. Building upon our survey results, we
also propose a control design framework that uses the selected IV control
measures in a decentralized roadside/vehicle traffic management structure. We
conclude by pointing out several open issues and possible solution approaches.
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BibTeX
@inproceedings{BasDeS:06-036,
author = {Baskar, Lakshmi Devi and De Schutter, Bart and Hellendoorn,
Hans},
title = {Decentralized Traffic Control and Management with Intelligent
Vehicles},
booktitle = {Proceedings of the 9th TRAIL Congress 2006 -- TRAIL in Motion
-- CD-ROM},
address = {Rotterdam, The Netherlands},
month = nov,
year = {2006}
}