Reference
B. De Schutter,
S. P. Hoogendoorn, H.
Schuurman, and S. Stramigioli, "A multi-agent case-based traffic control
scenario evaluation system,"
Proceedings of the IEEE 6th
International Conference on Intelligent Transportation Systems
(ITSC'03), Shanghai, China, pp. 678-683, Oct. 2003.
Abstract
Traffic operators in traffic control centers have various measures at their
disposition to control the traffic flows on motorways and on urban roads such
as ramp metering, variable speed limits, dynamic route guidance, opening of
shoulder lanes, etc. When having to determine which of these control measures
have to be applied and where they have to be applied for a given traffic
situation, the traffic operator should be able to predict the effect of a
control scenario in order to be able to select the best scenario. As on-line,
real-time simulation of a large number of possible scenarios is usually not
tractable for even relatively small motorway networks, a fast method to predict
the effects of control measures on-line is a key requirement for effectively
applying traffic control. In this paper we develop a multi-agent case-based
approach to assist traffic operators in evaluating or predicting the effects of
control measures. The proposed approach is much faster than straightforward
traffic simulation so that it can be used for on-line and real-time evaluation
of a large number of different control scenarios. In addition, it is scalable
so that it can also be used for large networks.
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BibTeX
@inproceedings{DeSHoo:02-018,
author = {De Schutter, Bart and Hoogendoorn, Serge P. and Schuurman, Henk
and Stramigioli, Stefano},
title = {A Multi-Agent Case-Based Traffic Control Scenario Evaluation
System},
booktitle = {Proceedings of the IEEE 6th International Conference on
Intelligent Transportation Systems (ITSC'03)},
address = {Shanghai, China},
pages = {678--683},
month = oct,
year = {2003}
}