L. Bull
Distributed learning control of traffic signals
Bull, L.; Cao, Y. J.; Ireson, N.; Bull, Larry; Miles, R.
Authors
Y. J. Cao
N. Ireson
Lawrence Bull Larry.Bull@uwe.ac.uk
School Director (Research & Enterprise) and Professor
R. Miles
Contributors
S Cagnoni
Editor
R Poli
Editor
G.D. Smith
Editor
D Corne
Editor
M. Oates
Editor
E. Hart
Editor
P.L. Lanzi
Editor
E.J. Willem
Editor
Y. Li
Editor
B. Paechter
Editor
T.C. Fogarty
Editor
Abstract
© Springer-Verlag Berlin Heidelberg 2000. This paper presents a distributed learning control strategy for traffic signals. The strategy uses a fully distributed architecture in which there is effectively only one (low) level of control. Such strategy is aimed at incorporating computational intelligence techniques into the control system to increase the response time of the controller. The idea is implemented by employing learning classifier systems and TCP/IP based communication server, which supports the communication service in the control system. Simulation results in a simplified traffic network show that the control strategy can determine useful control rules within the dynamic traffic environment, and thus improve the traffic conditions.
Citation
Bull, L., Cao, Y. J., Ireson, N., Bull, L., & Miles, R. (2000). Distributed learning control of traffic signals. Lecture Notes in Artificial Intelligence, 1803, 117-126. https://doi.org/10.1007/3-540-45561-2_12
Journal Article Type | Conference Paper |
---|---|
Publication Date | Jan 1, 2000 |
Journal | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
Print ISSN | 0302-9743 |
Electronic ISSN | 1611-3349 |
Publisher | Springer Verlag |
Peer Reviewed | Not Peer Reviewed |
Volume | 1803 |
Pages | 117-126 |
Series Title | Lecture Notes in Computer Science |
Series Number | 1803 |
ISBN | ; |
DOI | https://doi.org/10.1007/3-540-45561-2_12 |
Keywords | algorithm analysis and problem complexity, computer communication, networks, image processing and computer vision, systems and information theory in engineering |
Public URL | https://uwe-repository.worktribe.com/output/1094948 |
Publisher URL | http://dx.doi.org/10.1007/3-540-45561-2_12 |
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