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Distributed learning control of traffic signals

Bull, L.; Cao, Y. J.; Ireson, N.; Bull, Larry; Miles, R.

Authors

L. Bull

Y. J. Cao

N. Ireson

Lawrence Bull Larry.Bull@uwe.ac.uk
AHOD Research and Scholarship and Prof

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.

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Peer Reviewed Not Peer Reviewed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 ;
APA6 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
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
Publisher URL http://dx.doi.org/10.1007/3-540-45561-2_12