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Design of distributed adaptive neural traffic signal timing controller by cuckoo search optimization

Araghi, Sahar, Khosravi, Abbas and Creighton, Douglas 2015, Design of distributed adaptive neural traffic signal timing controller by cuckoo search optimization, in ICONIP 2015 : Neural information processing : 22nd International Conference, ICONIP 2015, Istanbul, Turkey, November 9-12, 2015 : proceedings, Spring, New York, N.Y, pp. 583-590, doi: 10.1007/978-3-319-26535-3_66.

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Title Design of distributed adaptive neural traffic signal timing controller by cuckoo search optimization
Author(s) Araghi, Sahar
Khosravi, AbbasORCID iD for Khosravi, Abbas orcid.org/0000-0001-6927-0744
Creighton, DouglasORCID iD for Creighton, Douglas orcid.org/0000-0002-9217-1231
Conference name Neural Information Processing. Conference (22nd : 2015 : Istanbul, Turkey)
Conference location Istanbul, Turkey
Conference dates 9-12 Nov. 2015
Title of proceedings ICONIP 2015 : Neural information processing : 22nd International Conference, ICONIP 2015, Istanbul, Turkey, November 9-12, 2015 : proceedings
Publication date 2015
Series Lecture Notes in Computer Science v.9490
Start page 583
End page 590
Total pages 8
Publisher Spring
Place of publication New York, N.Y
Keyword(s) Science & Technology
Technology
Computer Science, Artificial Intelligence
Computer Science, Theory & Methods
Computer Science
Summary This paper focuses on designing an adaptive controller for controlling traffic signal timing. Urban traffic is an inevitable part in modern cities and traffic signal controllers are effective tools to control it. In this regard, this paper proposes a distributed neural network (NN) controller for traffic signal timing. This controller applies cuckoo search (CS) optimization methods to find the optimal parameters in design of an adaptive traffic signal timing control system. The evaluation of the performance of the designed controller is done in a multi-intersection traffic network. The developed controller shows a promising improvement in reducing travel delay time compared to traditional fixed-time control systems.
ISBN 9783319265346
ISSN 0302-9743
1611-3349
Language eng
DOI 10.1007/978-3-319-26535-3_66
Field of Research 080108 Neural, Evolutionary and Fuzzy Computation
08 Information And Computing Sciences
Socio Economic Objective 970109 Expanding Knowledge in Engineering
HERDC Research category E1 Full written paper - refereed
ERA Research output type E Conference publication
Copyright notice ©2015, Springer
Persistent URL http://hdl.handle.net/10536/DRO/DU:30082484

Document type: Conference Paper
Collection: Centre for Intelligent Systems Research
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