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

Version 2 2024-06-04, 02:17
Version 1 2016-03-31, 09:23
conference contribution
posted on 2024-06-04, 02:17 authored by S Araghi, Abbas KhosraviAbbas Khosravi, Douglas CreightonDouglas Creighton
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.

History

Volume

9490

Pagination

583-590

Location

Istanbul, Turkey

Start date

2015-11-09

End date

2015-11-12

ISSN

0302-9743

eISSN

1611-3349

ISBN-13

9783319265346

Language

eng

Publication classification

E Conference publication, E1 Full written paper - refereed

Copyright notice

2015, Springer

Title of proceedings

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Event

Neural Information Processing. Conference (22nd : 2015 : Istanbul, Turkey)

Publisher

Springer

Place of publication

New York, N.Y.

Series

Lecture Notes in Computer Science

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