Optimal fuzzy traffic signal controller for an isolated intersection

Araghi,S, Khosravi,A, Creighton,D and Nahavandi,S 2014, Optimal fuzzy traffic signal controller for an isolated intersection, in SMC 2014 : Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, IEEE, Piscataway, NJ, pp. 435-440, doi: 10.1109/SMC.2014.6973946.

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Title Optimal fuzzy traffic signal controller for an isolated intersection
Author(s) Araghi,S
Khosravi,AORCID iD for Khosravi,A orcid.org/0000-0001-6927-0744
Creighton,DORCID iD for Creighton,D orcid.org/0000-0002-9217-1231
Nahavandi,SORCID iD for Nahavandi,S orcid.org/0000-0002-0360-5270
Conference name Systems, Man, and Cybernetics. Conference (2014 : San Diego, California)
Conference location San Diego, California
Conference dates 2014/10/5 - 2014/10/8
Title of proceedings SMC 2014 : Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics
Editor(s) [Unknown]
Publication date 2014
Conference series Systems, Man, and Cybernetics Conference
Start page 435
End page 440
Total pages 6
Publisher IEEE
Place of publication Piscataway, NJ
Summary   This paper aims at optimally adjusting a set of green times for traffic lights in a single intersection with the purpose of minimizing travel delay time and traffic congestion. Fuzzy logic system (FLS) is the method applied to develop the intelligent traffic timing controller. For this purpose, an intersection is considered and simulated as an intelligent agent that learns how to set green times in each cycle based on the traffic information. The FLS controller (FLC) uses genetic algorithm to tune its parameters during learning phase. Finally, The performance of the intelligent FLC is compared with the performance of a FLC with predefined parameters and three simple fixed-time controller. Simulation results indicate that intelligent FLC significantly reduces the total delay in the network compared to the fixed-time method and FLC with manual parameter setting.
ISBN 9781479938407
Language eng
DOI 10.1109/SMC.2014.6973946
Field of Research 080101 Adaptive Agents and Intelligent Robotics
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category E1 Full written paper - refereed
ERA Research output type E Conference publication
Copyright notice ©2014, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30072278

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