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. Attached Files Name Description MIMEType Size Downloads Title Optimal fuzzy traffic signal controller for an isolated intersection Author(s) Araghi,S Khosravi,A orcid.org/0000-0001-6927-0744 Creighton,D orcid.org/0000-0002-9217-1231 Nahavandi,S 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 Document type: Conference Paper Collection: Centre for Intelligent Systems Research Related Links Link Description Connect to Elements publication management system Go to link with your DU access privileges   Connect to published version Go to link with your DU access privileges   Publisher URL Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Tue, 14 Apr 2015, 14:58:01 EST Tue, 14 Apr 2015, 14:59:17 EST Tue, 14 Apr 2015, 15:00:03 EST Thu, 16 Apr 2015, 05:10:06 EST Thu, 16 Apr 2015, 06:11:47 EST Mon, 20 Apr 2015, 14:00:39 EST Mon, 20 Apr 2015, 14:01:35 EST Fri, 22 May 2015, 13:27:25 EST Mon, 25 May 2015, 08:14:13 EST Wed, 27 May 2015, 15:41:13 EST Wed, 27 May 2015, 15:43:12 EST Mon, 12 Oct 2015, 16:02:56 EST Mon, 18 Jul 2016, 15:34:59 EST Filtered Full Citation counts:   Cited 2 times in TR Web of Science Cited 4 times in Scopus Search Google Scholar Access Statistics: 194 Abstract Views, 3 File Downloads  -  Detailed Statistics Created: Tue, 14 Apr 2015, 15:00:03 EST

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