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Optimal fuzzy traffic signal controller for an isolated intersection
conference contribution
posted on 2014-01-01, 00:00 authored by Sahar Araghi, Abbas KhosraviAbbas Khosravi, Douglas CreightonDouglas Creighton, Saeid NahavandiThis 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.
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Event
Systems, Man, and Cybernetics. Conference (2014 : San Diego, California)Pagination
435 - 440Publisher
IEEELocation
San Diego, CaliforniaPlace of publication
Piscataway, NJPublisher DOI
Start date
2014-10-05End date
2014-10-08ISBN-13
9781479938407Language
engPublication classification
E Conference publication; E1 Full written paper - refereedCopyright notice
2014, IEEEEditor/Contributor(s)
[Unknown]Title of proceedings
SMC 2014 : Proceedings of the 2014 IEEE International Conference on Systems, Man, and CyberneticsUsage metrics
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