NDLI: A novel fuzzy method to traffic light control based on unidirectional selective cellular automata for urban traffic

Content Provider	IEEE Xplore Digital Library
Author	Shakeri, M. Deldari, H. Rezvanian, A. Foroughi, H.
Copyright Year	2008
Description	Author affiliation: Dept. of Comput. Eng., Azad Univ. of Qazvin, Qazvin, Iran (Rezvanian, A.) \|\| Dept. of Comput. Eng., Ferdowsi Univ. of Mashhad, Mashhad, Iran (Shakeri, M.; Deldari, H.; Foroughi, H.)
Abstract	Vehicular travel which demands on the concurrent operations and parallel activities is increasing throughout the world. In this paper to control urban traffic, we study the optimization of traffic light controller in a city and present a fuzzy algorithm based on cellular automata. In existent system factors like priority of streets of intersection and width/length of streets are assumed equal. However, in real situations parameters like time during the day, density of vehicles of street and number of shopping centers have determinant effects on amount of traffic of streets. To overcome such limitations we propose a three leveled fuzzy system. At first level priority of street is computed based on fuzzy rules. At second level real velocity of vehicles is calculated. We use CA for simulating vehicles' density transmission. At third level by regarding priority of street and amount of density, decision for changing status of traffic light is done.
Starting Page	300
Ending Page	305
File Size	1243472
Page Count	6
File Format	PDF
ISBN	9781424421350
DOI	10.1109/ICCITECHN.2008.4803071
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-12-24
Publisher Place	Bangladesh
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Traffic Control Telecommunication traffic Automated highways Fuzzy Control Lighting control Urban Traffic Traffic Light Control Vehicles Fuzzy control Unidirectional Selective Cellular Automata Automatic control Traffic control Cities and towns Computer networks Cellular Automata Model Fuzzy systems
Content Type	Text
Resource Type	Article

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