Research on Urban Traffic Signal Control Method at Single Intersection

Abstract:

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A fuzzy logic controller is presented for a four-phase isolated signalized intersection on normal and abnormal conditions. It controls the traffic light timings to ensure smooth flow of traffic with minimal delay, according to the real-time traffic flow information detected by the vehicle detector. A new controller is proposed, in which the fuzzy membership functions are optimized by neural network and the control rules are optimized by genetic algorithm. Results show that the traditional fuzzy controller achieves good control effect and the performance of the controller optimized is better than the traditional one on both normal and abnormal conditions.

Info:

Periodical:

Advanced Materials Research (Volumes 361-363)

Edited by:

Qunjie Xu, Honghua Ge and Junxi Zhang

Pages:

1799-1802

DOI:

10.4028/www.scientific.net/AMR.361-363.1799

Citation:

L. F. Bai and J. X. Xu, "Research on Urban Traffic Signal Control Method at Single Intersection", Advanced Materials Research, Vols. 361-363, pp. 1799-1802, 2012

Online since:

October 2011

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Price:

$35.00

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