Research on Urban Traffic Signal Control Method at Single Intersection

Li Fang Bai; Jin Xue Xu

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

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 361-363Research on Urban Traffic Signal Control Method at...

Research on Urban Traffic Signal Control Method at Single Intersection

Abstract:

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.

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Periodical:

Advanced Materials Research (Volumes 361-363)

Pages:

1799-1802

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.361-363.1799

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Online since:

October 2011

Authors:

Li Fang Bai, Jin Xue Xu

Keywords:

Fuzzy Control, Genetic Algorithm (GA), Neural Network (NN), Traffic Signal Control

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References

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