Design and Optimization of Urban Signal Fuzzy Controller Based on IQPSO

Wei Li; Xin Bi; Yun Xia Cao; Jin Song Du

doi:10.4028/www.scientific.net/AMM.527.152

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Design and Optimization of Urban Signal Fuzzy Controller Based on IQPSO
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 527Design and Optimization of Urban Signal Fuzzy...

Design and Optimization of Urban Signal Fuzzy Controller Based on IQPSO

Abstract:

In order to overcome the shortcomings of traffic signal fixed-time control method, a fuzzy control algorithm for urban traffic signal is proposed. The signal phase switching order is adjustable. The improved quantum particle swarm optimization(QPSO) is also introduced to optimize fuzzy control rules of traffic signal controller. Take four-phase traffic signal commonly used in current practice for example. Compared with traffic signal fixed-time control and single fuzzy control method, the control method put forward in this paper can reduce the vehicles’ average delay time in junction. The simulation results show that the proposed algorithm is proved to be an effective and practicable method for urban traffic self-adaptive control.

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Periodical:

Applied Mechanics and Materials (Volume 527)

Pages:

152-155

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.527.152

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Online since:

February 2014

Authors:

Wei Li, Xin Bi*, Yun Xia Cao, Jin Song Du

Keywords:

Fuzzy Control, Improved Quantum Particle Swarm Optimization (IQPSO), Traffic Signal

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