Multi-phase Fuzzy Control of Intersections Based on Neural Network

doi:1000-565X(2004)06-0067-04

Journal of South China University of Technology(Natural Science Edition) ›› 2004, Vol. 32 ›› Issue (6): 67-70,79.doi: 1000-565X(2004)06-0067-04

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Multi-phase Fuzzy Control of Intersections Based on Neural Network

Xu Lun-hui¹ Zhong Lu-sheng² Xu Jian-min¹

Received:2003-08-27 Online:2004-06-20 Published:2015-09-09
Contact: 许伦辉（1965-），男，教授，硕士生导师，主要从事最优控制、智能控制、交通工程的研究。 E-mail:azhong2001343@sohu.com
About author:许伦辉（1965-），男，教授，硕士生导师，主要从事最优控制、智能控制、交通工程的研究。

Abstract

Abstract:

According to the features of traffic flow in urban intersections, a multi-phase self-adaptive control algorithm was proposed. Multi-layer BP neural network was used to realize the multi-phase fuzzy control in road intersections by taking the queue length on contiguous phase lanes into account. Simulation results show that, as a new method of the intelligent control of traffic system, the proposed fuzzy neural network controller can decrease the average vehicle delay in single intersections and it possesses excellent learning and generating abilities.

Key words:

traffic control, fuzzy control, neutral network, BP learning algorithm, average vehicle delay

CLC Number:

U412.35

Xu Lun-hui Zhong Lu-sheng Xu Jian-min. Multi-phase Fuzzy Control of Intersections Based on Neural Network[J]. Journal of South China University of Technology(Natural Science Edition), 2004, 32(6): 67-70,79.

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Multi-phase Fuzzy Control of Intersections Based on Neural Network

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