Fuzzy Neural Network Realized by ANFIS and Its Application to the Traffic Signal Timing Optimization

CUI Bao-xia; YANG Ji-ping; XU Bing

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Volume 35 Issue 1

Feb. 2006

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INFORMATION AND CONTROL > 2006 > 35(1): 79-83.

CUI Bao-xia, YANG Ji-ping, XU Bing. Fuzzy Neural Network Realized by ANFIS and Its Application to the Traffic Signal Timing Optimization[J]. INFORMATION AND CONTROL, 2006, 35(1): 79-83.

Citation:

CUI Bao-xia, YANG Ji-ping, XU Bing. Fuzzy Neural Network Realized by ANFIS and Its Application to the Traffic Signal Timing Optimization[J]. INFORMATION AND CONTROL, 2006, 35(1): 79-83.

Citation:

CUI Bao-xia, YANG Ji-ping, XU Bing. Fuzzy Neural Network Realized by ANFIS and Its Application to the Traffic Signal Timing Optimization[J]. INFORMATION AND CONTROL, 2006, 35(1): 79-83.

Fuzzy Neural Network Realized by ANFIS and Its Application to the Traffic Signal Timing Optimization

1.
Institute of System Engineering, Shenyang University of Technology, Shenyang 110023, China
2.
Shenyang Heavy Machinery Group Co., Ltd., Shenyang 110025, China

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Received Date: September 13, 2005
Published Date: February 19, 2006

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Abstract

Abstract

A parameter-optimization algorithm is proposed to optimize parameters of traditional fuzzy controllers with ANFIS(adaptive neuro-fuzzy inference system),a fuzzy neural network toolkit in Matlab.This algorithm improves the shape and distribution of membership functions of the controllers,and is applied to multi-phase traffic signal timing for the urban isolated intersection.All simulation results prove that the proposed algorithm can reduce average vehicle delay time and the vehicles can pass through intersections more smoothly.
- fuzzy neural network(FNN),
- isolated intersection,
- signal timing,
- membership function

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References (6)

References

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