Traffic Fuzzy Controller's Improvement Based on Self-Adaptive Optimal Algorithm

Zhi Yi Xu; Da Lu Guan; Ai Long Fan

doi:10.4028/www.scientific.net/AMR.562-564.1414

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 562-564Traffic Fuzzy Controller's Improvement Based on...

Traffic Fuzzy Controller's Improvement Based on Self-Adaptive Optimal Algorithm

Abstract:

The transport system is a nonlinear, time-varying, lagging large-scale systems. Fuzzy control does not need to build a precise mathematical model, can be easily integrated people's thinking and experience, and is suitable for applications in the traffic signal control system. Here,a self-adaptive optimal algorithm was used to improve the traditional fuzzy controller. Simulation results show that the improved system has higher availability.

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Periodical:

Advanced Materials Research (Volumes 562-564)

Pages:

1414-1417

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.562-564.1414

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Online since:

August 2012

Authors:

Zhi Yi Xu, Da Lu Guan, Ai Long Fan

Keywords:

Corrected Factor, Fuzzy Control Rule, Self-Adaptive Optimal Algorithm

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References

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