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Author:

Yu, Quan (Yu, Quan.) | Rong, Jian (Rong, Jian.) (Scholars:荣建)

Indexed by:

EI Scopus PKU CSCD

Abstract:

Fuzzy logic presented in the paper simulates the control logic of signal controller at oversaturated intersection during peak time. Fuzzy logic rules of green time extension value are given based on the vehicle queue length. The available green time of each approach is decided according to statistical average queue length and the fuzzy logic rules. The fuzzy logic control optimization effect was compared with the effect of traditional optimization method by SimTraffic simulation. The peak hour traffic flow field data of Ping Le Yuan intersection in Beijing city is observed. Based on the delay statistics, the optimization method using fuzzy logic produced preferable improvement over traditional timing method. This method has the popularizing market.

Keyword:

Flow fields Intersections Traffic control Optimization Vehicles Fuzzy logic Traffic signals

Author Community:

  • [ 1 ] [Yu, Quan]Key Laboratory of Transportation Engineering, Beijing University of Technology, Beijing 100022, China
  • [ 2 ] [Rong, Jian]Key Laboratory of Transportation Engineering, Beijing University of Technology, Beijing 100022, China

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Source :

Journal of Beijing University of Technology

ISSN: 0254-0037

Year: 2007

Issue: 11

Volume: 33

Page: 1173-1176

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 9

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