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  • 标题:DESIGN AN OPTIMIZED FUZZY CLASSIFIER SYSTEM FOR URBAN TRAFFIC NETWORK
  • 本地全文:下载
  • 作者:EHSAN AZIMIRAD ; JAVAD HADDADNIA
  • 期刊名称:Journal of Theoretical and Applied Information Technology
  • 印刷版ISSN:1992-8645
  • 电子版ISSN:1817-3195
  • 出版年度:2012
  • 卷号:41
  • 期号:1
  • 页码:103-110
  • 出版社:Journal of Theoretical and Applied
  • 摘要:Traffic control in large cities is a difficult and non-trivial optimization problem. This paper presents a optimized classifier system using fuzzy logic for recognize and traffic signal control in a single intersection. Also this paper presents preliminary work into designing an intelligent local controller primarily for distributed traffic control systems by fuzzy logic. The idea is to use a classifier system with a fuzzy rule representation to determine useful control rules within the dynamic environment. Results show that the performance of the proposed traffic controller is best and error is very low.
  • 关键词:Fuzzy Classifier; State-Space Equations; Traffic Signal; Fuzzy Controller
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