Research on the traffic flux forecast based on fuzzy linear regression model

  • Authors:

  • Wei Wu;Zhang Yanan;Kang Zhang

  • Affiliations:

  • School of Automation Science and Engineering, South China University of Technology, Guangzhou, China;School of Automation Science and Engineering, South China University of Technology, Guangzhou, China;School of Automation Science and Engineering, South China University of Technology, Guangzhou, China

  • Venue:
  • INES'09 Proceedings of the IEEE 13th international conference on Intelligent Engineering Systems
  • Year:
  • 2009

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Abstract

In this paper, the flux forecast model is studied which based on fuzzy linear regression, and the equation parameters of it are determined by fitting degree and ambiguity degree. They are verified by true data of Jinshan Road on Jiangdong strict in Hengyang City. The fitting degree are almost above 0.5, and fitting the average relative deviation is 6.00%. Compared to the general results of the multiple linear regression, the results of fuzzy linear regression forecast flow projections, are more effective than the latter, with better practicality and higher promotion of value.