Fuzzy logic based intersection delay estimation

  • Authors:

  • Fengxiang Qiao;Ping Yi;Hai Yang;S. Devarakonda

  • Affiliations:

  • Department of Transportation Studies, Texas Southern University 3100 Cleburne Avenue, Houston, TX 77004, U.S.A.;Department of Civil Engineering, The University of Akron Akron, OH 44325-3905, U.S.A.;Department of Civil Engineering, The Hong Kong University of Science and Technology Clear Water Bay, Kowloon, Hong Kong, P.R. China;Department of Civil Engineering, The University of Akron Akron, OH 44325-3905, U.S.A.

  • Venue:
  • Mathematical and Computer Modelling: An International Journal
  • Year:
  • 2002

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Abstract

A fuzzy logic based delay estimation system is proposed and modelled. Conventional method of delay study involves solving static engineering equations in which only technical factors (traffic demand, roadway geometry, and signal control, etc.) are considered and the affect of nontechnical factors (such as weather or visibility) cannot be analyzed since they do not follow a predefined process. The fuzzy logic based delay estimation combines the complex technical and nontechnical factors and is adaptive to the changing driving environment. The rule base of the delay estimation system is constructed either following a mathematical model or from real-time traffic operational data. Simulation and field test of the fuzzy system have shown that fuzzy logic based modelling is a promising approach to improving intersection delay estimation.