JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE) ›› 2012, Vol. 42 ›› Issue (6): 56-62.

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Regional traffic congestion evaluation based on Fuzzy-PCA

LIU Hai-qing, YANG Li-cai*, WU Lei, KONG Lu-lu   

  1. School of Control Science and Engineering, Shandong University, Jinan 250061, China
  • Received:2012-07-31 Online:2012-12-20 Published:2012-07-31

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Abstract:

Urban regional traffic congestion evaluation is the basis for regional traffic management and traffic guidance. To give a quantitative evaluation for the regional traffic congestion, a method based on principal component analysis and fuzzy comprehensive evaluation was proposed. Regarding average travel time as the indicators of traffic congestion, and road sections as influence factors in this method, the influence weight was established by using the method of principal component analysis, and regional traffic congestion was evaluated based on fuzzy comprehensive evaluation. Taking the actual traffic network structure of Jinan for an example, an experiment was given to illustrate the method by using of the traffic simulation software VISSIM and the statistical analysis software SPSS. Results showed that the method could describe urban regional traffic congestion objectively and effectively.

Key words: fuzzy comprehensive evaluation, principal component analysis, regional traffic state, evaluation method

CLC Number: 

  • U491
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