吉林大学学报(工学版) ›› 2003, Vol. ›› Issue (2): 15-19.

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Inhabits trip distribution model based on maximum information entropy theory

QU Zhao-wei, YAO Rong-han, WANG Dian-hai   

  1. College of Transportation, Jilin University, Changchun 130025, China
  • Received:2002-10-22

Abstract: In order to find general models,several entropy models are put forward according to the maximum information entropy theory in inhabits trip distribution.By changing limited condition,several common models are proved.Because of the difficulty in calibrating parameters in the maximum information entropy models,the entropy method that can effectively select models is used to describe the system distribution.The survey data supports that this method is simple and feasible.And this method is the expansion of the maximum information entropy theory.The models can be applied to the study on the problems of inhabits trip distribution.

Key words: trip distribution, maximum information entropy theory, distribution function

CLC Number: 

  • U491.1+2
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