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Trip Distribution Modelling Using Fuzzy Logic And A Genetic Algorithm

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  • MILICA KALIĆ
  • DUŠAN TEODOROVIĆ

Abstract

This article examines possibilities for the application of soft computing techniques for the prediction of travel demand. The model, based on fuzzy logic and a genetic algorithm, successfully solves the trip distribution problem. The possibilities of using the proposed model in solving trip generation, modal split and route choice problems have also been indicated. The model has been tested on a real numerical example. Exceptionally good correspondences between estimated and real values of passenger flows have been obtained.

Suggested Citation

  • Milica Kalić & Dušan Teodorović, 2003. "Trip Distribution Modelling Using Fuzzy Logic And A Genetic Algorithm," Transportation Planning and Technology, Taylor & Francis Journals, vol. 26(3), pages 213-238, June.
    • Handle: RePEc:taf:transp:v:26:y:2003:i:3:p:213-238
    DOI: 10.1080/0308106032000154575
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