TRIP DISTRIBUTION MODELLING USING FUZZY LOGIC AND A GENETIC ALGORITHM

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 generati...

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Bibliographic Details
Published in:Transportation planning and technology 2003-06, Vol.26 (3), p.213-238
Main Authors: KALIC, Milica, TEODOROVIC, Dusan
Format: Article
Language:English
Subjects:
Applied sciences
Exact sciences and technology
Fuzzy logic
Genetic algorithm
Genetic algorithms
Ground, air and sea transportation, marine construction
Mathematical models
Passengers
Soft computing
Transportation
Transportation planning
Transportation planning, management and economics
Trip distribution
Trip generation
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Summary: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.
ISSN:0308-1060
1029-0354
DOI:10.1080/0308106032000154575