TRIP DISTRIBUTION MODELLING USING FUZZY LOGIC AND A GENETIC ALGORITHM |
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| Authors: | MILICA KALIĆ DUŠAN TEODOROVIĆ |
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| Affiliation: | 1. Faculty of Transport and Traffic Engineering, University of Belgrade, Vojvode Stepe 305, 11000 Belgrade, Serbia and Montenegro;2. The Charles E. Via, Jr. Department of Civil and Environmental Engineering, Virginia Polytechnic Institute and State University, 7054 Haycock Road, Falls Church, VA 22043, USA |
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| 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. |
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| Keywords: | Transportation planning Trip distribution Soft computing Fuzzy logic Genetic algorithm |
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