A comparative study of a hybrid Logit–Fratar and neural network models for trip distribution: case of the city of Isfahan |
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Authors: | S. N. Shetab‐Bushehri S. R. Hejazi |
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Affiliation: | Department of Industrial Engineering, Isfahan University of Technology, Isfahan 84156‐83111, IranAssistant Professor. |
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Abstract: | This paper introduces a new procedure to forecast the future O/D demand. It is a hybrid of logit and Fratar model. The hybrid model has the long run, policy sensitive, characteristic of a logit model, calibrated at sector‐level with little/no zero O/D cells. This feature, joint with a Fratar‐type operation at zonal level within a sector, gives a better performance to this model than either of the two types of the models alone. The performance of the hybrid model is contrasted with a neural network model, and shows encouraging results in a real case. Copyright © 2010 John Wiley & Sons, Ltd. |
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Keywords: | trip distribution logit model Fratar model neural network hybrid Logit– Fratar |
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