Host: Japan Society for Fuzzy Theory and Intelligent Informatics
This paper suggests the hybrid Neuro-Fuzzy Multinomial Logit model for use in transportation studies. The model is applied for estimating travelers behavior in the context of the transport modal choice problem, where the modes of bus, subway and automobile are investigated. The model is evaluated by comparing its results with the results of a Multinomial Logit model. Moreover, the probabilities of selecting a mode obtained by applying the two models are compared with the actual transport modal choices, showing the efficiency of the suggested model in practical transportation problems.
