Modeling route choice behaviour in transportation networks by using fuzzy logic and logistic regression techniques

Abstract

Route choice is a complex problem in which the individual benefit is maximized by using many parameters. The effectiveness of a route choice model depends on well-definition of the users' behaviors. The purpose of this study is to model the route choice problem of an important network in Denizli with fuzzy logic using the real data gathered by a survey. Four important parameters; namely travel time, traffic safety, congestion and environmental effects are used in the fuzzy model. The fuzzy logic concepts are especially used to take into account the characteristics of route choice behavior such as imprecision, vagueness and uncertainty. The fuzzy logic model is compared with Logistic Regression Models and the best results are obtained with the Fuzzy Logic Model.