Route choice modelling in urban transportation networks using fuzzy logic and logistic regression methods

Abstract

This study presents route choice model of transportation network in Denizli using fuzzy logic model (FLM), logistic regression model (LRM) and survey-based data. Four important parameters (traffic safety, travel time, congestion and environmental effects) were used in the models. Fuzzy logic concepts are especially used to take note of imprecision, vagueness and uncertainty characteristics of route choice behaviour. FLM is compared with LRMs and encouraging results are obtained with FLM.