Type-II fuzzy route choice modeling

Abstract

Route choice modeling is one of the most important parts of traffic assignment problem. Recently, this model is used to describe the reactions of drivers to Traveler Information Systems in order to develop accurate Advanced Traffic Management and Information System (ATMIS). Therefore accurate model is necessary. In this paper we proposed a new model based on Type-II fuzzy logic to model route choice problem. This model can take account of the imprecision, uncertainties and vagueness lying in the dynamic choice process and makes more accurate modeling of drivers' behavior than deterministic, stochastic and Type-I fuzzy models. In our proposed model we consider average speed and cost separately and use Type-II fuzzy reasoning method to consider both elements. We obtain the initial membership functions of the average speed and the cost by using Elicitation and Heuristic Selection method. A Type-II fuzzy rule base using standard operators is defined. The results show that the proposed model is more reliable and more accurate in modeling real drivers' behavior and could handle the uncertainties more efficient.