Adaptive Route Choice Model for Intelligent Route Guidance Using a Rule-Based Approach

Abstract

A route choice model was devised for personalized route guidance; it can adaptively change its routing function according to the demands of the user. A strategy for personalized route guidance is to incorporate an adaptation process into the route selection rules. In a study, regularities in route selection were discovered by using a rule-based approach, the C4.5 algorithm, which had advantages over other methods because of its comprehendible model structure. The route choice model is combined with a user interface, enabling the efficient collection of user feedback. To examine the adaptability of the model, experiments in which user preferences are predefined and later changed during the tests were carried out. The results of the experiments indicate the applicability of the model in personalized route guidance.