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In nowadays transportation networks, many multimodal itineraries are possible when traveling from an origin to a destination. Due to the plurality of alternatives, the choice of an option is difficult for the user. In this paper, we propose a novel decision support system to help users in that task. Our method ranks itineraries according to users’ preferences and trip profile based on a fuzzy logic system that transforms the itineraries’ characteristics and user’s preferences into a real number score. Unlike classical systems from Multiple Attribute Decision Making, we take into account the uncertainty both in the evaluation of the attributes and in the relative importance of those attributes. From an itinerary ranking point of view, our fuzzification methods enable to take into account user’s general preferences and preferences in the context of the current trip, hence using the complete alternative set to evaluate a single solution. Finally, the new defuzzification method scores the itineraries, which enables to build a connex transitive order on the solution set. Dependence in alternative evaluation and connex transitive order are scarcely used together for itinerary ranking. The proposed decision support system is generic and could be adapted to many decision criteria, depending on the application. An example, with several relevant ones, is presented through this work. To assess our method, we benchmark it against rankings from real persons obtained by the bias of two surveys. The results show that the rankings generated by the fuzzy logic system are convincing.

Itineraries evaluated and ranked using fuzzy logic