Dealing with Bus Delay and User History for Personalized Transportation Recommendation

A personalized system considering user context and social histories is attractive. We present a personalized transportation system called PATRASH: Personalized Autonomous Transportation recommendation System considering user context and History. PATRASH considers not only users´ context and transportation histories, but also real bus delay. The bus delay returned by Bus Delay API (BDAPI) is used for making adjustments of recommended routes. In this paper, we proposes a model for dealing with the bus delay information. We also make confirmation of effectiveness or possibilities of personalized route recommendation based on user context and histories. To this end, we investigated 10 examinees´ usage histories of public transportation as a preliminal case study. The preliminal investigation results promise us to predict individual public transportation route.