Personalized Fully Multimodal Journey Planner
Michal Jakob, Jan Hrnčíř, Oliva Luis, Francesco Ronzano, Pavol Žilecký, Jason Finnegan · Frontiers in artificial intelligence and applications · 2014
We present an advanced journey planner designed to help travellers to take full advantage of the increasingly rich, and consequently more complex offering of mobility services available in modern cities. In contrast to existing systems, our journey planner is capable of planning with the full spectrum of mobility services; combining individual and collective, fixed-schedule as well as on-demand modes of transport, while taking into account individual user preferences and the availability of transport services. Furthermore, the planner is able to personalize journey planning for each individual user by employing a recommendation engine that builds a contextual model of the user from the observation of user's past travel choices. The planner has been deployed in four large European cities and positively evaluated by hundreds of users in field trials.