Suggesting personalized itinerary search for travelers in a multimodal transportation system
is a challenging problem. This is due to the increased complexity and diversity of
transportation means, the intricacy and multitude of destinations along with the amount
of rapidly changing information available to the traveler. Providing the transportation user
with the relevant information that only meets his needs, preferences and personal profile is
of foremost importance in efficiently supporting passenger mobility requirements in a
large urban agglomeration.