DDYNAMIC MMULTI MMODAL RROUTE PPLANNING:: AN ARTIFICIAL INTELLIGENCE APPROACH Master’s thesis of Gerritjan Eggenkamp Delft University of Technology Faculty of Information Technology and Systems July 2001 Graduation Committee: Dr. drs. L.J.M Rothkrantz Prof. dr. ir. E.J.H. Kerckhoffs Prof. dr. H. Koppelaar (chairman) Eggenkamp, Gerritjan (
[email protected]) Master’s thesis, July 2001 Dynamic Multi Modal Route Planning: an intelligent approach. Delft University of Technology, The Netherlands Faculty of Information Technology and Systems Knowledge Based Systems Group Keywords: Artificial intelligence, Dynamic route planning, Multi modal route planning, Intelligent agents, Expert systems, Personal route guidance. Preface Preface This master’s thesis describes the research I have done to graduate at the Knowledge Based Systems (KBS) of the Delft University of Technology, headed by Prof. dr. H. Koppelaar. This research was done within the Netherlands Research School for Transport, Infrastructure and Logistics, TRAIL, headed by Prof. dr. Ir. P.H. Bovy. Within TRAIL research is carried out into Seamless Multi Modal Transportation (SMM): the utopia in transportation, where travellers are guided during their journey and never have to wait when changing transportation mode, since a central planner knows their destination and allocates transportation means to handle all transportation demands. As we all know this utopia is still day-dreaming, since at the moment it seems even impossible to carry out the train schedules according to plan. During this graduation research it was tried to get one step further towards the SMM utopia: a multi modal route planner was designed that takes into account all known delays.