Busfinder: A Personalized Multimodal Transportation Guide with Dynamic Routing

Abstract

Multimodal routing services with public transportation are already present in many large cities across the globe. In this paper we describe a mobile guide that goes beyond existing solutions, mainly due to its service personalization and its dynamic routing algorithm. Personalization is based on knowledge engineering principles and Semantic Web technologies. The dynamic routing algorithm is based on short term history and estimators and supports cities with pre-installed fleet management systems in the public transport means.