Busfinder: A Personalized Multimodal Transportation Guide with Dynamic Routing

Author

Tsolkas, Dimitris ; Passas, Nikos ; Xenakis, Christos ; Papataxiarhis, Vassilis ; Tsetsos, Vassileios

Author_Institution

Dept. of Inf. & Telecommun., Univ. of Athens, Athens, Greece

fYear

2012

fDate

5-7 Oct. 2012

Firstpage

25

Lastpage

30

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.

Keywords

graph theory; information retrieval; knowledge engineering; mobile computing; search problems; semantic Web; traffic information systems; transportation; Busfinder; dynamic routing algorithm; fleet management system; graph search algorithm; knowledge engineering principle; mobile guide; multimodal routing service; personalized multimodal transportation guide; public transportation; semantic Web technology; service personalization; short term history; Algorithm design and analysis; Cities and towns; Heuristic algorithms; Ontologies; Real-time systems; Routing; Transportation; dynamic routing; multimodal transportation; personalized location services;

fLanguage

English

Publisher

ieee

Conference_Titel

Informatics (PCI), 2012 16th Panhellenic Conference on

Conference_Location

Piraeus

Print_ISBN

978-1-4673-2720-6

Type

conf

DOI

10.1109/PCi.2012.19

Filename

6377362