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Linking Open Data and the Crowd for Real-Time Passenger Information

10 Pages Posted: 3 Jul 2018 First Look: Accepted

See all articles by David Corsar

David Corsar

University of Aberdeen - Department of Computing Science

Pete Edwards

University of Aberdeen - Department of Computing Science

John Nelson

University of Aberdeen - Centre for Transport Research

Chris Baillie

University of Aberdeen - Department of Computing Science

Konstantinos Papangelis

Xi'an Jiaotong-Liverpool University (XJTLU) - Department of Computer Science and Software Engineering

Nagendra Velaga

Indian Institute of Technology (IIT), Bombay - Department of Civil Engineering

Abstract

The availability of real-time passenger information (RTPI) is a key factor in making public transport both accessible and attractive to users. Unfortunately, rural areas often lack the infrastructure necessary to provide such information, and the cost of deploying and maintaining the required technologies outside of urban areas is seen as prohibitive. In this paper we present the GetThere system developed to overcome such issues and to provide public transport users in rural areas with RTPI. An ontological framework for representing mobility information is described, along with the Linked Data approach used to integrate heterogeneous data from multiple sources including government, transport operators, and the public. To mitigate possible issues with the veracity of this data, a quality assessment framework was developed that utilises data provenance. We also discuss our experiences working with Semantic Web technologies in this domain, and present results from both a user trial and a performance evaluation of the system.

Keywords: Semantic Web, ontology, quality, provenance, transport, citizen-sensing

Suggested Citation

Corsar, David and Edwards, Pete and Nelson, John and Baillie, Chris and Papangelis, Konstantinos and Velaga, Nagendra, Linking Open Data and the Crowd for Real-Time Passenger Information (2017). Journal of Web Semantics First Look. Available at SSRN: https://ssrn.com/abstract=3199132 or http://dx.doi.org/10.2139/ssrn.3199132

David Corsar (Contact Author)

University of Aberdeen - Department of Computing Science ( email )

Aberdeen, Scotland AB24 3QY
United Kingdom

Pete Edwards

University of Aberdeen - Department of Computing Science ( email )

Aberdeen, Scotland AB24 3QY
United Kingdom

John Nelson

University of Aberdeen - Centre for Transport Research ( email )

Fraser Noble Building
Aberdeen, Scotland AB24 3UE
United Kingdom

Chris Baillie

University of Aberdeen - Department of Computing Science ( email )

Aberdeen, Scotland AB24 3QY
United Kingdom

Konstantinos Papangelis

Xi'an Jiaotong-Liverpool University (XJTLU) - Department of Computer Science and Software Engineering ( email )

111 Ren'ai Road
Suzhou, 215123
China

Nagendra Velaga

Indian Institute of Technology (IIT), Bombay - Department of Civil Engineering ( email )

Bombay
Mumbai
India

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