Informed Rural Passenger

Informed Rural Passenger

Millions of pounds have been spent on developing nationwide travel information services but many journey planning scenarios, particularly in rural areas where there may be an underlying lack of potential solutions, cannot be included due to incomplete, missing or inaccurate data.

This project is investigating the use of linked open data to create a transport information ecosystem within which we can explore issues such as data provenance, reliability of passenger-sourced information, and travel behaviour change. Central to the approach is the use of mobile devices to help instrument the rural transport environment.

Project Objectives


Review the state-of-the-art in journey planning and passenger information systems including public and other shared transport modes.

User-Led Requirements

Establish user information requirements for the journey planning process in rural contexts.

Knowledge Representation

Design semantic models to underpin the rural passenger information ecosystem, including capturing provenance.

Cloud Platform

Develop a prototype cloud-based platform for a rural passenger information ecosystem, associated knowledge layers and scalable query/reasoning capabilities.

Prototype Services

Create prototype services that utilise the knowledge and information components of the ecosystem to support real-time information and community content construction.

Novel Interfaces

Apply user-centred approaches to develop novel user-interface modalities for communicating travel information via mobile and desktop clients.


Develop a component that assess the quality of information utilising the ecosystem knowledge and information components.


Evaluate the system in a trial area, including measurement of changes in travel behaviour in response to customised travel information.


  • Testimonial

    Peter Edwards

    Pete Edwards is Professor of Computing Science and Director of the dot.rural Digital Economy Hub. He has over 25 years experience in distributed information systems, including research on aspects of distributed problem-solving and data-mining. His current research interests are focused around intelligent information infrastructures, with particular emphasis on provenance, information quality, and trust; these are explored in the context of applications built using linked (open) data.

  • Testimonial

    John D. Nelson

    John Nelson is Professor of Transport Studies, Director of the Centre for Transport Research and leader for Intelligent Mobility in dot.rural. He is particularly interested in the application and evaluation of new technologies to improve public transport and current projects cover many aspects of mobility management including investigations of internet-based journey planners, flexible transport systems and Bus Rapid Transit. His research interests include: user requirements of both passengers and public transport operators and evaluating the impact of an enhanced information ecosystem on trip planning, activity patterns and longer-term behaviour change.

  • Testimonial

    Mark Beecroft

    Mark Beecroft is a Lecturer in Transport Studies he is interested in the interactions between transport users, policymakers and service providers and new/emerging technologies which support transport. His broader research interests are intelligent transport systems, transport policy, transport history, personal security in transport and transport education.

    Mark’s research interests include: exploring issues related to the influence of individually tailored travel information upon travel behavior.

  • Testimonial

    Caitlin Cottrill

    Caitlin Cottrill is a Lecturer in Geography & Environment, and has particular interest in applications of technology for improvement of access and mobility. Among her research interests, Caitlin is interested in crowdsourced data for more effective transport decision making, and in how this data can in turn be used for more effective transport planning on the part of operators.

  • Testimonial

    Jeff Z. Pan

    Jeff Z. Pan is a Senior Lecturer and the Deputy Director of Research in the Department of Computing Science. He has over 100 refereed publications and serves on the Editorial Board of the Journal of Web Semantics (JoWS, impact factor 3.4) and the International Journal on Semantic Web and Information Systems (IJSWIS). He is a key contributor to the W3C OWL2 standard and is widely recognised for his work on scalable and efficient ontology reasoning and query answering (see e.g. the TrOWL Tractable OWL2 reasoning infrastructure he leads,

    Jeff’s research interests include: scalable and efficient ontology reasoning and query answering, in particular for trust and reputation management.

  • Testimonial

    Yaji Sripada

    Yaji Sripada is a Lecturer in Computing Science. He is interested in developing computational techniques for generating linguistic descriptions of complex data. He is one of the founding directors of Data2Text Ltd, a university spin-off that builds software systems to automatically generate textual summaries of complex data.

    Yaji’s research interests include: exploring the issues related to presentation of individually tailored travel information to passengers with the aim of achieving behavioral change.

  • Testimonial

    David Corsar

    David Corsar is a computing science research fellow at the dot.rural Digital Economy Research Hub at the University of Aberdeen. He is interested in knowledge acquisition on the Semantic Web, employing Semantic Web technologies for knowledge representation, and reasoning with those models.  He received his PhD in computing science from the University of Aberdeen, UK in 2009, on the topic of creating knowledge-based systems through the use of ontology mapping and ontology guided acquisition of rules for particular types of problem solvers.

    David’s research interests include: exploring issues regarding the integration of multiple sources of linked open data, crowdsourcing linked data and representing both the data and its provenance in order to support reasoning about trust, quality, reliability, reputation about users placed within the context of their explicit and also implicit social networks.

  • Testimonial

    Nagendra Velaga

    Nagendra R Velaga received his Masters degree from Indian Institute of Technology (IIT) Bombay in India; and PhD in Intelligent transport systems (ITS) from Loughborough University, UK in 2010. He is currently working as an Assistant Professor in Transportation Systems Engineering division, IIT Bombay. Before joining with IIT Bombay, he was working as a Research
    Fellow at the RCUK funded Digital Economy Research Hub, University of Aberdeen, UK. Nagendra’s research interests mainly focus on Intelligent Transportation Systems (ITS).

    Nagendra’s research interests include: developing a hybrid map-matching algorithm; GIS and GPS analysis and support; case study development; reliability analysis of information provided by passengers; and user behavior change.

  • Testimonial

    Chris Baillie

    Chris Baillie is a PhD student working with Prof. Peter Edwards and Dr. Wamberto Vasconcelos. His research aims to investigate how reasoners can evaluate the quality of sensor observations published as linked data and the role provenance can play in quality assessment process. He has a BSc(Hons) in Computing Science from the University of Aberdeen.

  • Testimonial

    Milan Markovic

    Milan Markovic is a PhD research student at the dot.rural Digital Economy Research Hub at the University of Aberdeen. His research topic is entitled “Linked Open Data and the Crowd”

    Milan’s research interests include: crowdsourcing of linked data, provenance and linked data streams.

  • Testimonial

    Konstantinos Papangelis

    Research topic entitled “Exploiting Digital Technologies to Influence Rural Travel Behaviours”



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Project Partners

We are working with the following partners on this project



Scottish Borders College

Scottish Borders Council