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Personalized Intelligent Mobility Platform: An Enrichment Approach Using Social Media

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Intelligent Decision Technology Support in Practice

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 42))

Abstract

This chapter aims to present a technical approach for developing a personalized mobility knowledge base supported by mechanisms for extracting and processing tweets related with traffic events, in order to support highly specific assistance and recommendations to urban commuters. In order to address a personalized mobility knowledge base, a step-wise approach is presented with the purpose of construction and enriching a knowledge model from heterogeneous data sources providing real-time information via Personal Digital Assistants (PDAs). The approach presented is decomposed into several steps, starting from data collection and knowledge base formalization targeting the development of a personalized intelligent route planner, enabling a more efficient decision support to urban commuters. The work presented here, is still part of ongoing work currently addressed under the EU FP7 MobiS project. Results achieved so far do not address the final conclusions of the project but form the basis for the formalization of the domain knowledge do be acquired.

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Notes

  1. 1.

    See http://sites.ieee.org/itss/.

  2. 2.

    See https://twitter.com/twitraffic.

  3. 3.

    See http://wiki.openstreetmap.org/.

  4. 4.

    See http://www.geofabrik.de/.

  5. 5.

    See http://www.routino.org/.

  6. 6.

    See https://developers.google.com/transit/gtfs/.

  7. 7.

    See https://developers.google.com/.

  8. 8.

    See https://www.tripit.com/developer.

  9. 9.

    See https://developer.foursquare.com/docs/.

  10. 10.

    See https://developers.facebook.com/docs/reference/api/.

  11. 11.

    See http://www.cyc.com/documentation.

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Acknowledgments

The authors acknowledge the European Commission for its support and partial funding and the partners of the research project: FP7-318452 MobiS.

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Authors and Affiliations

  1. UNINOVA, Centre of Technology and Systems, Monte de Caparica, 2829-516, Caparica, Portugal

    Ruben Costa, Paulo Figueiras & Carlos Gutierrez

  2. Jozef Stefan Institute, Jubljana, Slovenia

    Luka Bradesko

Authors
  1. Ruben Costa
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  2. Paulo Figueiras
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  3. Carlos Gutierrez
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  4. Luka Bradesko
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Corresponding author

Correspondence to Ruben Costa .

Editor information

Editors and Affiliations

  1. School of Engineering, KES Centre, University of South Australia , Adelaide, South Australia, Australia

    Jeffrey W. Tweedale

  2. FCT Campus, UNINOVA, Caparica, Portugal

    Rui Neves-Silva

  3. School of Engineering, University of South Australia, Adelaide, South Australia, Australia

    Lakhmi C. Jain

  4. Sellinger School of Business and Management, Loyola University Maryland, Baltimore, Maryland, USA

    Gloria Phillips-Wren

  5. Graduate School of IPS, Waseda University, Fukuoka, Japan

    Junzo Watada

  6. KES International, Shoreham-by-sea, United Kingdom

    Robert J. Howlett

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Costa, R., Figueiras, P., Gutierrez, C., Bradesko, L. (2016). Personalized Intelligent Mobility Platform: An Enrichment Approach Using Social Media. In: Tweedale, J., Neves-Silva, R., Jain, L., Phillips-Wren, G., Watada, J., Howlett, R. (eds) Intelligent Decision Technology Support in Practice. Smart Innovation, Systems and Technologies, vol 42. Springer, Cham. https://doi.org/10.1007/978-3-319-21209-8_5

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  • DOI: https://doi.org/10.1007/978-3-319-21209-8_5

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