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AllAboard: A System for Exploring Urban Mobility and Optimizing Public Transport Using Cellphone Data

  • Michele Berlingerio
  • Francesco Calabrese
  • Giusy Di Lorenzo
  • Rahul Nair
  • Fabio Pinelli
  • Marco Luca Sbodio
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8190)

Introduction

The deep penetration of mobile phones offers cities the ability to opportunistically monitor citizens’ interactions and use data-driven insights to better plan and manage services. In this context, transit operators can leverage pervasive mobile sensing to better match observed demand for travel with their service offerings. With large scale data on mobility patterns, operators can move away from the costly and resource intensive transportation planning processes prevalent in the West, to a more data-centric view, that places the instrumented user at the center of development. In this framework, using mobile phone data to perform transit analysis and optimization represents a new frontier with significant societal impact, especially in developing countries.

Keywords

Mobile Phone Public Transport Transit Operator Mobile Phone Data Rest Service 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. 1.
    Calabrese, F., Ratti, C.: Real time rome. Networks and Communications Studies 20(3-4), 247–258 (2006)Google Scholar
  2. 2.
    Eagle, N., Sandy Pentland, A.: Reality mining: sensing complex social systems. Personal Ubiquitous Comput. 10(4), 255–268 (2006)CrossRefGoogle Scholar
  3. 3.
    Giannotti, F., Nanni, M., Pedreschi, D., Pinelli, F., Renso, C., Rinzivillo, S., Trasarti, R.: Unveiling the complexity of human mobility by querying and mining massive trajectory data. The VLDB Journal 20(5), 695–719 (2011)CrossRefGoogle Scholar
  4. 4.
    Zheng, Y., Zhou, X. (eds.): Computing with Spatial Trajectories. Springer (2011)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Michele Berlingerio
    • 1
  • Francesco Calabrese
    • 1
  • Giusy Di Lorenzo
    • 1
  • Rahul Nair
    • 1
  • Fabio Pinelli
    • 1
  • Marco Luca Sbodio
    • 1
  1. 1.IBM ResearchDublinIreland

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