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Understanding human movement semantics: a point of interest based approach

Published:16 April 2012Publication History

ABSTRACT

The recent availability of human mobility traces has driven a new wave of research on human movement with straightforward applications in wireless/cellular network. In this paper we revisit the human mobility problem with new assumptions. We believe that human movement is not independent of the surrounding locations, i.e. the points of interest that they visit; most of the time people travel with specific goals in mind, visit specific points of interest, and frequently revisit favorite places. Using GPS mobility traces of a large number of users located across two distinct geographical locations we study the correlation between people's trajectories and the differently spread points of interest nearby.

References

  1. Brockmann, D., Hufnagel, L., and Geisel, T. The Scaling Laws of Human Travel. Nature 439 (2006), 462--465.Google ScholarGoogle Scholar
  2. GeoLife GPS Trajectories. http://research.microsoft.com/en-us/downloads/b16d359d-d164-469e-9fd4-daa38f2b2e13/.Google ScholarGoogle Scholar
  3. Gonzalez, M., Hidalgo, C., and Barabasi, A. Understanding Individual Human Mobility Patterns. Nature 453 (2008), 779--782.Google ScholarGoogle ScholarCross RefCross Ref
  4. Trestian, I., Huguenin, K., Su, L., and Kuzmanovic, A. Understanding Human Movement Semantics: A Point of Interest Based Approach. Research Report RR-7716, INRIA, Aug. 2011. http://hal.inria.fr/inria-00616876.Google ScholarGoogle Scholar

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  1. Understanding human movement semantics: a point of interest based approach

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          cover image ACM Other conferences
          WWW '12 Companion: Proceedings of the 21st International Conference on World Wide Web
          April 2012
          1250 pages
          ISBN:9781450312301
          DOI:10.1145/2187980

          Copyright © 2012 Authors

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          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Published: 16 April 2012

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          Overall Acceptance Rate1,899of8,196submissions,23%

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