Representing positional uncertainty of individual and aggregated trajectories of moving objects

  • Authors:
  • Manuel G. García;Ivana Ivánová;Arta Dilo;Javier Morales

  • Affiliations:
  • University of Twente, NL;University of Twente, NL;University of Twente, NL;ITC, University of Twente, NL

  • Venue:
  • Proceedings of the 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
  • Year:
  • 2013

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Abstract

Trajectories are used to represent objects' movement and spatio-temporal aggregation of trajectories is commonly used in knowledge discovery. Based on a general workflow to extract knowledge, we identify relevant factors that propagate uncertainty in moving object datasets when using aggregation. We use a probabilistic approach and propose a theoretical model to represent positional uncertainty of trajectories and their aggregation, and implement a prototype system to compute positional uncertainty in pedestrians' movement data.