OLAP for moving object data

  • Authors:
  • Oliver Baltzer;Frank Dehne;Andrew Rau-Chaplin

  • Affiliations:
  • Flagstone RE, Suite 700 Cogswell Tower, 2000 Barrington Street, Halifax, NS, B3J 3K1, Canada;School of Computer Science, Carleton University, 1125 Colonel By Drive, Ottawa, ON, K1S 5B6, Canada;Dalhousie University, Faculty of Computer Science, 1459 LeMarchant St., P.O. Box 15000, Halifax, NS, B3H 4R2, Canada

  • Venue:
  • International Journal of Intelligent Information and Database Systems
  • Year:
  • 2013

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Abstract

In this paper, we present an OLAP framework for moving object data. We introduce a new operator GROUP_TRAJECTORIES for group-by operations on moving object data and present two implementation alternatives for computing groups of moving objects for group-by aggregation: group by overlap and group by intersection. We also present an interactive OLAP environment for resolution drill-down/roll-up on sets of trajectories and parameter browsing. We evaluate the performance of our GROUP_TRAJECTORIES operator by using generated as well as real life moving object datasets.