On past-time indexing of moving objects

  • Authors:
  • Katerina Raptopoulou;Michael Vassilakopoulos;Yannis Manolopoulos

  • Affiliations:
  • Department of Informatics, Aristotle University, Thessaloniki, Greece;Department of Informatics, Technological Educational Institute of Thessaloniki, Thessaloniki, Greece;Department of Informatics, Aristotle University, Thessaloniki, Greece

  • Venue:
  • Journal of Systems and Software
  • Year:
  • 2006

Quantified Score

Hi-index 0.00

Visualization

Abstract

Tracking of mobile objects trajectories is one of many modern applications supported by Spatiotemporal databases. Within the context of this application, queries about the present, future or past positions of the objects need to be answered. Several indexing methods have been proposed to efficiently handle such spatiotemporal queries. In the current paper, we propose a method for indexing the historic (past) positions of moving objects called XBR-tree, a quadtree-like technique that is able to handle both timestamp and window queries. Moreover, we compare experimentally this with other methods proposed in the literature for the same purpose. In particular, we compare XBR-trees with PMR-trees, structures also related to quadtrees and MV3R-trees, R-tree based structures.