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TS2-tree - an efficient similarity based organization for trajectory data

Published:07 November 2007Publication History

ABSTRACT

The increasingly popular GPS technology and the growing amount of trajectory data it generates create the need for developing applications that efficiently store and query trajectories of moving objects. In this paper we introduce TS2 tree, a novel indexing structure for organizing trajectory data based on similarity between trajectories. TS2 tree provides lower and upper bounds on distance between trajectories, based on which we propose a general framework for effectively answering a wide range of similarity-based trajectory queries such as similarity threshold (ST) query and similarity best fit (SBF) query. The multifold reduction in query computation times and the number of I/O operations is demonstrated through an extensive experimental evaluation.

References

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    • Published in

      cover image ACM Other conferences
      GIS '07: Proceedings of the 15th annual ACM international symposium on Advances in geographic information systems
      November 2007
      439 pages
      ISBN:9781595939142
      DOI:10.1145/1341012

      Copyright © 2007 ACM

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 7 November 2007

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      Overall Acceptance Rate220of1,116submissions,20%

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