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Indexing moving objects for directions and velocities queries

Author

Listed:
  • Sultan Alamri

    (Monash University)

  • David Taniar

    (Monash University)

  • Maytham Safar

    (Kuwait University)

Abstract

Moving object databases are required to support different types of queries with a large number of moving objects. New types of queries namely directions and velocity queries (DV queries), are to be supported and covered. The TPR-tree and its successors are efficient indexes that support spatio-temporal queries for moving objects. However, neither of them support the new DV queries. In this paper, we propose a new index for moving objects based on the TPR*-tree, named Direction and Velocity of TPR*-tree or DV-TPR*-tree, in order to build data a structure based on the spatial, direction and velocity domains. DV-TPR*-tree obtains an ideal distribution that supports and fulfils the new query types (DV queries). Extensive performance studies show that the query performance of DV-TPR*-tree outperforms the TPR-tree and its successors.

Suggested Citation

  • Sultan Alamri & David Taniar & Maytham Safar, 2013. "Indexing moving objects for directions and velocities queries," Information Systems Frontiers, Springer, vol. 15(2), pages 235-248, April.
    • Handle: RePEc:spr:infosf:v:15:y:2013:i:2:d:10.1007_s10796-012-9367-8
    DOI: 10.1007/s10796-012-9367-8
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    References listed on IDEAS

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    1. Can Brochmann Yildizli & Thomas Pedersen & Yucel Saygin & Erkay Savas & Albert Levi, 2011. "Distributed Privacy Preserving Clustering via Homomorphic Secret Sharing and Its Application to (Vertically) Partitioned Spatio-Temporal Data," International Journal of Data Warehousing and Mining (IJDWM), IGI Global, vol. 7(1), pages 46-66, January.
    2. Sandro Bimonte & Anne Tchounikine & Maryvonne Miquel & François Pinet, 2010. "When Spatial Analysis Meets OLAP: Multidimensional Model and Operators," International Journal of Data Warehousing and Mining (IJDWM), IGI Global, vol. 6(4), pages 33-60, October.
    3. Yanwu Yang & Christophe Claramunt & Marie-Aude Aufaure & Wensheng Zhang, 2010. "User-Centric Similarity and Proximity Measures for Spatial Personalization," International Journal of Data Warehousing and Mining (IJDWM), IGI Global, vol. 6(2), pages 59-78, April.
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    Cited by:

    1. Gabriele Kotsis & Ismail Khalil, 2013. "Special issue on Semantic Information Management guest editorial," Information Systems Frontiers, Springer, vol. 15(2), pages 151-157, April.

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