Skip to main content
SpringerLink
Log in

Indexing moving objects for directions and velocities queries

  • Published:
Information Systems Frontiers Aims and scope Submit manuscript

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.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14

Similar content being viewed by others

References

  • Bimonte, S., & Miquel, M. (2010). When spatial analysis meets olap: Multidimensional model and operators. International Journal of Data Warehousing and Mining, 6(4), 33–60.

    Article  Google Scholar 

  • Choi, Y.-J., & Chung, C.-W. (2002). Selectivity estimation for spatio-temporal queries to moving objects. In Proceedings of the 2002 ACM SIGMOD international conference on Management of data. SIGMOD ’02 (pp. 440–451). New York, NY, USA: ACM.

    Chapter  Google Scholar 

  • Choi, Y.-J., Min, J.-K., Chung, C.-W. (2004). A cost model for spatio-temporal queries using the TPR-tree. Journal of Systems and Software, 73(1), 101–112.

    Article  Google Scholar 

  • Delot, T., Ilarri, S., Cenerario, N., Hien, T. (2011). Event sharing in vehicular networks using geographic vectors and maps. Mobile Information Systems, 7(1), 21–44.

    Google Scholar 

  • Guttman, A. (1984). R-trees: A dynamic index structure for spatial searching. In International conference on management of data (pp. 47–57).

  • Jensen, C.S., Lin, D., & Ooi, B.C. (2004). Query and update efficient B+-tree based indexing of moving objects. In Proceedings of the thirtieth international conference on very large data bases (Vol. 30, pp. 768–779). VLDB ’04. VLDB Endowment.

  • Jensen, C.S., Lin, D., Ooi, B.C., Zhang, R. (2006). Effective density queries on continuouslymoving objects. In ICDE (p. 71).

  • Kwon, D., Lee, S., Lee, S. (2002). Indexing the current positions of moving objects using the lazy updateR-tree. In Mobile Data Management, MDM (pp. 113–120).

  • Lau, A. (2005). Processing frequent updates with the TPR*-tree using bottom-up updates. Master’s thesis, University of Waterloo, Ontario Canada N2L 3G1.

  • Liao, W., Tang, G., Jing, N., Zhong, Z. (2006). Vtpr-tree: An efficient indexing method for moving objects with frequent updates. Advances in conceptual modeling—theory and practice. Lecture notes in computer science (Vol. 4231, pp. 120–129). Berlin / Heidelberg: Springer.

  • Lin, B., & Su, J. (2004). On bulk loading TPR-tree. In Proceedings of the international conference on mobile data management (pp. 114–124).

  • Lin, B., & Su, J. (2005). Handling frequent updates of moving objects. In 14th ACM international conference on information and knowledge management (pp. 493–500).

  • Lin, D. (2006). Indexing and querying moving objects databases. PhD thesis, National University of Singapore, Singapore.

  • Morvan, F., & Hameurlain, A. (2011). A mobile relational algebra. Mobile Information Systems, 7(1), 1–20.

    Google Scholar 

  • Okabe, A., Boots, B., Sugihara, K., Chiu, S.N., Kendall, D.G. (2008). Spatial tessellations: Concepts and applications of voronoi diagrams (pp. 585–655). Wiley.

  • Rodriguez, J.M., Zunino, A., Campo, M.R. (2011). Introducing mobile devices into grid systems: a survey. International Journal of Web and Grid Services, 7(1), 1–40.

    Article  Google Scholar 

  • Saltenis, S., Jensen, C.S., Leutenegger, S.T., Lopez, M.A. (2000). Indexing the positions of continuously moving objects. SIGMOD Record, 29, 331–342.

    Article  Google Scholar 

  • Taniar, D., Leung, C.H.C., Rahayu, W., Goel, S. (2008). High performance parallel database processing and grid databases. Wiley Publishing.

  • Taniar, D., & Rahayu, J.W. (2002). A taxonomy of indexing schemes for parallel database systems. Distributed and Parallel Databases, 12(1), 73–106.

    Article  Google Scholar 

  • Taniar, D., & Rahayu, J.W. (2004). Global parallel index for multi-processors database systems. Information Science, 165(1–2), 103–127.

    Article  Google Scholar 

  • Tao, Y., Papadias, D., Sun, J. (2003). The TPR*-tree: An optimized spatio-temporal access method for predictive queries. In VLDB (pp. 790–801).

  • Tung, H.D.T., Jung, Y.J., Lee, E.-J., Ryu, K.H. (2004). Moving point indexing for future location query. ER (Workshops) (pp. 79–90).

  • Waluyo, A.B., Srinivasan, B., Taniar, D. (2004). A taxonomy of broadcast indexing schemes for multi channel data dissemination in mobile database. AINA (1) (pp. 213–218).

  • Xuan, K., Zhao, G., Taniar, D., Rahayu, W., Safar, M., Srinivasan, B. (2011). Voronoi-based range and continuous range query processing in mobile databases. Journal of Computer and System Sciences, 77(4), 637–651.

    Article  Google Scholar 

  • Xuan, K., Zhao, G., Taniar, D., Srinivasan, B. (2008). Continuous range search query processing in mobile navigation. In Proceedings of the 2008 14th IEEE international conference on parallel and distributed systems (pp. 361–368). Washington, DC, USA: IEEE Computer Society.

    Chapter  Google Scholar 

  • Yang, Y., Claramunt, C., Aufaure, M.-A., Zhang, W. (2010). User-centric similarity and proximity measures for spatial personalization. International Journal of Data Warehousing and Mining, 6(2), 59–78.

    Google Scholar 

  • Yildizli, C., Pedersen, T.B., Saygin, Y., Savas, E., Levi, A. (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, 7(1), 46–66.

    Article  Google Scholar 

  • Zhao, G., Xuan, K., Rahayu, W., Taniar, D., Safar, M., Gavrilova, M., Srinivasan, B. (2011). Voronoi-based continuous k nearest neighbor search in mobile navigation. IEEE Transactions on Industrial Electronics, 58(6), 2247–2257.

    Article  Google Scholar 

Download references

Acknowledgements

This research has been partially funded by the Australian Research Council (ARC) Discovery Project (Project No: DP0987687). The source of our implementations can be downloaded from the following URL: http://users.monash.edu/~dtaniar/MovingObjectIndex-ISF.

Author information

Authors and Affiliations

  1. Clayton School of Information Technology, Monash University, Clayton, VIC, 3800, Australia

    Sultan Alamri & David Taniar

  2. Computer Engineering Department, Kuwait University, P.O. Box 5969, Safat, 13060, Kuwait

    Maytham Safar

Authors
  1. Sultan Alamri
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. David Taniar
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Maytham Safar
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Sultan Alamri.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Alamri, S., Taniar, D. & Safar, M. Indexing moving objects for directions and velocities queries. Inf Syst Front 15, 235–248 (2013). https://doi.org/10.1007/s10796-012-9367-8

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10796-012-9367-8

Keywords

Search

Navigation