MBR models for uncertainty regions of moving objects

Shayma Alkobaisi, Wan D. Bae, Seon Ho Kim, Byunggu Yu

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    4 Citations (Scopus)

    Abstract

    The increase in the advanced location based services such as traffic coordination and management necessitates the need for advanced models tracking the positions of Moving Objects (MOs) like vehicles. Computers cannot continuously update locations of MOs because of computational overhead, which limits the accuracy of evaluating MOs' positions. Due to the uncertain nature of such positions, efficiently managing and quantifying the uncertainty regions of MOs are needed in order to improve query response time. These regions can be rather irregular which makes them unsuitable for indexing. This paper presents Minimum Bounding Rectangles (MBR) approximations for three uncertainty region models, namely, the Cylinder Model ( ), the Funnel Model of Degree 1 ( ) and the Funnel Model of Degree 2 ( ). We also propose an estimation of the MBR of that achieves a good balance between computation time and selectivity (false-hits). Extensive experiments on both synthetic and real spatio-temporal datasets showed an order of magnitude improvement of the estimated model over the other modeling methods in terms of the number of MBRs retrieved during query process, which directly corresponds to the number of physical page accesses.

    Original languageEnglish
    Title of host publicationDatabase Systems for Advanced Applications - 13th International Conference, DASFAA 2008, Proceedings
    Pages126-140
    Number of pages15
    DOIs
    Publication statusPublished - 2008
    Event13th International Conference on Database Systems for Advanced Applications, DASFAA 2008 - New Delhi, India
    Duration: Mar 19 2008Mar 21 2008

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume4947 LNCS
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Other

    Other13th International Conference on Database Systems for Advanced Applications, DASFAA 2008
    Country/TerritoryIndia
    CityNew Delhi
    Period3/19/083/21/08

    ASJC Scopus subject areas

    • Theoretical Computer Science
    • General Computer Science

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