• DocumentCode
    2735538
  • Title

    Continuous within query in road networks

  • Author

    Huang, Yuan-Ko ; Lin, Lien-Fa

  • Author_Institution
    Dept. of Inf. Commun., Kao-Yuan Univ., Kaohsiung, Taiwan
  • fYear
    2011
  • fDate
    4-8 July 2011
  • Firstpage
    1176
  • Lastpage
    1181
  • Abstract
    In recent years, the research community introduced various methods for processing spatio-temporal queries. Continuous Within query (and CWQ) is an important type of spatio-temporal queries with many real applications. A CWQ can be used to find the moving objects whose distances to the moving query object are less than or equal to a user-given distance dε at each time instant. In this paper, we study how to efficiently process the CWQ in road networks, where the criterion for determining the CWQ result is the road distance between objects. We propose an efficient algorithm, namely the continuous within query (CWQ) algorithm, combined with a road distance model to answer the CWQ. Extensive experiments using real road network dataset demonstrate the effectiveness and the efficiency of the proposed algorithm.
  • Keywords
    image motion analysis; query processing; road traffic; traffic information systems; CWQ; continuous within query algorithm; moving query object; real road network dataset; research community; road distance model; spatio-temporal query; Data models; Data structures; Joining processes; Mobile communication; Neodymium; Roads; Spatial databases; Continuous Within query; road distance; road networks; spatio-temporal queries;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications and Mobile Computing Conference (IWCMC), 2011 7th International
  • Conference_Location
    Istanbul
  • Print_ISBN
    978-1-4244-9539-9
  • Type

    conf

  • DOI
    10.1109/IWCMC.2011.5982707
  • Filename
    5982707