• DocumentCode
    3721420
  • Title

    Large scale trajectory data management

  • Author

    Ayong Ye; Yongxing Zheng

  • Author_Institution
    Key Lab of Network Security and Cryptology, Fujian Normal University, Fuzhou, China
  • fYear
    2015
  • fDate
    7/1/2015 12:00:00 AM
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In recent years, the wide usage of GPS-enabled devices has generated vast volumes of spatio temporal streams of location data, which raising management challenges, such as efficient storage and querying. Therefore, compression techniques are inevitable also in the field of moving object databases. In this paper, we propose a line simplification technique to compress moving object trajectories, which take the change of moving direction as the judgmental threshold to collect GPS points. The efficiency of our technique is demonstrated through an extensive experimental evaluation on trajectory data using real trajectory datasets collected by Geolife project.
  • Keywords
    "Trajectory","Global Positioning System","Mobile communication","Compression algorithms","Time complexity","Dead reckoning","Data mining"
  • Publisher
    ieee
  • Conference_Titel
    Logistics, Informatics and Service Sciences (LISS), 2015 International Conference on
  • Type

    conf

  • DOI
    10.1109/LISS.2015.7369700
  • Filename
    7369700