• DocumentCode
    3129499
  • Title

    Origin/Destination-estimation Using Cellular Network Data

  • Author

    Mellegård, Erik ; Moritz, Simon ; Zahoor, Mohamed

  • Author_Institution
    Ericsson Res., Ericsson AB, Stockholm, Sweden
  • fYear
    2011
  • fDate
    11-11 Dec. 2011
  • Firstpage
    891
  • Lastpage
    896
  • Abstract
    Today there are more than 600 billion geo special transactions every day in the US alone [1], and most of this data is passing through carriers networks. Hence, the carriers are sitting on a huge pile of potential knowledge which they could make more use of. Earlier attempt on this data have been very ambitious and often failed due to the nature of the data. In this paper present an innovative method that does enough, not too much with the data. Our method addresses how to handle the big data challenge as well as how one could plan to secure the privacy of the end users. The latter being one of the main reasons why carriers have not deployed anything similar yet. They have simply been too afraid of what would happen if the data would be mistreated or perceived as misused.
  • Keywords
    cellular radio; carriers networks; cellular network data; end user privacy; origin/destination-estimation; Base stations; Clustering algorithms; Data privacy; Land mobile radio cellular systems; MONOS devices; Roads; Smart phones; Hadoop; Origin-destination estimation; geospatial; location; mobility; privacy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Mining Workshops (ICDMW), 2011 IEEE 11th International Conference on
  • Conference_Location
    Vancouver, BC
  • Print_ISBN
    978-1-4673-0005-6
  • Type

    conf

  • DOI
    10.1109/ICDMW.2011.132
  • Filename
    6137475