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
Link To Document