Title: Predicting Human Movement Based on Telecom's Handoff in Mobile Networks
Authors: Lin, Yi-Bing
Huang-Fu, Chien-Chun
Alrajeh, Nabil
資訊工程學系
Department of Computer Science
Keywords: Human movement;Little's Law;mobile computing;mobility management
Issue Date: 1-Jun-2013
Abstract: Investigating human movement behavior is important for studying issues such as prediction of vehicle traffic and spread of contagious diseases. Since mobile telecom network can efficiently monitor the movement of mobile users, the telecom's mobility management is an ideal mechanism for studying human movement issues. The problem can be abstracted as follows: What is the probability that a person at location A will move to location B after T hours. The answer cannot be directly obtained because commercial telecom networks do not exactly trace the movement history of every mobile user. In this paper, we show how to use the standard outputs (handover rates, call arrival rates, call holding time, and call traffic) measured in a mobile telecom network to derive the answer for this problem.
URI: http://dx.doi.org/10.1109/TMC.2012.87
http://hdl.handle.net/11536/21861
ISSN: 1536-1233
DOI: 10.1109/TMC.2012.87
Journal: IEEE TRANSACTIONS ON MOBILE COMPUTING
Volume: 12
Issue: 6
Begin Page: 1236
End Page: 1241
Appears in Collections:Articles


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