A Methodology to Predicate Human-Being's Movement Based on Movement Group

Authors:
Zhe Guo;Zheng Yan;Furong Wang
Affiliations:
-;-;-
Venue:
GREENCOM-CPSCOM '10 Proceedings of the 2010 IEEE/ACM Int'l Conference on Green Computing and Communications & Int'l Conference on Cyber, Physical and Social Computing
Year:
2010

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Abstract

Individual mobility is a popular research topic in mobile communications. One interesting question is: is the movement of human-beings independent although they may not want to follow with each other? This paper explores the phenomenon of group movement by analyzing the traffic variance among cellular base stations. We find that the entropy of group movement is less than the sum of individual's and the trajectory of group movement is somehow steady. Applying this conclusion, we proposed a methodology to predict a user's location based on group movement. Our verification based on real mobile user data shows that this method has sound accuracy.