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ISTC-CC Abstract
Human Mobility Modeling at Metropolitan Scales
10th ACM International Conference on Mobile Systems, Applications, and Services (MobiSys'12), June 2012.
Sibren Isaacman, Richard Becker†, Ramón Cáceres†, Margaret Martonosi,
James Rowland†, Alexander Varshavsky†, Walter Willinger†
Princeton University, Princeton, NJ, USA
†AT&T Labs, Florham Park, NJ, USA
Models of human mobility have broad applicability in fields such as mobile computing, urban planning, and ecology. This paper proposes and evaluates WHERE, a novel approach to modeling how large populations move within different metropolitan areas. WHERE takes as input spatial and temporal probability distributions drawn fromempirical data, such as Call Detail Records (CDRs) from a cellular telephone network, and produces synthetic CDRs for a synthetic population. We have validated WHERE against billions of anonymous location samples for hundreds of thousands of phones in the New York and Los Angeles metropolitan areas. We found that WHERE offers significantly higher fidelity than other modeling approaches. For example, daily range of travel statistics fall within one mile of their true values, an improvement of more than 14 times over aWeighted RandomWaypoint model. Our modeling techniques and synthetic CDRs can be applied to a wide range of problems while avoiding many of the privacy concerns surrounding real CDRs.
FULL PAPER: pdf