IEEE Communications Magazine · 2013 · 207 citations · 13 references
Social SciencesData ScienceData MiningTransportationUrban AnalyticsMobility Pattern AnalysisMobility PatternsSmart CitiesSmart City SystemsUrban MobilityUrban TransportationHuman Mobility AnalysisHuman Mobility PatternsMobility Anomaly DetectionMobility Data AnalysisMobility Data AnalyticsSmart MobilityState-of-the-art ReviewTrajectory Mining
Traces of moving objects in a city, which depict lots of semantics concerning human mobility and city dynamics, are becoming increasingly important. In this article, we first give a brief introduction to trace data; then we present six research issues in trace analysis and mining, and survey the state-of-the-art methods; finally, five promising application domains in smart cities are discussed.
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Limits of Predictability in Human Mobility
Chaoming Song, Zehui Qu, Nicholas Blumm et al. · Science · 2010 · 3.2K citations
Location systems for ubiquitous computing
Jeffrey Hightower, G. Borriello · Computer · 2001 · 3K citations
Computing, Information Technology, Geographic Information Systems +15
The scaling laws of human travel
Dirk Brockmann, Lars Hufnagel, T. Geisel · Nature · 2006 · 2.2K citations · Full text
Fosca Giannotti, Mirco Nanni, Fabio Pinelli et al. · 2007 · 1K citations
Computing, Data Science, Data Mining +14