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Big Data from Cellular Networks: Real Mobility Scenarios for Future Smart Cities
5 references·1 citing·23 second hop
Big Data from Cellular Networks: Real Mobility Scenarios for Future Smart Cities (2016)Big Data from Cellular Networks: Real Mob…Steps towards the Extraction of Vehicular Mobility Patterns from 3G Signaling Data (2012)Steps towards the Extraction …Estimating Origin-Destination Flows Using Mobile Phone Location Data (2011)Estimating Origin-Destination…Real-Time Urban Monitoring Using Cell Phones: A Case Study in Rome (2010)Real-Time Urban Monitoring Us…Understanding individual human mobility patterns (2008)Understanding individual huma…Mobility Detection Using Everyday GSM Traces (2006)Mobility Detection Using Ever…Estimating Population Density Without Contravening Citizen’s Privacy: Warsaw Use Case (2021)Estimating Population Density…Measuring serendipity (2009)Limits of Predictability in Human Mobility (2010)Trajectory reconstruction from mobile positioning data using cell-to-cell travel time information (2015)Cell phone big data to compute mobility scenarios for future smart cities (2017)Assessing veracity of big data: An in-depth evaluation process from the comparison of Mobile phone traces and groundtruth data in traffic monitoring (2024)Inferring High-Level Behavior from Low-Level Sensors (2003)Reality mining: sensing complex social systems (2005)Understanding and capturing people’s privacy policies in a mobile social networking application (2008)Mining Individual Life Pattern Based on Location History (2009)Discovering routines from large-scale human locations using probabilistic topic models (2011)The origin of bursts and heavy tails in human dynamics (2005)The scaling laws of human travel (2006)Friendship and mobility (2011)A universal model for mobility and migration patterns (2012)A Theoretical Foundation for the Gravity Equation. (1979)Understanding individual mobility patterns from urban sensing data: A mobile phone trace example (2012)A new insight into land use classification based on aggregated mobile phone data (2014)Development of origin–destination matrices using mobile phone call data (2014)Unravelling daily human mobility motifs (2013)Modeling User Activity Preference by Leveraging User Spatial Temporal Characteristics in LBSNs (2014)Sampling Methods in Research Methodology; How to Choose a Sampling Technique for Research (2016)A survey of results on mobile phone datasets analysis (2015)The promises of big data and small data for travel behavior (aka human mobility) analysis (2016)
this work references cited by second hop

References

  • 2008Understanding individual human mobility patterns6,071 cited
  • 2010Real-Time Urban Monitoring Using Cell Phones: A Case Study in Rome623 cited
  • 2011Estimating Origin-Destination Flows Using Mobile Phone Location Data511 cited
  • 2006Mobility Detection Using Everyday GSM Traces277 cited
  • 2012Steps towards the Extraction of Vehicular Mobility Patterns from 3G Signaling Data34 cited

Cited by

  • 2021Estimating Population Density Without Contravening Citizen’s Privacy: Warsaw Use Case5 cited

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