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Estimation of mobility direction of a people flux by using a live 3G radio access network and smartphones in non-connected mode
7 references·3 citing·36 second hop
Estimation of mobility direction of a people flux by using a live 3G radio access network and smartphones in non-connected mode (2015)Estimation of mobility direction of a peo…Understanding individual mobility patterns from urban sensing data: A mobile phone trace example (2012)Understanding individual mobi…Human mobility modeling at metropolitan scales (2012)Human mobility modeling at me…Jyotish: A novel framework for constructing predictive model of people movement from joint Wifi/Bluetooth trace (2011)Jyotish: A novel framework fo…Identifying Important Places in People’s Lives from Cellular Network Data (2011)Identifying Important Places …The Geography of Taste: Analyzing Cell-Phone Mobility and Social Events (2010)The Geography of Taste: Analy…Real-Time Urban Monitoring Using Cell Phones: A Case Study in Rome (2010)Real-Time Urban Monitoring Us…Mobility Detection Using Everyday GSM Traces (2006)Mobility Detection Using Ever…Analysis of human mobility behavior in Smart Cities and Smart Environments: A systematic literature review and taxonomy (2024)Analysis of human mobility be…Individual mobility deep insight using mobile phones data (2023)Individual mobility deep insi…Prediction of Mobility Patterns in Smart Cities: A Systematic Review of the Literature (2020)Prediction of Mobility Patter…Reality mining: sensing complex social systems (2005)Mobile Landscapes: Using Location Data from Cell Phones for Urban Analysis (2006)Understanding individual human mobility patterns (2008)Activity-Aware Map: Identifying Human Daily Activity Pattern Using Mobile Phone Data (2010)A Tale of One City: Using Cellular Network Data for Urban Planning (2011)Inferring High-Level Behavior from Low-Level Sensors (2003)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)Using GPS to learn significant locations and predict movement across multiple users (2003)Limits of Predictability in Human Mobility (2010)The Mobile Data Challenge: Big Data for Mobile Computing Research (2012)Measuring Large-Scale Social Networks with High Resolution (2014)Urban Sensing Using Mobile Phone Network Data: A Survey of Research (2014)Examining the impacts of residential self-selection on travel behavior: A focus on methodologies (2007)Development of origin–destination matrices using mobile phone call data (2014)The universal visitation law of human mobility (2021)Mobility profiler: A framework for discovering mobility profiles of cell phone users (2010)Characterizing and modeling people movement from mobile phone sensing traces (2014)Spatio-temporal facility utilization analysis from exhaustive WiFi monitoring (2014)Alighting stop determination using two-step algorithms in bus transit systems (2019)A Tale of Many Cities: Universal Patterns in Human Urban Mobility (2012)Data from mobile phone operators: A tool for smarter cities? (2014)Mobility Modeling and Prediction in Bike-Sharing Systems (2016)Spatio-Temporal Analysis of Passenger Travel Patterns in Massive Smart Card Data (2017)Temporal decomposition and semantic \nenrichment of mobility flows (2013)Exploring Data Validity in Transportation Systems for Smart Cities (2017)The scaling laws of human travel (2006)Modelling the scaling properties of human mobility (2010)Dynamic Estimation of Travel Time Reliability for Road Network Using Trajectory Data (2025)From taxi GPS traces to social and community dynamics (2013)Personalized routing for multitudes in smart cities (2015)A Gamification Platform to Analyze and Influence Citizens’ Daily Transportation Choices (2021)Profile segmentation: Clustering approach based on behavioral patterns extracted from mobile phone data (2025)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

  • 2012Understanding individual mobility patterns from urban sensing data: A mobile phone trace example645 cited
  • 2010Real-Time Urban Monitoring Using Cell Phones: A Case Study in Rome623 cited
  • 2011Identifying Important Places in People’s Lives from Cellular Network Data401 cited
  • 2012Human mobility modeling at metropolitan scales295 cited
  • 2010The Geography of Taste: Analyzing Cell-Phone Mobility and Social Events280 cited
  • 2006Mobility Detection Using Everyday GSM Traces277 cited
  • 2011Jyotish: A novel framework for constructing predictive model of people movement from joint Wifi/Bluetooth trace71 cited

Cited by

  • 2024Analysis of human mobility behavior in Smart Cities and Smart Environments: A systematic literature review and taxonomy8 cited
  • 2023Individual mobility deep insight using mobile phones data7 cited
  • 2020Prediction of Mobility Patterns in Smart Cities: A Systematic Review of the Literature3 cited

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