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Jyotish: A novel framework for constructing predictive model of people movement from joint Wifi/Bluetooth trace
2 references·16 citing·43 second hop
Jyotish: A novel framework for constructing predictive model of people movement from joint Wifi/Bluetooth trace (2011)Jyotish: A novel framework for constructi…Mobility profiler: A framework for discovering mobility profiles of cell phone users (2010)Mobility profiler: A framewor…Understanding individual human mobility patterns (2008)Understanding individual huma…Survey of Automated Fare Collection Solutions in Public Transportation (2022)Survey of Automated Fare Coll…A hybrid model for high spatial and temporal resolution population distribution prediction (2022)A hybrid model for high spati…Joint Modelling of Cyber Activities and Physical Context to Improve Prediction of Visitor Behaviors (2020)Joint Modelling of Cyber Acti…Discovering Individual Life Style From Anonymized WiFi Scan Lists on Smartphones (2019)Discovering Individual Life S…Alighting stop determination using two-step algorithms in bus transit systems (2019)Alighting stop determination …Calibrating spatial interaction models from GPS tracking data: An example of retail behaviour (2018)Calibrating spatial interacti…Characterizing a user from large-scale smartphone-sensed data (2017)Characterizing a user from la…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 direct…Crowd location forecasting at points of interest (2015)Crowd location forecasting at…Spatio-temporal facility utilization analysis from exhaustive WiFi monitoring (2014)Spatio-temporal facility util…Characterizing mobility patterns of people in developing countries using their mobile phone data (2014)Characterizing mobility patte…Characterizing and modeling people movement from mobile phone sensing traces (2014)Characterizing and modeling p…Learning and user adaptation in location forecasting (2013)Learning and user adaptation …A survey on predicting personal mobility (2012)A survey on predicting person…Predicting Future Locations and Arrival Times of Individuals (2011)Predicting Future Locations a…Jyotish: Constructive approach for context predictions of people movement from joint Wifi/Bluetooth trace (2011)Jyotish: Constructive approac…The origin of bursts and heavy tails in human dynamics (2005)The scaling laws of human travel (2006)A universal model for mobility and migration patterns (2012)Using GPS to learn significant locations and predict movement across multiple users (2003)Eigenbehaviors: identifying structure in routine (2009)Limits of Predictability in Human Mobility (2010)ARCS-Assisted Teaching Robots Based on Anticipatory Computing and Emotional Big Data for Improving Sustainable Learning Efficiency and Motivation (2020)Deep Learning for Human Mobility: a Survey on Data and Models. 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this work references cited by second hop

References

  • 2008Understanding individual human mobility patterns6,071 cited
  • 2010Mobility profiler: A framework for discovering mobility profiles of cell phone users101 cited

Cited by

  • 2014Spatio-temporal facility utilization analysis from exhaustive WiFi monitoring37 cited
  • 2014Characterizing and modeling people movement from mobile phone sensing traces37 cited
  • 2019Alighting stop determination using two-step algorithms in bus transit systems35 cited
  • 2011Jyotish: Constructive approach for context predictions of people movement from joint Wifi/Bluetooth trace30 cited
  • 2022Survey of Automated Fare Collection Solutions in Public Transportation29 cited
  • 2018Calibrating spatial interaction models from GPS tracking data: An example of retail behaviour27 cited
  • 2012A survey on predicting personal mobility27 cited
  • 2011Predicting Future Locations and Arrival Times of Individuals27 cited
  • 2013Learning and user adaptation in location forecasting22 cited
  • 2022A hybrid model for high spatial and temporal resolution population distribution prediction10 cited
  • 2015Crowd location forecasting at points of interest10 cited
  • 2014Characterizing mobility patterns of people in developing countries using their mobile phone data10 cited

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  • 2015Estimation of mobility direction of a people flux by using a live 3G radio access network and smartphones in non-connected mode9 cited
  • 2020Joint Modelling of Cyber Activities and Physical Context to Improve Prediction of Visitor Behaviors7 cited
  • 2017Characterizing a user from large-scale smartphone-sensed data6 cited
  • 2019Discovering Individual Life Style From Anonymized WiFi Scan Lists on Smartphones6 cited