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Predicting Users’ Mobility Using Monte Carlo Simulations
16 references·2 citing·30 second hop
Predicting Users’ Mobility Using Monte Carlo Simulations (2017)Predicting Users’ Mobility Using Monte Ca…Exploiting machine learning techniques for location recognition and prediction with smartphone logs (2015)Exploiting machine learning t…Explaining the power-law distribution of human mobility through transportationmodality decomposition (2015)Explaining the power-law dist…StudentLife (2014)StudentLifeThe Mobile Data Challenge: Big Data for Mobile Computing Research (2012)The Mobile Data Challenge: Bi…Predicting future locations with hidden Markov models (2012)Predicting future locations w…Next place prediction using mobility Markov chains (2012)Next place prediction using m…NextPlace: A Spatio-temporal Prediction Framework for Pervasive Systems (2011)NextPlace: A Spatio-temporal …Friendship and mobility (2011)Friendship and mobilityTowards rich mobile phone datasets: Lausanne data collection campaign (2010)Towards rich mobile phone dat…Limits of Predictability in Human Mobility (2010)Limits of Predictability in H…CRAWDAD dataset epfl/mobility (v. 2009-02-24) (2009)CRAWDAD dataset epfl/mobility…Understanding individual human mobility patterns (2008)Understanding individual huma…Advances in Knowledge Discovery and Data Mining (2007)Advances in Knowledge Discove…The scaling laws of human travel (2006)The scaling laws of human tra…Extracting places from traces of locations (2005)Extracting places from traces…Using GPS to learn significant locations and predict movement across multiple users (2003)Using GPS to learn significan…A Dynamic Neural Field Approach for Intelligent Cockpits: Online Learning and Prediction of Traveling Routines (2024)A Dynamic Neural Field Approa…Analysing Public Transport data through the use of Big Data tecnhologies for urban mobility (2019)Analysing Public Transport da…Inferring friendship network structure by using mobile phone data (2009)Find me if you can (2010)Measuring Large-Scale Social Networks with High Resolution (2014)A survey on deep learning for human mobility (2023)Understanding mobility based on GPS data (2008)Approaching the Limit of Predictability in Human Mobility (2013)Understanding Human Mobility from Twitter (2015)The origin of bursts and heavy tails in human dynamics (2005)A universal model for mobility and migration patterns (2012)Reality mining: sensing complex social systems (2005)Modelling the scaling properties of human mobility (2010)The Museum Wearable: real-time sensor-driven understanding of visitors' interests for personalized visually-augmented museum experiences (2002)Learning and inferring transportation routines (2007)Birds of a Feather: Homophily in Social Networks (2001)Power-Law Distributions in Empirical Data (2009)Modeling User Activity Preference by Leveraging User Spatial Temporal Characteristics in LBSNs (2014)Predicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts (2016)DeepMove (2018)Power-law distributions in empirical data (2018)A Global Measure of Perceived Stress (1983)Development and validation of brief measures of positive and negative affect: The PANAS scales. (1988)The PHQ-9 (2001)Mobile Phone Sensor Correlates of Depressive Symptom Severity in Daily-Life Behavior: An Exploratory Study (2015)Personal Sensing: Understanding Mental Health Using Ubiquitous Sensors and Machine Learning (2017)Mental Health and Behavior of College Students During the Early Phases of the COVID-19 Pandemic: Longitudinal Smartphone and Ecological Momentary Assessment Study (2020)Interdependence and predictability of human mobility and social interactions (2013)A comparative analysis of intra-city human mobility by taxi (2014)Big Data Driven Hidden Markov Model Based Individual Mobility Prediction at Points of Interest (2016)GMove (2016)Location Prediction over Sparse User Mobility Traces Using RNNs: Flashback in Hidden States! (2020)
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References

  • 2008Understanding individual human mobility patterns6,071 cited
  • 2010Limits of Predictability in Human Mobility3,230 cited
  • 2011Friendship and mobility2,912 cited
  • 2006The scaling laws of human travel2,207 cited
  • 2014StudentLife1,117 cited
  • 2003Using GPS to learn significant locations and predict movement across multiple users1,060 cited
  • 2012Next place prediction using mobility Markov chains555 cited
  • 2012The Mobile Data Challenge: Big Data for Mobile Computing Research429 cited
  • 2012Predicting future locations with hidden Markov models384 cited
  • 2009CRAWDAD dataset epfl/mobility (v. 2009-02-24)344 cited
  • 2010Towards rich mobile phone datasets: Lausanne data collection campaign278 cited
  • 2011NextPlace: A Spatio-temporal Prediction Framework for Pervasive Systems277 cited
  • 2005Extracting places from traces of locations186 cited
  • 2015Explaining the power-law distribution of human mobility through transportationmodality decomposition154 cited
  • 2007Advances in Knowledge Discovery and Data Mining113 cited
  • 2015Exploiting machine learning techniques for location recognition and prediction with smartphone logs

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79 cited

Cited by

  • 2019Analysing Public Transport data through the use of Big Data tecnhologies for urban mobility5 cited
  • 2024A Dynamic Neural Field Approach for Intelligent Cockpits: Online Learning and Prediction of Traveling Routines3 cited