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Individual Mobility Prediction via Attentive Marked Temporal Point Processes
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Individual Mobility Prediction via Attentive Marked Temporal Point Processes (2021)Individual Mobility Prediction via Attent…Individual Mobility Prediction: An Interpretable Activity-based Hidden Markov Approach (2021)Individual Mobility Predictio…Urban Human Mobility (2019)Urban Human MobilityIndividual mobility prediction using transit smart card data (2018)Individual mobility predictio…DeepMove (2018)DeepMoveMeasuring Regularity of Individual Travel Patterns (2017)Measuring Regularity of Indiv…A Generative Model of Urban Activities from Cellular Data (2017)A Generative Model of Urban A…Understanding metropolitan patterns of daily encounters (2013)Understanding metropolitan pa…Next place prediction using mobility Markov chains (2012)Next place prediction using m…Understanding individual human mobility patterns (2008)Understanding individual huma…Understanding mobility based on GPS data (2008)Limits of Predictability in Human Mobility (2010)Predicting future locations with hidden Markov models (2012)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)The scaling laws of human travel (2006)A universal model for mobility and migration patterns (2012)Five Rules for the Evolution of Cooperation (2006)Spatio-Temporal Analysis of Passenger Travel Patterns in Massive Smart Card Data (2017)Tracking job and housing dynamics with smartcard data (2018)Understanding traffic capacity of urban networks (2019)Friendship and mobility (2011)Transport modelling in the age of big data (2017)Learning to Simulate Human Mobility (2020)Rethinking Behaviors and Activities of Base Stations in Mobile Cellular Networks Based on Big Data Analysis (2020)Activity-based disaggregate travel demand model system with activity schedules (2001)Reality mining: sensing complex social systems (2005)Analysis and Prediction of Regional Mobility Patterns of Bus Travellers Using Smart Card Data and Points of Interest Data (2018)Exploring Individual Travel Patterns Across Private Car Trajectory Data (2019)A hierarchical temporal attention-based LSTM encoder-decoder model for individual mobility prediction (2020)Speech and language processing (2010)Emerging Big Data Sources for Public Transport Planning: A Systematic Review on Current State of Art and Future Research Directions (2019)Discovering latent activity patterns from transit smart card data: A spatiotemporal topic model (2020)Predicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts (2016)Inferring spatial–temporal attributes of vehicle itinerary with Automatic Vehicle Identification data: Methodology and application (2024)Mobility Prediction Using Markov Models: A Survey (2024)Predicting Human Mobility via Variational Attention (2019)A survey on deep learning for human mobility (2023)Mobility Prediction Using a Weighted Markov Model Based on Mobile User Classification (2021)scikit-mobility : A Python Library for the Analysis, Generation, and Risk Assessment of Mobility Data (2022)Zooming into mobility to understand cities: A review of mobility-driven urban studies (2022)
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References

  • 2008Understanding individual human mobility patterns6,071 cited
  • 2018DeepMove714 cited
  • 2012Next place prediction using mobility Markov chains555 cited
  • 2013Understanding metropolitan patterns of daily encounters233 cited
  • 2017A Generative Model of Urban Activities from Cellular Data185 cited
  • 2018Individual mobility prediction using transit smart card data140 cited
  • 2017Measuring Regularity of Individual Travel Patterns122 cited
  • 2019Urban Human Mobility111 cited
  • 2021Individual Mobility Prediction: An Interpretable Activity-based Hidden Markov Approach11 cited

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