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Mobility Prediction Using Markov Models: A Survey
16 references·0 citing·48 second hop
Mobility Prediction Using Markov Models: A Survey (2024)Mobility Prediction Using Markov Models: …Individual Mobility Prediction: An Interpretable Activity-based Hidden Markov Approach (2021)Individual Mobility Predictio…Individual Mobility Prediction in Mass Transit Systems Using Smart Card Data: An Interpretable Activity-Based Hidden Markov Approach (2021)Individual Mobility Predictio…A Spherical Hidden Markov Model for Semantics-Rich Human Mobility Modeling (2018)A Spherical Hidden Markov Mod…IS2Fun: Identification of Subway Station Functions Using Massive Urban Data (2017)IS2Fun: Identification of Sub…Human Mobility-Pattern Discovery and Next-Place Prediction from GPS Data (2017)Human Mobility-Pattern Discov…Human mobility prediction from region functions with taxi trajectories (2017)Human mobility prediction fro…Efficient Fine-Grained Location Prediction Based on User Mobility Pattern in LBSNs (2017)Efficient Fine-Grained Locati…A hybrid Markov-based model for human mobility prediction (2017)A hybrid Markov-based model f…A Generative Model of Urban Activities from Cellular Data (2017)A Generative Model of Urban A…The promises of big data and small data for travel behavior (aka human mobility) analysis (2016)The promises of big data and …Big Data Driven Hidden Markov Model Based Individual Mobility Prediction at Points of Interest (2016)Big Data Driven Hidden Markov…Analysis of human mobility patterns from GPS trajectories and contextual information (2015)Analysis of human mobility pa…Learning and user adaptation in location forecasting (2013)Learning and user adaptation …Next place prediction using mobility Markov chains (2012)Next place prediction using m…Mining Individual Life Pattern Based on Location History (2009)Mining Individual Life Patter…Using GPS to learn significant locations and predict movement across multiple users (2003)Using GPS to learn significan…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 Museum Wearable: real-time sensor-driven understanding of visitors' interests for personalized visually-augmented museum experiences (2002)Inferring High-Level Behavior from Low-Level Sensors (2003)Predestination: Inferring Destinations from Partial Trajectories (2006)Learning and inferring transportation routines (2007)What's Your Next Move: User Activity Prediction in Location-based Social Networks (2013)Spatio-Temporal Analysis of Passenger Travel Patterns in Massive Smart Card Data (2017)A Space for Place in Sociology (2000)Travel and the Built Environment (2010)Towards a comprehensive set of GPS-based indicators reflecting the multidimensional nature of daily mobility for applications in health and aging research (2019)Towards an integrated science of movement: converging research on animal movement ecology and human mobility science (2019)Urban function classification at road segment level using taxi trajectory data: A graph convolutional neural network approach (2021)Prospect Theory: An Analysis of Decision under Risk (1979)Prospect theory: An analysis of decision under risk (1988)The theory of planned behavior (1991)Applying mobile phone data to travel behaviour research: A literature review (2017)Coupling mobile phone and social media data: a new approach to understanding urban functions and diurnal patterns (2017)Big data and analytics in hospitality and tourism: a systematic literature review (2021)Identifying Important Places in People’s Lives from Cellular Network Data (2011)A Survey on Machine Learning‐Based Mobile Big Data Analysis: Challenges and Applications (2018)Revealing latent characteristics of mobility networks with coarse-graining (2019)Big Data in Forecasting Research: A Literature Review (2021)Understanding individual human mobility patterns (2008)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)The scaling laws of human travel (2006)Modelling the scaling properties of human mobility (2010)Mobility Prediction Using a Weighted Markov Model Based on Mobile User Classification (2021)Spatio-Temporal Urban Knowledge Graph Enabled Mobility Prediction (2021)Beyond The Limits of Predictability in Human Mobility Prediction: Context-Transition Predictability (2022)Discovering Urban Functional Zones Using Latent Activity Trajectories (2014)Passenger Segmentation Using Smart Card Data (2014)Bicycle-metro integration in a growing city: The determinants of cycling as a transfer mode in metro station areas in Beijing (2017)Spatial Analysis of Bikeshare Ridership With Smart Card and POI Data Using Geographically Weighted Regression Method (2018)Considering context and dynamics: A classification of transit-orientated development for New York City (2020)Machine learning approach for study on subway passenger flow (2022)Reality mining: sensing complex social systems (2005)Predicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts (2016)DeepMove (2018)A Multi-Context Aware Human Mobility Prediction Model Based on Motif-Preserving Travel Preference Learning (2023)Context-aware multi-head self-attentional neural network model for next location prediction (2023)LingoTrip: Spatiotemporal context prompt driven large language model for individual trip prediction (2025)
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References

  • 2003Using GPS to learn significant locations and predict movement across multiple users1,060 cited
  • 2016The promises of big data and small data for travel behavior (aka human mobility) analysis580 cited
  • 2012Next place prediction using mobility Markov chains555 cited
  • 2009Mining Individual Life Pattern Based on Location History281 cited
  • 2015Analysis of human mobility patterns from GPS trajectories and contextual information275 cited
  • 2017A Generative Model of Urban Activities from Cellular Data185 cited
  • 2016Big Data Driven Hidden Markov Model Based Individual Mobility Prediction at Points of Interest145 cited
  • 2017A hybrid Markov-based model for human mobility prediction91 cited
  • 2017IS2Fun: Identification of Subway Station Functions Using Massive Urban Data52 cited
  • 2021Individual Mobility Prediction in Mass Transit Systems Using Smart Card Data: An Interpretable Activity-Based Hidden Markov Approach49 cited
  • 2017Human Mobility-Pattern Discovery and Next-Place Prediction from GPS Data23 cited
  • 2013Learning and user adaptation in location forecasting22 cited
  • 2017Human mobility prediction from region functions with taxi trajectories20 cited
  • 2018A Spherical Hidden Markov Model for Semantics-Rich Human Mobility Modeling15 cited

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  • 2017Efficient Fine-Grained Location Prediction Based on User Mobility Pattern in LBSNs15 cited
  • 2021Individual Mobility Prediction: An Interpretable Activity-based Hidden Markov Approach11 cited
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