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Mobile Positioning and Trajectory Reconstruction Based on Mobile Phone Network Data: A Tentative Using Particle Filter
8 references·0 citing·44 second hopsampled
Mobile Positioning and Trajectory Reconstruction Based on Mobile Phone Network Data: A Tentative Using Particle Filter (2021)Mobile Positioning and Trajectory Reconst…From cellular positioning data to trajectories: Steps towards a more accurate mobility exploration (2020)From cellular positioning dat…Complete trajectory reconstruction from sparse mobile phone data (2019)Complete trajectory reconstru…Human mobility: Models and applications (2018)Human mobility: Models and ap…A new approach for mobile positioning using the CDR data of cellular networks (2017)A new approach for mobile pos…Trajectory reconstruction from mobile positioning data using cell-to-cell travel time information (2015)Trajectory reconstruction fro…Mobility Viewer: An Eulerian Approach for Studying Urban Crowd Flow (2015)Mobility Viewer: An Eulerian …Estimating human trajectories and hotspots through mobile phone data (2014)Estimating human trajectories…Using Mobile Positioning Data to Model Locations Meaningful to Users of Mobile Phones (2010)Using Mobile Positioning Data…Estimating Origin-Destination Flows Using Mobile Phone Location Data (2011)Understanding individual mobility patterns from urban sensing data: A mobile phone trace example (2012)Development of origin–destination matrices using mobile phone call data (2014)Big data‐enabled social sensing in spatial analysis: Potentials and pitfalls (2018)Identifying stops from mobile phone location data by introducing uncertain segments (2018)Quantifying and Characterizing Urban Leisure Activities by Merging Multiple Sensing Big Data: A Case Study of Nanjing, China (2021)WHAT ABOUT PEOPLE IN REGIONAL SCIENCE? (1970)Scripts, plans, goals, and understanding : an inquiry into human knowledge structures. By Roger C. Schank and Robert P. Abelson. Hillsdale, NJ: Lawrence Erlbaum Associates, 1977. Pp. 248. (1978)The New Mobilities Paradigm (2006)Beyond Space (As We Knew It): Toward Temporally Integrated Geographies of Segregation, Health, and Accessibility (2013)Urban Sensing Using Mobile Phone Network Data: A Survey of Research (2014)On data processing required to derive mobility patterns from passively-generated mobile phone data (2017)What about people in Regional Science? (1970)Understanding individual human mobility patterns (2008)Data from mobile phone operators: A tool for smarter cities? (2014)Traffic zone division based on big data from mobile phone base stations (2015)Urban magnetism through the lens of geo-tagged photography (2015)Limits of Predictability in Human Mobility (2010)Discovering Spatial Interaction Communities from Mobile Phone D ata (2013)Coupling human mobility and social ties (2015)Spatial–temporal visualization of city-wide crowd movement (2016)Adaptively Exploring Population Mobility Patterns in Flow Visualization (2017)Pareto-Optimal Transit Route Planning With Multi-Objective Monte-Carlo Tree Search (2020)Measures of Human Mobility Using Mobile Phone Records Enhanced with GIS Data (2015)The path most traveled: Travel demand estimation using big data resources (2015)Activity-Based Human Mobility Patterns Inferred from Mobile Phone Data: A Case Study of Singapore (2016)Spatio-temporal mobility analysis for community detection in the mobile networks using CDR data (2017)Bus passenger counts using Wi-Fi signals: some cautionary findings (2019)A Survey on the Advancement of Travel Time Estimation Using Mobile Phone Network Data (2021)Power-Law Distributions in Empirical Data (2009)Power-law distributions in empirical data (2018)The scales of human mobility (2020)The universal visitation law of human mobility (2021)A survey on deep learning for human mobility (2023)A survey of results on mobile phone datasets analysis (2015)Green travel mobility of dockless bike-sharing based on trip data in big cities: A spatial network analysis (2021)Prediction of human activity intensity using the interactions in physical and social spaces through graph convolutional networks (2021)TRANSIT: Fine-grained human mobility trajectory inference at scale with mobile network signaling data (2021)The P 1 P 2 D Hypothesis: On the Intercity Movement of Persons (1946)Modelling accessibility using space-time prism concepts within geographical information systems (1991)Mobile Landscapes: Using Location Data from Cell Phones for Urban Analysis (2006)Revealing correlation patterns of individual location activity motifs between workdays and day-offs using massive mobile phone data (2021)Functional regions as a platform to define integrated transport system zones: The use of population flows data (2022)From cell tower location to user location: Understanding the spatial uncertainty of mobile phone network data in human mobility research (2024)
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References

  • 2018Human mobility: Models and applications1,032 cited
  • 2010Using Mobile Positioning Data to Model Locations Meaningful to Users of Mobile Phones393 cited
  • 2014Estimating human trajectories and hotspots through mobile phone data212 cited
  • 2019Complete trajectory reconstruction from sparse mobile phone data70 cited
  • 2020From cellular positioning data to trajectories: Steps towards a more accurate mobility exploration53 cited
  • 2015Mobility Viewer: An Eulerian Approach for Studying Urban Crowd Flow51 cited
  • 2015Trajectory reconstruction from mobile positioning data using cell-to-cell travel time information33 cited
  • 2017A new approach for mobile positioning using the CDR data of cellular networks22 cited

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