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Pedestrians Complex Behavior Understanding and Prediction with Hybrid Markov Chain
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Pedestrians Complex Behavior Understanding and Prediction with Hybrid Markov Chain (2018)Pedestrians Complex Behavior Understandin…Mobile crowd location prediction with hybrid features using ensemble learning (2018)Mobile crowd location predict…Next place prediction in unfamiliar places considering contextual factors (2017)Next place prediction in unfa…A hybrid Markov-based model for human mobility prediction (2017)A hybrid Markov-based model f…Population estimation from mobile network traffic metadata (2016)Population estimation from mo…Big data: From beginning to future (2016)Big data: From beginning to f…Constructing and Comparing User Mobility Profiles (2014)Constructing and Comparing Us…Discovering human places of interest from multimodal mobile phone data (2010)Discovering human places of i…Pedestrians Trajectory Prediction in Urban Environments (2019)Pedestrians Trajectory Predic…Using GPS to learn significant locations and predict movement across multiple users (2003)Learning transportation mode from raw gps data for geographic applications on the web (2008)Understanding mobility based on GPS data (2008)From big smartphone data to worldwide research: The Mobile Data Challenge (2013)Exploring the potential of mobile phone records and online route planners for dynamic accessibility analysis (2018)A Characterization of the COVID-19 Pandemic Impact on a Mobile Network Operator Traffic (2020)Modelling the scaling properties of human mobility (2010)On the semantic annotation of places in location-based social networks (2011)A habit mining approach for discovering similar mobile users (2012)Distance and Friendship: A Distance-Based Model for Link Prediction in Social Networks (2015)Inferring Friendship from Check-in Data of Location-Based Social Networks (2015)From Footprint to Evidence (2016)Mobile Landscapes: Using Location Data from Cell Phones for Urban Analysis (2006)Limits of Predictability in Human Mobility (2010)Dynamic population mapping using mobile phone data (2014)Open PFLOW: Creation and evaluation of an open dataset for typical people mass movement in urban areas (2017)Computational socioeconomics (2019)Comparing Deep Learning and Statistical Methods in Forecasting Crowd Distribution from Aggregated Mobile Phone Data (2020)Sociological Paradigms and Organizational Analysis. (1983)Big Data : The Management Revolution (2013)Beyond the hype: Big data concepts, methods, and analytics (2014)The value of online surveys: a look back and a look ahead (2018)Big Data for Creating and Capturing Value in the Digitalized Environment: Unpacking the Effects of Volume, Variety, and Veracity on Firm Performance* (2020)Applications of big data in emerging management disciplines: A literature review using text mining (2021)Stacked Regressions (1996)Mobile Users Location Prediction with Complex Behavior Understanding (2018)Artificial Intelligence and Metaheuristic-Based Location-Based Advertising (2022)Predicting the impact of public events and mobility in Smart Cities (2024)The scaling laws of human travel (2006)Understanding individual human mobility patterns (2008)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)Friendship and mobility (2011)Tourist Transition Model among Tourist Attractions based on GPS Trajectory (2021)Learning significant locations and predicting user movement with GPS (2003)The Mobile Data Challenge: Big Data for Mobile Computing Research (2012)Mining temporal patterns of transport behaviour for predicting future transport usage (2013)
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References

  • 2016Big data: From beginning to future410 cited
  • 2010Discovering human places of interest from multimodal mobile phone data121 cited
  • 2017A hybrid Markov-based model for human mobility prediction91 cited
  • 2014Constructing and Comparing User Mobility Profiles45 cited
  • 2016Population estimation from mobile network traffic metadata44 cited
  • 2018Mobile crowd location prediction with hybrid features using ensemble learning30 cited
  • 2017Next place prediction in unfamiliar places considering contextual factors9 cited

Cited by

  • 2019Pedestrians Trajectory Prediction in Urban Environments4 cited

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