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An Efficient Surface Map Creation and Tracking Using Smartphone Sensors and Crowdsourcing
5 references·0 citing·25 second hop
An Efficient Surface Map Creation and Tracking Using Smartphone Sensors and Crowdsourcing (2021)An Efficient Surface Map Creation and Tra…Analysis of Spatial and Temporal Characteristics of Citizens’ Mobility Based on E-Bike GPS Trajectory Data in Tengzhou City, China (2019)Analysis of Spatial and Tempo…A Smartphone-Based System for Outdoor Data Gathering Using a Wireless Beacon Network and GPS Data: From Cyber Spaces to Senseable Spaces (2018)A Smartphone-Based System for…Geographic Information System (2017)Geographic Information SystemAutomatically characterizing places with opportunistic crowdsensing using smartphones (2012)Automatically characterizing …EasyTracker (2011)EasyTrackerDynamic Bus Arrival Time Prediction with Artificial Neural Networks (2002)Crowd Density Estimation for Public Transport Vehicles (2014)An Adaptive Long-Term Bus Arrival Time Prediction Model with Cyclic Variations (2015)A predictive-control framework to address bus bunching (2017)Using GPS to learn significant locations and predict movement across multiple users (2003)Analysis methods for extracting knowledge from large-scale WiFi monitoring to inform building facility planning (2014)Behavior vs. introspection: refining prediction of clinical depression via smartphone sensing data (2016)Joint Modeling of Heterogeneous Sensing Data for Depression Assessment via Multi-task Learning (2018)An Empirical Study of Geographic User Activity Patterns in Foursquare (2021)Mobile Landscapes: Using Location Data from Cell Phones for Urban Analysis (2006)Digital Footprinting: Uncovering Tourists with User-Generated Content (2008)Data Preprocessing in Data Mining (2014)Identifying the use of a park based on clusters of visitors' movements from mobile phone data (2019)Understanding Bike-Sharing Systems using Data Mining: Exploring Activity Patterns (2011)Analysis of human mobility patterns from GPS trajectories and contextual information (2015)The station-free sharing bike demand forecasting with a deep learning approach and large-scale datasets (2018)Analysis of Key Commuting Routes Based on Spatiotemporal Trip Chain (2022)A review of travel behavioural pattern using GPS dataset: A systematic literature review (2024)Exploring Travel Mobility in Integrated Usage of Dockless Bike-Sharing and the Metro Based on Multisource Data (2024)Geographic information systems and cartographic modeling (1990)How Good is Volunteered Geographical Information? A Comparative Study of OpenStreetMap and Ordnance Survey Datasets (2010)The convergence of GIS and social media: challenges for GIScience (2011)Measuring the Spatial Relationship Information of Multi-Layered Vector Data (2018)The Importance of the Coordinate Transformation Process in Using Heterogeneous Data in Coastal and Marine Geographic Information System (2020)A Survey of GIS and IoT Integration: Applications and Architecture (2021)
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References

  • 2012Automatically characterizing places with opportunistic crowdsensing using smartphones272 cited
  • 2011EasyTracker182 cited
  • 2017Geographic Information System71 cited
  • 2019Analysis of Spatial and Temporal Characteristics of Citizens’ Mobility Based on E-Bike GPS Trajectory Data in Tengzhou City, China26 cited
  • 2018A Smartphone-Based System for Outdoor Data Gathering Using a Wireless Beacon Network and GPS Data: From Cyber Spaces to Senseable Spaces16 cited

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