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Trip reconstruction and transportation mode extraction on low data rate GPS data from mobile phone

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References

2008Understanding mobility based on GPS data1,152 cited
2003Using GPS to learn significant locations and predict movement across multiple users1,063 cited
2008Learning transportation mode from raw gps data for geographic applications on the web617 cited
2010Understanding transportation modes based on GPS data for web applications487 cited
2011Transportation mode detection using mobile phones and GIS information458 cited
2007Discovering personally meaningful places212 cited
2005A Trip Reconstruction Tool for GPS-based Personal Travel Surveys161 cited

Cited by

2020Intercity Simulation of Human Mobility at Rare Events via Reinforcement Learning18 cited
2019Individual Travel Transportation Modes Identification Based on Deep Learning Algorithm of Attention Mechanism7 cited
2014Automatic trip-separation method using sensor data continuously collected by smartphone6 cited
2015Optimizing Leisure Travel: Is BigData Ready to Improve the Joint Leisure Activities Efficiency?4 cited
2017Human Mobility Analysis for Extracting Local Interactions under Rapid Socio-Economic Transformation in Dawei, Myanmar4 cited
2016Trip-Extraction Method Based on Characteristics of Sensors and Human-Travel Behavior for Sensor-Based Travel Survey4 cited
2014Sensor-based trip-separation method based on ergodic HMM

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3 cited

2025Transit Ridership in Toronto and COVID-19: Statistical and Spatial Analysis of Ridership Changes During the Pandemic2 cited

2022RAILDASH: A DASHBOARD SYSTEM TO ANALYZE EFFECTS OF EVENTS ON RAILWAY TRAFFIC USING BIG GPS DATA2 cited