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A multi-scale attributes fusion model for travel mode identification using GPS trajectories
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A multi-scale attributes fusion model for travel mode identification using GPS trajectories (2024)A multi-scale attributes fusion model for…A Framework of Travel Mode Identification Fusing Deep Learning and Map-Matching Algorithm (2023)A Framework of Travel Mode Id…Trajectory-as-A-Sequence: A Novel Travel Mode Identification Framework (2022)Trajectory-as-A-Sequence: A N…Transportation mode identification with GPS trajectory data and GIS information (2021)Transportation mode identific…Review and evaluation of methods in transport mode detection based on GPS tracking data (2021)Review and evaluation of meth…GPS data-based mobility mode inference model using long-term recurrent convolutional networks (2021)GPS data-based mobility mode …Travel Mode Identification With GPS Trajectories Using Wavelet Transform and Deep Learning (2020)Travel Mode Identification Wi…Transportation Mode Recognition With Deep Forest Based on GPS Data (2020)Transportation Mode Recogniti…Semi-Supervised Deep Learning Approach for Transportation Mode Identification Using GPS Trajectory Data (2019)Semi-Supervised Deep Learning…Detecting travel modes from smartphone-based travel surveys with continuous hidden Markov models (2019)Detecting travel modes from s…Inferring transportation modes from GPS trajectories using a convolutional neural network (2017)Inferring transportation mode…Review of GPS Travel Survey and GPS Data-Processing Methods (2014)Review of GPS Travel Survey a…Deriving Personal Trip Data from GPS Data: A Literature Review on the Existing Methodologies (2014)Deriving Personal Trip Data f…Understanding mobility based on GPS data (2008)Understanding mobility based …Enhanced System for Link and Mode Identification for Personal Travel Surveys Based on Global Positioning Systems (2006)Enhanced System for Link and …Processing GPS data from travel surveys (2005)Processing GPS data from trav…Inferring High-Level Behavior from Low-Level Sensors (2003)Inferring High-Level Behavior…Deriving and validating trip purposes and travel modes for multi-day GPS-based travel surveys: A large-scale application in the Netherlands (2009)Transportation mode detection using mobile phones and GIS information (2011)Where do cyclists ride? A route choice model developed with revealed preference GPS data (2012)Big Data and Cycling (2015)Applying mobile phone data to travel behaviour research: A literature review (2017)Transport mode detection based on mobile phone network data: A systematic review (2019)Learning transportation mode from raw gps data for geographic applications on the web (2008)Identification of activity stop locations in GPS trajectories by density-based clustering method combined with support vector machines (2015)Travel Mode Detection Using GPS Data and Socioeconomic Attributes Based on a Random Forest Classifier (2017)Modeling intra-destination travel behavior of tourists through spatio-temporal analysis (2018)Elimination of the Travel Diary: Experiment to Derive Trip Purpose from Global Positioning System Travel Data (2001)An automated GPS-based prompted recall survey with learning algorithms (2009)Travel mode detection based on GPS track data and Bayesian networks (2015)Using GPS to learn significant locations and predict movement across multiple users (2003)Learning and inferring transportation routines (2007)Next place prediction using mobility Markov chains (2012)Understanding Human Mobility from Twitter (2015)Human mobility: Models and applications (2018)DIRECT AND INVERSE SOLUTIONS OF GEODESICS ON THE ELLIPSOID WITH APPLICATION OF NESTED EQUATIONS (1975)The station-free sharing bike demand forecasting with a deep learning approach and large-scale datasets (2018)Optimal Detection of Changepoints With a Linear Computational Cost (2012)Semi-supervised deep ensemble learning for travel mode identification (2020)Global Positioning System as Data Collection Method for Travel Research (2000)Assessing the accuracy of the Sydney Household Travel Survey with GPS (2007)Developing advanced route choice models for heavy goods vehicles using GPS data (2015)Developing a passive GPS tracking system to study long-term travel behavior (2019)Eigenbehaviors: identifying structure in routine (2009)Understanding transportation modes based on GPS data for web applications (2010)Application of Machine Learning to Child Mode Choice with a Novel Technique to Optimize Hyperparameters (2022)A novel one-stage approach for pointwise transportation mode identification inspired by point cloud processing (2023)
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References

  • 2008Understanding mobility based on GPS data1,131 cited
  • 2003Inferring High-Level Behavior from Low-Level Sensors521 cited
  • 2017Inferring transportation modes from GPS trajectories using a convolutional neural network404 cited
  • 2014Review of GPS Travel Survey and GPS Data-Processing Methods350 cited
  • 2006Enhanced System for Link and Mode Identification for Personal Travel Surveys Based on Global Positioning Systems165 cited
  • 2014Deriving Personal Trip Data from GPS Data: A Literature Review on the Existing Methodologies162 cited
  • 2019Semi-Supervised Deep Learning Approach for Transportation Mode Identification Using GPS Trajectory Data156 cited
  • 2005Processing GPS data from travel surveys92 cited
  • 2020Travel Mode Identification With GPS Trajectories Using Wavelet Transform and Deep Learning87 cited
  • 2021Transportation mode identification with GPS trajectory data and GIS information87 cited
  • 2021Review and evaluation of methods in transport mode detection based on GPS tracking data64 cited
  • 2022Trajectory-as-A-Sequence: A Novel Travel Mode Identification Framework44 cited
  • 2021GPS data-based mobility mode inference model using long-term recurrent convolutional networks39 cited
  • 2019Detecting travel modes from smartphone-based travel surveys with continuous hidden Markov models

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36 cited
  • 2020Transportation Mode Recognition With Deep Forest Based on GPS Data29 cited
  • 2023A Framework of Travel Mode Identification Fusing Deep Learning and Map-Matching Algorithm28 cited
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