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Unsupervised Deep Learning for GPS-Based Transportation Mode Identification
6 references·8 citing·30 second hop
Unsupervised Deep Learning for GPS-Based Transportation Mode Identification (2020)Unsupervised Deep Learning for GPS-Based …Semi-Supervised Deep Learning Approach for Transportation Mode Identification Using GPS Trajectory Data (2019)Semi-Supervised Deep Learning…Transportation mode detection – an in-depth review of applicability and reliability (2016)Transportation mode detection…Travel mode detection based on GPS track data and Bayesian networks (2015)Travel mode detection based o…Transportation mode detection using mobile phones and GIS information (2011)Transportation mode detection…Understanding mobility based on GPS data (2008)Understanding mobility based …Learning transportation mode from raw gps data for geographic applications on the web (2008)Learning transportation mode …Generalizable Journey Mode Detection Using Unsupervised Representation Learning (2024)Generalizable Journey Mode De…A deep learning approach for transportation mode identification using a transformation of GPS trajectory data features into an image representation (2024)A deep learning approach for …Evaluating geospatial context information for travel mode detection (2023)Evaluating geospatial context…Inferencing transportation mode using unsupervised deep learning approach exploiting GPS point-level characteristics (2022)Inferencing transportation mo…Cluster Analysis of Day-to-Day Traffic Data in Networks (2022)Cluster Analysis of Day-to-Da…A Deep Semi-Supervised Machine Learning Algorithm for Detecting Transportation Modes Based on Gps Tracking Data (2022)A Deep Semi-Supervised Machin…Transportation Mode Detection from GPS data: A Data Science Benchmark study (2021)Transportation Mode Detection…Improving Transportation Mode Identification with Limited GPS Trajectories (2021)Improving Transportation Mode…Learning and inferring transportation routines (2007)Review of GPS Travel Survey and GPS Data-Processing Methods (2014)Applying mobile phone data to travel behaviour research: A literature review (2017)Inferring transportation modes from GPS trajectories using a convolutional neural network (2017)Using GPS to learn significant locations and predict movement across multiple users (2003)Next place prediction using mobility Markov chains (2012)Understanding Human Mobility from Twitter (2015)Human mobility: Models and applications (2018)Inferring High-Level Behavior from Low-Level Sensors (2003)WHAT ABOUT PEOPLE IN REGIONAL SCIENCE? (1970)OpenStreetMap: User-Generated Street Maps (2008)Inferring fine-grained transport modes from mobile phone cellular signaling data (2019)Emerging data for pedestrian and bicycle monitoring: Sources and applications (2020)Travel Mode Identification With GPS Trajectories Using Wavelet Transform and Deep Learning (2020)DIRECT AND INVERSE SOLUTIONS OF GEODESICS ON THE ELLIPSOID WITH APPLICATION OF NESTED EQUATIONS (1975)Optimal Detection of Changepoints With a Linear Computational Cost (2012)Semi-supervised deep ensemble learning for travel mode identification (2020)Review and evaluation of methods in transport mode detection based on GPS tracking data (2021)Trajectory-as-A-Sequence: A Novel Travel Mode Identification Framework (2022)On Stochastic Models of Traffic Assignment (1977)Some developments in equilibrium traffic assignment (1980)A Reliability-Based Stochastic Traffic Assignment Model for Network with Multiple User Classes under Uncertainty in Demand (2006)Understanding transportation modes based on GPS data for web applications (2010)From biases to opportunities: leveraging Location-Based-Service (LBS) data for next-generation transportation planning (2025)Conditional logit analysis of qualitative choice behavior (1972)Deriving and validating trip purposes and travel modes for multi-day GPS-based travel surveys: A large-scale application in the Netherlands (2009)A Survey of Digital Map Processing Techniques (2014)Travel Mode Detection Based on GPS Raw Data Collected by Smartphones: A Systematic Review of the Existing Methodologies (2016)Smartphones as an integrated platform for monitoring driver behaviour: The role of sensor fusion and connectivity (2018)Transportation mode identification with GPS trajectory data and GIS information (2021)
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References

  • 2008Understanding mobility based on GPS data1,131 cited
  • 2008Learning transportation mode from raw gps data for geographic applications on the web616 cited
  • 2011Transportation mode detection using mobile phones and GIS information451 cited
  • 2019Semi-Supervised Deep Learning Approach for Transportation Mode Identification Using GPS Trajectory Data156 cited
  • 2015Travel mode detection based on GPS track data and Bayesian networks154 cited
  • 2016Transportation mode detection – an in-depth review of applicability and reliability97 cited

Cited by

  • 2022A Deep Semi-Supervised Machine Learning Algorithm for Detecting Transportation Modes Based on Gps Tracking Data20 cited
  • 2022Cluster Analysis of Day-to-Day Traffic Data in Networks19 cited
  • 2021Improving Transportation Mode Identification with Limited GPS Trajectories15 cited
  • 2024A deep learning approach for transportation mode identification using a transformation of GPS trajectory data features into an image representation13 cited
  • 2023Evaluating geospatial context information for travel mode detection11 cited
  • 2022Inferencing transportation mode using unsupervised deep learning approach exploiting GPS point-level characteristics9 cited
  • 2021Transportation Mode Detection from GPS data: A Data Science Benchmark study9 cited
  • 2024

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Generalizable Journey Mode Detection Using Unsupervised Representation Learning
7 cited