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Inferencing transportation mode using unsupervised deep learning approach exploiting GPS point-level characteristics
16 references·0 citing·35 second hop
Inferencing transportation mode using unsupervised deep learning approach exploiting GPS point-level characteristics (2022)Inferencing transportation mode using uns…Evaluation of methods to distinguish trips from activities in walking and cycling GPS data (2022)Evaluation of methods to dist…Unsupervised Deep Learning for GPS-Based Transportation Mode Identification (2020)Unsupervised Deep Learning fo…Semi-supervised deep ensemble learning for travel mode identification (2020)Semi-supervised deep ensemble…Semi-Supervised Deep Learning Approach for Transportation Mode Identification Using GPS Trajectory Data (2019)Semi-Supervised Deep Learning…Inferring transportation modes from GPS trajectories using a convolutional neural network (2017)Inferring transportation mode…Evaluation of a transport mode detection using fuzzy rules (2017)Evaluation of a transport mod…Transportation mode detection – an in-depth review of applicability and reliability (2016)Transportation mode detection…Comparison of advanced imputation algorithms for detection of transportation mode and activity episode using GPS data (2016)Comparison of advanced imputa…Travel mode detection based on GPS track data and Bayesian networks (2015)Travel mode detection based o…Improved methods to deduct trip legs and mode from travel surveys using wearable GPS devices: A case study from the Greater Copenhagen area (2015)Improved methods to deduct tr…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 …Search for a global positioning system device to measure person travel (2007)Search for a global positioni…Basic GIS Coordinates (2004)Basic GIS CoordinatesInferring High-Level Behavior from Low-Level Sensors (2003)Inferring High-Level Behavior…Elimination of the Travel Diary: Experiment to Derive Trip Purpose from Global Positioning System Travel Data (2001)Evaluating the feasibility of a passive travel survey collection in a complex urban environment: Lessons learned from the New York City case study (2010)Using Geographic Information Systems (GIS) to assess the role of the built environment in influencing obesity: a glossary (2011)Transportation mode-based segmentation and classification of movement trajectories (2012)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)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)Deriving and validating trip purposes and travel modes for multi-day GPS-based travel surveys: A large-scale application in the Netherlands (2009)Processing Raw Data from Global Positioning Systems without Additional Information (2009)Transportation mode recognition using GPS and accelerometer data (2013)Who you are is how you travel: A framework for transportation mode detection using individual and environmental characteristics (2017)Detecting Travel Modes Using Rule-Based Classification System and Gaussian Process Classifier (2019)Estimating MFDs, trip lengths and path flow distributions in a multi-region setting using mobile phone data (2020)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)The station-free sharing bike demand forecasting with a deep learning approach and large-scale datasets (2018)Transport mode detection based on mobile phone network data: A systematic review (2019)Optimal Detection of Changepoints With a Linear Computational Cost (2012)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)Conditional logit analysis of qualitative choice behavior (1972)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)Eigenbehaviors: identifying structure in routine (2009)Understanding transportation modes based on GPS data for web applications (2010)
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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
  • 2003Inferring High-Level Behavior from Low-Level Sensors521 cited
  • 2011Transportation mode detection using mobile phones and GIS information451 cited
  • 2017Inferring transportation modes from GPS trajectories using a convolutional neural network404 cited
  • 2007Search for a global positioning system device to measure person travel246 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
  • 2016Comparison of advanced imputation algorithms for detection of transportation mode and activity episode using GPS data83 cited
  • 2015Improved methods to deduct trip legs and mode from travel surveys using wearable GPS devices: A case study from the Greater Copenhagen area75 cited
  • 2020Semi-supervised deep ensemble learning for travel mode identification69 cited
  • 2020Unsupervised Deep Learning for GPS-Based Transportation Mode Identification43 cited
  • 2004Basic GIS Coordinates32 cited

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  • 2022Evaluation of methods to distinguish trips from activities in walking and cycling GPS data24 cited
  • 2017Evaluation of a transport mode detection using fuzzy rules23 cited
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