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A Semisupervised End-to-End Framework for Transportation Mode Detection by Using GPS-Enabled Sensing Devices
10 references·4 citing·35 second hop
A Semisupervised End-to-End Framework for Transportation Mode Detection by Using GPS-Enabled Sensing Devices (2021)A Semisupervised End-to-End Framework for…Urban sensing based on mobile phone data: approaches, applications, and challenges (2020)Urban sensing based on mobile…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…Who you are is how you travel: A framework for transportation mode detection using individual and environmental characteristics (2017)Who you are is how you travel…Travel Mode Detection Using GPS Data and Socioeconomic Attributes Based on a Random Forest Classifier (2017)Travel Mode Detection Using G…Inferring transportation modes from GPS trajectories using a convolutional neural network (2017)Inferring transportation mode…Developing and Validating a Statistical Model for Travel Mode Identification on Smartphones (2016)Developing and Validating a S…Transportation mode recognition using GPS and accelerometer data (2013)Transportation mode recogniti…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 …A hybrid method for intercity transport mode identification based on mobility features and sequential relations mined from cellular signaling data (2024)A hybrid method for intercity…TrajSGAN: A Semantic-Guiding Adversarial Network for Urban Trajectory Generation (2023)TrajSGAN: A Semantic-Guiding …GeoSDVA: A Semi-Supervised Dirichlet Variational Autoencoder Model for Transportation Mode Identification (2022)GeoSDVA: A Semi-Supervised Di…A Deep Semi-Supervised Machine Learning Algorithm for Detecting Transportation Modes Based on Gps Tracking Data (2022)A Deep Semi-Supervised Machin…Deriving and validating trip purposes and travel modes for multi-day GPS-based travel surveys: A large-scale application in the Netherlands (2009)Mobile Sensing in Environmental Health and Neighborhood Research (2018)Transport mode detection based on mobile phone network data: A systematic review (2019)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)Inferring High-Level Behavior from Low-Level Sensors (2003)Understanding transportation modes based on GPS data for web applications (2010)Transportation mode detection using mobile phones and GIS information (2011)Discrete Choice Analysis: Theory and Application to Travel Demand. (1987)Statistical and Econometric Methods for Transportation Data Analysis (2003)Smartphones as an integrated platform for monitoring driver behaviour: The role of sensor fusion and connectivity (2018)Online travel mode detection method using automated machine learning and feature engineering (2019)Exploratory Investigation of Disengagements and Crashes in Autonomous Vehicles Under Mixed Traffic: An Endogenous Switching Regime Framework (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)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)Reality mining: sensing complex social systems (2005)Understanding individual human mobility patterns (2008)A survey of results on mobile phone datasets analysis (2015)Country-wide Mobility Changes Observed Using Mobile Phone Data During COVID-19 Pandemic (2020)Trip Purposes Mining From Mobile Signaling Data (2021)Review and Perspectives on Driver Digital Twin and Its Enabling Technologies for Intelligent Vehicles (2022)Travel mode estimation for multi-modal journey planner (2017)An automated approach from GPS traces to complete trip information (2018)Assessing transport related social exclusion using a capabilities approach to accessibility framework: A dynamic Bayesian network approach (2020)Inferring fine-grained transport modes from mobile phone cellular signaling data (2019)Travel Mode Identification With GPS Trajectories Using Wavelet Transform and Deep Learning (2020)A systematic comparative evaluation of machine learning classifiers and discrete choice models for travel mode choice in the presence of response heterogeneity (2022)A DBSCAN-based framework to mine travel patterns from origin-destination matrices: Proof-of-concept on proxy static OD from Brisbane (2021)GPS data-based mobility mode inference model using long-term recurrent convolutional networks (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
  • 2017Inferring transportation modes from GPS trajectories using a convolutional neural network404 cited
  • 2013Transportation mode recognition using GPS and accelerometer data235 cited
  • 2019Semi-Supervised Deep Learning Approach for Transportation Mode Identification Using GPS Trajectory Data156 cited
  • 2017Travel Mode Detection Using GPS Data and Socioeconomic Attributes Based on a Random Forest Classifier114 cited
  • 2020Urban sensing based on mobile phone data: approaches, applications, and challenges106 cited
  • 2017Who you are is how you travel: A framework for transportation mode detection using individual and environmental characteristics76 cited
  • 2020Semi-supervised deep ensemble learning for travel mode identification69 cited
  • 2016Developing and Validating a Statistical Model for Travel Mode Identification on Smartphones42 cited

Cited by

  • 2023TrajSGAN: A Semantic-Guiding Adversarial Network for Urban Trajectory Generation28 cited
  • 2022A Deep Semi-Supervised Machine Learning Algorithm for Detecting Transportation Modes Based on Gps Tracking Data20 cited
  • 2024A hybrid method for intercity transport mode identification based on mobility features and sequential relations mined from cellular signaling data

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15 cited
  • 2022GeoSDVA: A Semi-Supervised Dirichlet Variational Autoencoder Model for Transportation Mode Identification9 cited