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Automated Transportation Mode Detection Using Smart Phone Applications via Machine Learning: Case Study Mega City of Tehran
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Automated Transportation Mode Detection Using Smart Phone Applications via Machine Learning: Case Study Mega City of Tehran (2015)Automated Transportation Mode Detection U…Urban Mobility Pattern Detection: Development of a Classification Algorithm Based on Machine Learning and GPS (2024)Urban Mobility Pattern Detect…Trip segmentation and mode detection for human mobility data (2023)Trip segmentation and mode de…Machine-Learning Approaches to Identify Travel Modes Using Smartphone-Assisted Survey and Map Application Programming Interface (2022)Machine-Learning Approaches t…Benchmarking machine learning algorithms by inferring transportation modes from unlabeled GPS data (2022)Benchmarking machine learning…Using genetic programming on GPS trajectories for travel mode detection (2021)Using genetic programming on …Transportation Mode Detection from Low-Power Smartphone Sensors Using Tree-Based Ensembles (2019)Transportation Mode Detection…Learning transportation mode from raw gps data for geographic applications on the web (2008)Transportation mode detection using mobile phones and GIS information (2011)Transportation mode recognition using GPS and accelerometer data (2013)A Semi-Supervised Deep Residual Network for Mode Detection in Wi-Fi Signals (2020)Multi-modal Machine Learning Investigation of Telework and Transit Connections (2024)DIRECT AND INVERSE SOLUTIONS OF GEODESICS ON THE ELLIPSOID WITH APPLICATION OF NESTED EQUATIONS (1975)Understanding mobility based on GPS data (2008)Modeling the Impact of Weather and Context Data on Transport Mode Choices: A Case Study of GPS Trajectories from Beijing (2022)A deep learning approach for transportation mode identification using a transformation of GPS trajectory data features into an image representation (2024)Testing feasibility of using a hidden Markov model on predicting human mobility based on GPS tracking data (2024)Inferring transportation modes from GPS trajectories using a convolutional neural network (2017)Estimating traffic demand of different transportation modes using floating smartphone data (2024)Understanding transportation modes based on GPS data for web applications (2010)Prediction and behavioral analysis of travel mode choice: A comparison of machine learning and logit models (2020)Influence of pedestrianization on travel behavior changes: a case study of Montreal (2025)Travel mode detection based on GPS track data and Bayesian networks (2015)A comparative study of machine learning classifiers for modeling travel mode choice (2017)A Survey of Road Traffic Congestion Measures towards a Sustainable and Resilient Transportation System (2020)
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Cited by

  • 2019Transportation Mode Detection from Low-Power Smartphone Sensors Using Tree-Based Ensembles26 cited
  • 2024Urban Mobility Pattern Detection: Development of a Classification Algorithm Based on Machine Learning and GPS25 cited
  • 2022Machine-Learning Approaches to Identify Travel Modes Using Smartphone-Assisted Survey and Map Application Programming Interface20 cited
  • 2021Using genetic programming on GPS trajectories for travel mode detection14 cited
  • 2022Benchmarking machine learning algorithms by inferring transportation modes from unlabeled GPS data11 cited
  • 2023Trip segmentation and mode detection for human mobility data5 cited

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