Classifying transportation mode from Global Positioning Systems and accelerometer data: A machine learning approach
Smartphones and wearable devices are driving a boom in mobility data. We use data-driven tools for classifying movement data into five different travel modes (bicycle, walk, bus, motor vehicle and SkyTrain) in Vancouver and St. John’s, Canada. Using data from a GPS-enabled smartphone app (Itinerum)...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Network Design Lab
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| Series: | Transport Findings |
| Online Access: | http://transportfindings.scholasticahq.com/article/14520-classifying-transportation-mode-from-global-positioning-systems-and-accelerometer-data-a-machine-learning-approach.pdf |