Classifying Transport 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)...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Findings Press
2020-09-01
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| Series: | Findings |
| Online Access: | https://doi.org/10.32866/001c.14520 |
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