Improve Aggressive Driver Recognition Using Collision Surrogate Measurement and Imbalanced Class Boosting
Real-time recognition of risky driving behavior and aggressive drivers is a promising research domain, thanks to powerful machine learning algorithms and the big data provided by in-vehicle and roadside sensors. However, since the occurrence of aggressive drivers in real traffic is infrequent, most...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-03-01
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| Series: | International Journal of Environmental Research and Public Health |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1660-4601/17/7/2375 |