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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7177658/ https://www.ncbi.nlm.nih.gov/pubmed/32244469 http://dx.doi.org/10.3390/ijerph17072375 |