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Predicting Future Driving Risk of Crash-Involved Drivers Based on a Systematic Machine Learning Framework
The objective of this paper is to predict the future driving risk of crash-involved drivers in Kunshan, China. A systematic machine learning framework is proposed to deal with three critical technical issues: 1. defining driving risk; 2. developing risky driving factors; 3. developing a reliable and...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6388263/ https://www.ncbi.nlm.nih.gov/pubmed/30691063 http://dx.doi.org/10.3390/ijerph16030334 |