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...

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Detalles Bibliográficos
Autores principales: Wang, Chen, Liu, Lin, Xu, Chengcheng, Lv, Weitao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6388263/
https://www.ncbi.nlm.nih.gov/pubmed/30691063
http://dx.doi.org/10.3390/ijerph16030334

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