Investigating the Significant Individual Historical Factors of Driving Risk Using Hierarchical Clustering Analysis and Quasi-Poisson Regression Model

Driving risk varies substantially according to many factors related to the driven vehicle, environmental conditions, and drivers. This study explores the contributing historical factors of driving risk with hierarchical clustering analysis and the quasi-Poisson regression model. The dataset of the s...

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Detalles Bibliográficos
Autores principales: Naji, Hasan A.H., Xue, Qingji, Zheng, Ke, Lyu, Nengchao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7219231/
https://www.ncbi.nlm.nih.gov/pubmed/32325844
http://dx.doi.org/10.3390/s20082331

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7219231/
https://www.ncbi.nlm.nih.gov/pubmed/32325844
http://dx.doi.org/10.3390/s20082331

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