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

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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Bibliographic Details
Main Authors: Hasan A.H. Naji, Qingji Xue, Ke Zheng, Nengchao Lyu
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:Sensors
Subjects:
near-crash frequency
historical driver risk
hierarchical clustering analysis
quasi-Poisson regression model
Online Access:https://www.mdpi.com/1424-8220/20/8/2331

Internet

https://www.mdpi.com/1424-8220/20/8/2331

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