Study on Risky Behavior of Commercial Drivers Based on Clustering Analysis
NIU Zeng-liang
LI Hai-bin
WANG Wen-feng
BAI Li-xia
Abstract：In order to improve the traffic safety and decrease the amount of traffic accidents about commercial vehicles,this article begins with studying the relationship between the external factors and driving behaviors from the risky driving behaviors.On the basis of a large number of traffic accident data,this paper analyzes the application of the quantificationally clustering method to the risky driving behavior research.The article puts forward the thought of applying the hierarchical clustering and fussy clustering to the calcification analysis of the risky driving behaviors.Also the paper discusses the result obtained from the two methods through the practical example of the risky driving behaviors of commercial drivers.The research shows that the merged risky driving behavior by the clustering method has the similar relevancy to the responding external factors.
Keywords：road safetytraffic accidentcommercial vehicledriving behaviorclustering analysis
Publication Date：2014-01-01
Online Publishing Date：2026-05-22(First online date of this platform, not the publication date of the document)
Pages：5( 19-23 )