DocumentCode
1831205
Title
The evaluation method of road traffic safety based on the combined Principal Component Cluster analysis
Author
Wei, Liying ; Sun, Jian
Author_Institution
Sch. of Traffic & Transp., Beijing Jiaotong Univ., Beijing, China
Volume
5
fYear
2011
fDate
13-15 May 2011
Firstpage
103
Lastpage
107
Abstract
On purpose of scientifically and reasonably evaluating the present state of traffic safety, the improved Principal Component analysis and Cluster analysis are combined and the deficiency of existence of negative variation coefficient in Principal Component analysis could be made up by value assignment analysis. First of all, the synthesis evaluation indicators system is constructed based on nine relative indicators such as mortality rate per ten thousand vehicles, injury rate per ten thousand vehicles, mortality rate per million people, injury rate per million people, crash frequency per mile, extra serious accident frequency per mile and so on, which could comprehensively reflect the safety of road traffic. Then, the data from the eastern provinces of China in 2009 are synthetically evaluated step by step as an example by applying the traditional and improved Principal Component analysis methods. Lastly, the evaluation results are compared and analyzed according to the differences between these two methods by the Cluster analysis method.
Keywords
injuries; principal component analysis; road accidents; road safety; road traffic; combined principal component cluster analysis; crash frequency; extra serious accident frequency; injury rate; mortality rate; road traffic safety; synthesis evaluation indicators system; value assignment analysis; Accidents; Correlation; Injuries; Principal component analysis; Roads; Safety; Vehicles; cluster analysis; comprehensive evaluation; indicator; principal component; variation coefficient;
fLanguage
English
Publisher
ieee
Conference_Titel
Business Management and Electronic Information (BMEI), 2011 International Conference on
Conference_Location
Guangzhou
Print_ISBN
978-1-61284-108-3
Type
conf
DOI
10.1109/ICBMEI.2011.5914438
Filename
5914438
Link To Document