摘要
基于主成分分析原理研究了主成分分析在高速公路交通事故中的应用,根据数据分析结果,得出了影响交通安全的主要原因,进而采用关联规则挖掘方法挖掘出导致事故原因的条件因素,从而提出相应的预防措施,以达到降低高速公路交通事故发生的目的。
This paper introduces an application of principal component analysis for freeway traffic accident.The authors first investigated main reasons which might cause traffic accident by principal component analysis,and then analyzed the conditional factors by association rule mining.It is helpful for reducing the occurrences ratio of traffic accident by making corresponding protective measures to investigated conditional factors.
出处
《计算机工程与应用》
CSCD
北大核心
2008年第5期218-220,共3页
Computer Engineering and Applications
关键词
高速公路
交通事故
主成分分析
关联规则挖掘
freeway
traffic accident
principal components analysis
association rule mining
