摘要
城市机动车数量的增加已经导致城市交通事故的频繁发生,能否对已发生事故作出正确的分析将直接影响到能否对未来类似事故的成功避免。本文提出一种使用数据挖掘领域中的多维关联规则技术分析大量交通事故记录的方法,通过找出可能导致交通事故发生的频繁因素组合来发现某些事故发生的规律,并将这些规律作为现实中作出预防举措的依据。
The increase in the number of urban vehicles has led to the frequent occurrence of traffic accidents. Whether we can analyze those accidents correctly in the past will directly determine the avoidance of future ones of the similar kind. In this paper, we introduce a famous method in the field of data mining, called muhidimensional association rule method, helps analyze the large amounts of traffic accident records. With this method ,we are able to find out the underlying rules in traffic accidents through searching the combination of frequent factors that probably lead to traffic accidents. In addition, armed with these rules discovered, we will be able to take effective actions to prohibit the anticipated accidents in real world.
出处
《计算机应用与软件》
CSCD
北大核心
2006年第2期40-42,65,共4页
Computer Applications and Software
基金
上海信息专业资金项目基金编号:信部运[2003]446号
