基于数据挖掘技术的交通事故分析  

Traffic Accident Analysis Based on Data Mining Technology

作　　者：刘军[1] 艾力.斯木吐拉[1] 马晓松[1] 

机构地区：[1]新疆农业大学,乌鲁木齐830052

出　　处：《交通与计算机》2008年第1期73-76,共4页Computer and Communications

基　　金：国家自然科学基金项目资助(批准号:50422286)

摘　　要：为了有效地识别和发现事故数据的模式及其内在规律,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,协助交通管理者更好地找出引发事故的原因与规律,并作出相应的决策。In order to effectively identify and find that the accident data model and its inherent laws, a method was presented, which used multi-dimensional association rules analysis in the field of data mining to analyze a large number of traffic accidents records. The frequent occurrence factors combination that may possibly lead to the traffic accidents was identified to help traffic managers better find out the law and the cause of the accidents and to make the corresponding decisions.

关 键 词：数据挖掘 多维关联规则 交通事故 沙漠公路 

分 类 号：X913.4[环境科学与工程—安全科学]