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基于数据挖掘的船舶人为碰撞事故致因链研究
Causation chain of ship collision accident due to human error based on data mining technology
【摘要】 为有效研究人为失误导致船舶碰撞事故的形成机理,采用贝叶斯网络结构和数据挖掘算法构建事故致因链.分析128起典型人为失误致因船舶碰撞事故案例,依据事故中驾驶员认知行为形成过程,采用贝叶斯网络构建事故致因网络结构;采用Apriori算法和JAVA语言编程挖掘事故的人为失误频繁因素组合,得出导致碰撞事故的人为失误致因链.
【Abstract】 To effectively analyze the formation mechanism of ship collision accident,an accident causation chain was structured based on Bayesian network and data mining algorithm. 128 cases of typical human errors caused ship collision accidents were analyzed,and the network structure of accident cause was built according to driver’s cognitive behavior formation process. Apriori algorithm and Java program were employed to identify frequent occurrence human error,and the accident causation chain was formed.
【关键词】 船舶;
碰撞事故;
数据挖掘;
关联规则;
人为失误;
致因链;
【Key words】 ship; collision accident; data mining; association rule; human error; causation chain;
【Key words】 ship; collision accident; data mining; association rule; human error; causation chain;
【基金】 国家自然科学基金资助项目(2013Z0216)
- 【文献出处】 大连海事大学学报 ,Journal of Dalian Maritime University , 编辑部邮箱 ,2014年02期
- 【分类号】U698.6
- 【被引频次】25
- 【下载频次】696