基于关联规则的公交事故受伤情况预测研究

Application of Association Rule for Forecasting Injuries in Bus Accidents

实践表明,解决城市交通问题的最重要的方法就是发展公共交通。城市公共交通工具的增多,必然会导致一些事故的发生,如何避免公交事故的发生也成为了人们关注的焦点。分析了影响公交事故的各种因素、人员受伤的部位及受伤的程度,并且根据这些属性得到在不同的影响因素下人员会受到的伤害。显然,如果仅仅查看资料是无法得到它们之间的关联的,所以,需要数据挖掘技术来找出这些属性之间的关联关系,从而根据得到的不同规则分析各种事故的产生的原因,以此来加强公交公司的管理,达到减少公交事故发生的目的。

Practice shows that the most important way to solve urban traffic problem is to develop public transport. The increasing of the urban public transportation will inevitably lead to some accidents. How to avoid the bus accident also becames the focus of attention. The various influence factors of bus accidents, personnel injuries and the extent of the injury are analyzed, and according to these properties, what people are hurt under different factors will be got. Obviously, only to check the data is unable to get the relationships among them, so it requires data mining technology to find out the relationships among these properties and analyze the causes of all kinds of accidents according to different rules. Because of this, the management of the bus company will be strengthened and bus accidents will be reduced.