摘要
由2007~2016年道路交通事故统计数据,确定影响道路交通事故起数和直接财产损失关键因素;对我国道路交通事故起数、直接财产损失及其相关因素建立关联矩阵,进行优势分析,利用灰色预测理论,建立道路交通事故起数、直接财产损失和相关因素的灰色GM(1,1)模型,经检验可知模型预测精度高,为管理部门制定预防交通事故措施提供数据支撑,也促进灰色理论与交通科学协同发展。
From the statistical data of 2007~2016 years of road traffic accidents,road traffic accidents to determine the influence of key factors and the number of direct property loss; We establish the correlation matrix,the number of direct property loss and related factors of road traffic accidents in China,analyze advantage,using grey theory,establish the number,direct property loss and related factors of grey artificial BP the neural network model of road traffic accidents,the test shows that the prediction accuracy is high,it provides data support for the management of the development of traffic accident prevention measures,also promote the grey theory and transportation science collaborative development.
作者
任丽萍
马北京
REN Li-ping;MA Bei-jing(Depamnent of Basic Education,Jiangsu Jianzhu Institute,Xuzhou 221116,China;Overseas Development Company,China Coal No.5 Construction Co.,Ltd.,Xuzhou 221000,China)
出处
《价值工程》
2018年第22期14-16,共3页
Value Engineering
基金
2014-2015年江苏省高职院校高级访问学者项目资助
2014年江苏省大学生实践创新项目资助
