数据挖掘技术在我国道路交通安全评价中的应用  

The Application of Data Mining Technology in Road Traffic Safety Evaluation

作　　者：楼佳妮 LOU Jiani(POWERCHINA Huadong Engineering Corporation Limited,Hangzhou 310000,Zhejiang,China)

机构地区：[1]中国电建集团华东勘测设计研究院有限公司,浙江杭州310000

出　　处：《工程技术研究》2024年第23期65-67,共3页Engineering and Technological Research

摘　　要：随着经济的快速增长和城市化进程的加快,道路交通安全问题日益凸显,成为社会稳定与人们生命财产安全的重要影响因素。数据挖掘技术因具有强大的数据分析能力,为解决此类问题提供了新的思路。文章结合实际案例,研究数据挖掘技术在我国道路交通安全评价中的应用。研究结果表明,在2022年11月(第15个统计时段)之后,模型的安全指数持续低于100;在同一时间段内,模型A有12个月份的安全指数超过了100,占总统计时段的48%,表明其评估结果对交通安全形势的判断相对较为乐观。With the rapid growth of economy and the acceleration of urbanization,road traffic safety issues have become increasingly prominent,which has become an important factor affecting social stability and people's life and property safety.Data mining technology provides a new way to solve such problems because of its powerful data analysis ability.Combined with practical cases,this paper studies the application of data mining technology in road traffic safety evaluation in China.The research results show that after November 2022(the 15th statistical period),the safety index of the model continues to be lower than 100;in the same period,the safety index of Model A has exceeded 100 in 12 months,accounting for 48%of the total statistical period,indicating that the evaluation results are relatively optimistic about the traffic safety situation.

关 键 词：数据挖掘技术 道路交通安全 安全指数 评价体系 

分 类 号：U492.8[交通运输工程—交通运输规划与管理]