基于收费大数据的公路养护隐性知识挖掘
Hidden Knowledge Mining of Highway Maintenance Based on Toll Big Data
金尧 1杨猛 1王海涛 2王雪梅1
作者信息
- 1. 黑龙江省交通运输信息和科学研究中心,黑龙江 哈尔滨 150080
- 2. 中诚安美建筑科技有限公司,黑龙江 哈尔滨 150080
- 折叠
摘要
针对高速公路养护管理中决策支持数据不足问题,利用高速公路收费系统收费历史累积数据,采用大数据分析处理技术,研究了高速公路养护专题数据挖掘系统、流程和方法,列举了若干养护管理方面的隐性知识发现结果,并给出了货车轴型分布规律和轴载荷分布模型.
Abstract
In response to the problem of insufficient decision support data in highway maintenance management,using the historical ac-cumulated data of highway toll collection system,big data analysis and processing technology,this study investigates the special data mining system,process and method for highway maintenance.Several implicit knowledge discovery results in maintenance management are listed,and the distribution law of truck axle shape and axle load distribution model are provided.
关键词
高速公路收费/数据挖掘/公路养护Key words
toll collection on expressway/data mining/highway maintenance引用本文复制引用
出版年
2024
NETL
NSTL
万方数据