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

作　　者：金尧 杨猛 王海涛 王雪梅 JIN Yao;YANG Meng;WANG Haitao;WANG Xuemei(Heilongjiang Transportation Information and Science Research Center,Harbin,Heilongjiang 150080,China;Zhongcheng Anmei Construction Technology Co.,Ltd.,Harbin,Heilongjiang 150080,China)

机构地区：[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

出　　处：《黑龙江交通科技》2024年第7期160-163,168,共5页Communications Science and Technology Heilongjiang

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。In response to the problem of insufficient decision support data in highway maintenance management,using the historical accumulated 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 

分 类 号：U418[交通运输工程—道路与铁道工程]