数据挖掘技术在行车调整中的应用研究  

Research of Data Mining in Traffic Re-scheduling

作　　者：王涛[1] 张琦[1] 袁志明[1] 

机构地区：[1]中国铁道科学研究院通信信号研究所

出　　处：《铁道通信信号》2014年第1期8-12,共5页Railway Signalling & Communication

摘　　要：在对行车调整问题进行分析的基础上,结合数据挖掘技术,采用决策树的方法,以寻找连带晚点时间总和最小的调整策略为目标,对以往积累的与运行图相关的数据资源进行分析重构,寻找各故障模式下较优的行车调整策略,并对数据挖掘模型的运行机制进行了论述。该模型在实验室中得到了应用,并取得了良好的效果。Through analyzing the problem of re-scheduling, we adopt a cteeasmn tree meu^ou ~ data mining theory to figure out optimum strategies of traffic rescheduling under various failure modes with minimum total time of knock-on delay as an goal by analyzing and reconstructing the history data re- sources related to train diagram. Furthermore, we explore the operating mechanism of the data mining model, which has been applied in our lab and achieved good effects.

关 键 词：数据挖掘 行车调整 决策树 运行图 

分 类 号：U292[交通运输工程—交通运输规划与管理] TP311.13[交通运输工程—道路与铁道工程]