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高速铁路列车调度策略关联规则分析

Analysis on Correlation Rules of High Speed Railway Train Dispatching Strategy

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【作者】 葛学锴陈锐锐黄平文超蒋朝哲

【Author】 GE Xuekai;CHEN Ruirui;HUANG Ping;WEN Chao;JIANG Chaozhe;National United Engineering Laboratory of Integrated and Intelligent Transportation, Southwest Jiaotong University;School of Transportation and Logistics, Southwest Jiaotong University;

【通讯作者】 黄平;

【机构】 西南交通大学综合交通运输国家地方联合工程实验室西南交通大学交通运输与物流学院

【摘要】 研究高速铁路列车调度策略规律,揭示调度策略与各影响因素之间的关系,对实现高速铁路智能调度指挥具有重要意义。以高速铁路列车运行数据为研究对象,探明列车调度策略与列车运行指标之间的规律。首先对数据进行预处理,提取车站调度策略和区间调度策略。然后根据调度策略的发生机理,提取与车站、区间调度策略有关联的列车运行指标。接着,利用数据挖掘Apriori算法对调度策略与列车运行指标进行关联规则分析。结果发现:运用关联分析的方法可有效挖掘出调度策略与列车运行指标之间的潜在规律,为实现高速铁路智能调度提供辅助决策支持。

【Abstract】 It is of great significance to realize high speed railway intelligent dispatch and command by studying the law of high speed railway train dispatching strategy and revealing the relationship between dispatching strategy and various influencing factors. This paper takes high speed railway train operation data as the research object to explore the law between the train dispatching strategy and the train operation index. To begin with, the data is preprocessed to extract the station and section dispatching strategies. Then, according to the occurrence mechanism of the dispatching strategy, the train operation index related to the station and section dispatching strategies are extracted. Next, the Apriori algorithm for data mining is applied to analyze the correlation rules between the dispatching strategy and the train operation index. The results show that the method of association analysis can be adopted to effectively explore the potential law between the dispatching strategy and the train operation index, providing decision-making support for high speed railway intelligent dispatching.

【基金】 中央高校基本科研业务费专项资金项目(2682021CX051);国家自然科学基金项目(71871188);中国国家铁路集团有限公司科技研究开发计划项目(P2020X016)
  • 【分类号】U292.4
  • 【被引频次】1
  • 【下载频次】276
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