Study on regular pattern of railway passener flow in three-daw holiday based on clustering method of time series
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摘要: 分析了小长假铁路客流的行成原因,从出行者特征和出行目的两方面总结了客流影响因素。以客票历史数据为依据,从日发送量、乘车里程等级、席别等级等方面分析了小长假铁路客流波动趋势。定义小长假客流波动系数,根据小长假客流的变化趋势特点,提出用基于波动趋势的客流时间序列聚类方法进行小长假客流规律的研究。并对聚类过程中小长假时间序列的构建、表示方法、特征值提取及聚类步骤进行了详细描述。Abstract: The paper analyzed the causes of the railway passenger flow in the three-day holiday, summarized the factors of the railway passenger flow from the characteristics about passengers and travel purposes, based on the historical tickets data, analyzed the fluctuation characteristics of passenger flow in three-day holiday from transport volume, the grade of the board distance, the grade of the seat type, etc, defined the three-day holiday passenger flow fluctuation coefficient and based on a small holiday passenger trends, proposed a clustering method of time series to study the regular pattern of passenger flow in the three-day holiday and made detailed descriptions about the building of time series of the three-day holiday and its representations, eigenvalue extraction and clustering step.
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[1] 马彦祥,高 篙.铁路短期客流时序规律分析[J].铁道运输与经济,2010,32（2）：87-90. [2] 马彦祥.基于客流激发能级模型的铁路客流短期预测研究[D].北京：北京交通大学,2008. [3] 张 敏,张 超.京津城际高速铁路客流结构和出行特征分析[J].中国储运,2010（6）：88-89. [4] 甄 静.京沪线路客流规律分析[J].中国铁道科学,2002,23（2）：122-126. [5] 廖智君.南吕客运站春运客流分析及对策研究[D].成都：西南交通大学,2003. [6] 夏 青. 节假日铁路客流波动规律分析及其在客流预测中的应用研究[D].北京：北京交通大学 ,2011.
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