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吕晓艳, 刘彦麟, 颜颖, 王炜炜. 铁路客流总量预测方法研究[J]. 铁路计算机应用, 2016, 25(2): 1-3.
引用本文: 吕晓艳, 刘彦麟, 颜颖, 王炜炜. 铁路客流总量预测方法研究[J]. 铁路计算机应用, 2016, 25(2): 1-3.
LV Xiaoyan, LIU Yanlin, YAN Ying, WANG Weiwei. Forecasting method for total railway passenger flow[J]. Railway Computer Application, 2016, 25(2): 1-3.
Citation: LV Xiaoyan, LIU Yanlin, YAN Ying, WANG Weiwei. Forecasting method for total railway passenger flow[J]. Railway Computer Application, 2016, 25(2): 1-3.

铁路客流总量预测方法研究

Forecasting method for total railway passenger flow

  • 摘要: 客流预测是铁路运输进行运力布局,产品调整的重要基础。预测的科学性、精确度将直接影响运输生产,因此努力提高客流预测的精度与可用性,是目前运输学科的一个热门研究领域。本文提出基于历史与预售的时间序列(HAP)预测方法对铁路客运中、短期客运总量进行预测分析,以预测铁路客流总量,控制预测误差。经过实际应用,验证了该方法的科学性和合理性。

     

    Abstract: Passenger flow forecast is an important foundation for railway transport to arrange the transport capacity, adjust rail transport product. The science and accuracy of prediction would directly affect the transportation production, therefore to improve the accuracy and availability of passenger transport forecast is a hot research area. This article proposed a forecasting method HAP to analyze the total railway passenger transport volume for the middle-term and short-term railway passenger transport, forecast the total railway passenger flow and control the prediction error. The application test proved that HAP was a valid method to forecast the total railway passenger flow.

     

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