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建立铁路货运量季节性预测模型的研究
引用本文:任德亮,李向国,张天伟.建立铁路货运量季节性预测模型的研究[J].铁道运输与经济,2004,26(8):65-67.
作者姓名:任德亮  李向国  张天伟
作者单位:1. 石家庄铁道学院,科技处,河北,石家庄,050043
2. 石家庄铁道学院,交通工程分院,河北,石家庄,050043
摘    要:铁路货运量预测是编制运输方案的依据,目前采用的预测方法,难以全面、科学地反映数据的内在结构和复杂性,以年度为单位预测时,误差不大,但按月度预测时,则误差较大。为此利用三角函数周期性的特点,辅以线性趋势变动,建立适合不同预测期限、不同预测精度的季节性预测模型,经实例检测能够较为准确地预测月计划运输量。

关 键 词:铁路  货运量  预测模型  季节性  研究
文章编号:1003-1421(2004)08-0065-02
修稿时间:2004年6月23日

Study in Creating Seasonal Forecast Model for Railway Freight Transport Volume
REN De-liang,LI Xiang-guo,ZHANG Tian-wei.Study in Creating Seasonal Forecast Model for Railway Freight Transport Volume[J].Rail Way Transport and Economy,2004,26(8):65-67.
Authors:REN De-liang  LI Xiang-guo  ZHANG Tian-wei
Institution:REN De-liang1,LI Xiang-guo2,ZHANG Tian-wei2
Abstract:Railway freight transport volume forecast isthe base for establishing transportation plan. The currentforecast method couldn't reflect the internal structure andthe complicity of data in a complete and scientific way.When carrying out the forecast at annual basis, thedeficiency is ok; however, it becomes obvious when atmonthly basis. Benefiting from the periodicity character oftrigonometric function, assisting by linear tendency change,the paper establishes a seasonal forecast model that is fitfor different forecast period with different accuracy. Theactual application of this model shows that it can accuratelyforecast monthly transport volume.
Keywords:railway  freight transport volume  forecastmodel  seasonality  study  
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