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利用简化时间序列法预测公共交通客运量
引用本文:曾华燕,郑琼芳,蔡铭洲. 利用简化时间序列法预测公共交通客运量[J]. 城市公共交通, 2021, 0(3): 37-40
作者姓名:曾华燕  郑琼芳  蔡铭洲
作者单位:深圳大学,深圳 518052;佛山市自然资源局顺德分局,佛山 528333
摘    要:在满足一定的前提下,时间序列法可以用于预测公共交通客运量;预测的计算过程可以采用excel等软件来辅助计算,也可以采用手算.在需要手算的情况下,将时间的年份序列进行简化,能够提高手算速度,有助于使用者更快地完成计算过程、得到同样的预测结果,并能有助于使用者更好地理解时间序列法的应用.

关 键 词:时间序列法  最小二乘法  公共交通客运量  预测

Public Transportation Passenger Volume Prediction by Simplified Time Series Forecasting Method
Zeng Huayan,Zheng Qiongfang,Cai Mingzhou. Public Transportation Passenger Volume Prediction by Simplified Time Series Forecasting Method[J]. Urban Public Transport, 2021, 0(3): 37-40
Authors:Zeng Huayan  Zheng Qiongfang  Cai Mingzhou
Affiliation:(College of Civil and Transportation Engineering,Shenzhen university,Shenzhen 518052;Bureau of Natural Resources of Shunde,Foshan 528333)
Abstract:Given certain conditions,time series forecasting can be used in public transportation passenger volume prediction.The calculation can be solved by using Excel or by hand.The hand calculation can be simplified when the time series is adjusted linearly,while achieving the same forecasting results as well.The simplification can also help the users to understand time series forecasting method better.
Keywords:time series forecasting  least square method  public transportation passenger volume  prediction
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