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灰色预测模型在高速公路车流预测中的应用
引用本文:汪超,孙卫华,何元烈. 灰色预测模型在高速公路车流预测中的应用[J]. 广东工学院学报, 2012, 0(1): 32-34
作者姓名:汪超  孙卫华  何元烈
作者单位:[1]广东省公路勘察规划设计院股份有限公司市政与交通工程设计部,广东广州510507 [2]广东工业大学计算机学院,广东广州510006
摘    要:介绍了灰色预测理论的GM(1,1)模型并将它运用到高速公路车流量预测中.利用巴特沃斯低通滤波器改进了GM(1,1)模型的误差修正方法,使得误差修正方法更准确、算法性能更稳定.整个预测系统满足了工程应用要求,具有一定的实际意义和参考价值.

关 键 词:灰色预测  GM(1,1)模型  巴特沃斯滤波器  交通流量预测  误差修正

The Application of Gray Prediction Model in Highway Traffic Predication
Wang Chao,Sun Wei-hua,He Yuan-lie. The Application of Gray Prediction Model in Highway Traffic Predication[J]. , 2012, 0(1): 32-34
Authors:Wang Chao  Sun Wei-hua  He Yuan-lie
Affiliation:1.Dept of Muncipal and Traffic Engineering,Guangdong Highway Design Institute CO.,Ltd.,Guangzhou 510507,China;2.Faculty of Computer Science,Guangdong University of Technology,Guangzhou 510006,China)
Abstract:It introduces the GM(1,1) model of the gray predication theory and its application in the predication of highway traffic flow.The Butterworth low pass filter was applied to correct the error for the GM(1,1) model.The new method for error correction improves the accuracy and the stability of the GM(1,1) model.The predication system can fully meet the requirements of the clients,and it has some practical significance and reference value.
Keywords:gray predication  GM(1  1) model  Butterworth filter  traffic flow predication  error correction
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