Research on de-noise in prediction of road traffic flow

被引:0
|
作者
Liu, Bin-Sheng [1 ,2 ]
Li, Yi-Jun [2 ]
机构
[1] Harbin Engn Univ, Sch Econ & Management, Harbin 150001, Peoples R China
[2] Harbin Inst Technol, Sch Management, Harbin 150001, Peoples R China
关键词
wavelet transform; de-noise; threshold; road traffic flow;
D O I
暂无
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Noisy data in road traffic flow will ultimately affect the accuracy of their forecasts. For some forecasting model denoising will have some good results, but on the contrary it will reduce forecasting accuracy for some other models. It is very important to introduce effective denoising methods to improve the precision of forecasting in this circumstance. In this paper, the limited denoising based on wavelet transform is proposed. Through the improvements to the determination of the threshold value of non-linear wavelet transform denoising method, limited denoising is achieved. Application of road traffic flow forecasting show that the method is effective.
引用
收藏
页码:1493 / +
页数:2
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