DocumentCode :
2647518
Title :
Research on de-noise in prediction of road traffic flow
Author :
Liu, Bin-Sheng ; Li, Yi-Jun
Author_Institution :
Harbin Eng. Univ., Harbin
Volume :
4
fYear :
2007
fDate :
2-4 Nov. 2007
Firstpage :
1493
Lastpage :
1497
Abstract :
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.
Keywords :
road traffic; signal denoising; traffic engineering computing; wavelet transforms; nonlinear wavelet transform; road traffic flow forecasting; threshold value denoising; Additive noise; Economic forecasting; Frequency; Noise level; Noise reduction; Predictive models; Roads; Traffic control; Wavelet analysis; Wavelet transforms; de-noise; road traffic flow; threshold; wavelet transform;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wavelet Analysis and Pattern Recognition, 2007. ICWAPR '07. International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-1065-1
Electronic_ISBN :
978-1-4244-1066-8
Type :
conf
DOI :
10.1109/ICWAPR.2007.4421686
Filename :
4421686
Link To Document :
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