Rough Orthogonal Wavelet Network and Its Applications to the Traffic Flow Forecast

Li Cai YANG;Lei JIA;Qing Jie KONG;Shu LIN

Systems Engineering - Theory & Practice ›› 2005, Vol. 25 ›› Issue (8) : 124-129.

PDF(227 KB)
PDF(227 KB)
Systems Engineering - Theory & Practice ›› 2005, Vol. 25 ›› Issue (8) : 124-129. DOI: 10.12011/1000-6788(2005)8-124
论文

Rough Orthogonal Wavelet Network and Its Applications to the Traffic Flow Forecast

  • Li Cai YANG,Lei JIA,Qing Jie KONG,Shu LIN
Author information +
History +

Abstract

Based upon the characteristics of traffic flow forecast and the principal component analysis (PCA), a new traffic flow forecasting model combined rough sets and orthogonal wavelet network together, called rough orthogonal wavelet network forecasting model, is put forward. The model has been successfully used to forecast urban traffic flow. Using the principal component analysis about input vectors, the model keeps away from the dimension avalanche of orthogonal wavelet networks. The experiment results show ...

Key words

wavelet network / traffic flow forecast / rough sets / PCA / intelligent transportation system

Cite this article

Download Citations
Li Cai YANG , Lei JIA , Qing Jie KONG , Shu LIN. Rough Orthogonal Wavelet Network and Its Applications to the Traffic Flow Forecast. Systems Engineering - Theory & Practice, 2005, 25(8): 124-129 https://doi.org/10.12011/1000-6788(2005)8-124
PDF(227 KB)

299

Accesses

0

Citation

Detail

Sections
Recommended

/