DocumentCode
2369254
Title
A study on the short-term prediction of traffic volume based on wavelet analysis
Author
HE, Guoyang ; Ma, Shoufeng
Author_Institution
Inst. of Syst. Eng., Tianjin Univ., China
fYear
2002
fDate
2002
Firstpage
731
Lastpage
735
Abstract
An approach based on wavelet decomposition and reconstruction is put forward, this approach can be used to predict traffic volume effectively. The determination of the parameters is discussed and simulation results are given.
Keywords
automated highways; forecasting theory; stochastic processes; time series; wavelet transforms; microscopic simulation; short-term prediction; traffic volume; wavelet analysis; wavelet decomposition; wavelet reconstruction; Cellular neural networks; Control systems; Fluid flow measurement; Helium; Microscopy; Predictive models; Stochastic processes; Timing; Traffic control; Wavelet analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Transportation Systems, 2002. Proceedings. The IEEE 5th International Conference on
Print_ISBN
0-7803-7389-8
Type
conf
DOI
10.1109/ITSC.2002.1041309
Filename
1041309
Link To Document