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
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;
Conference_Titel :
Intelligent Transportation Systems, 2002. Proceedings. The IEEE 5th International Conference on
Print_ISBN :
0-7803-7389-8
DOI :
10.1109/ITSC.2002.1041309
