Title :
Analysis of Spectrum and Prediction for Short-term Traffic Flow
Author :
Xiaoxiong, Weng ; Jun, Jian
Author_Institution :
South China Univ. of Technol., Guangzhou
Abstract :
In this paper, based on analysing spectrum of short-term traffic flow by FFT transformation in limited length, we make use of neutral network to forecast the direct data and every scales data which was decomposed and reconstructed by wavelet analysis. Comparing with two results, prediction of the composing data which has been decomposed and reconstructed by wavelet has better accuracy, it can prove that wavelet analysis has value for studying in prediction of short-term traffic flow.
Keywords :
fast Fourier transforms; neural nets; road traffic; traffic engineering computing; wavelet transforms; FFT transformation; neutral network; short-term traffic flow; spectrum analysis; wavelet analysis; Discrete Fourier transforms; Fuzzy systems; Intelligent systems; Telecommunication traffic; Wavelet analysis; fuzzy neutral network; prediction of short-term traffic flow; urban traffic system; wavelet analysis;
Conference_Titel :
Control Conference, 2007. CCC 2007. Chinese
Conference_Location :
Hunan
Print_ISBN :
978-7-81124-055-9
Electronic_ISBN :
978-7-900719-22-5
DOI :
10.1109/CHICC.2006.4347305
