DocumentCode
1956468
Title
The improvement of the forecasting model of short-term traffic flow based on wavelet and ARMA
Author
Zheng, Cao ; Li, Lei
Author_Institution
Dept. of Traffic & Transp., Beijing Jiaotong Univ., Beijing, China
fYear
2010
fDate
6-9 Oct. 2010
Firstpage
1
Lastpage
4
Abstract
Currently, the effects of accidental factors are not considered while the bad and missing data are in the data processing of forecasting traffic flow. In the paper the forecasting model of short-term traffic flow based on wavelet and ARMA is improved by processing data with exponential smoothing (ES). And compared with the traditional model, the new model improves the prediction precision and provides a guideline for forecasting the traffic flow.
Keywords
autoregressive moving average processes; traffic control; transportation; wavelet transforms; ARMA; accidental factor; data processing; exponential smoothing; forecasting model; prediction precision; wavelet based short term traffic flow; Biological system modeling; Data models; Forecasting; Predictive models; Roads; Smoothing methods; Wavelet transforms; ARMA; forecast; traffic jlmvt; wavelet;
fLanguage
English
Publisher
ieee
Conference_Titel
Supply Chain Management and Information Systems (SCMIS), 2010 8th International Conference on
Conference_Location
Hong Kong
Print_ISBN
978-962-367-696-0
Type
conf
Filename
5681682
Link To Document