DocumentCode :
3457854
Title :
Research on Traffic Flow Fuzzy Time Series Forecasting Algorithm of Single Intersection
Author :
Ma Wen-ge ; Yan, YAN
Author_Institution :
Inf. Coll., Liaoning Univ. of Technol., Jinzhou, China
fYear :
2009
fDate :
7-9 Dec. 2009
Firstpage :
986
Lastpage :
988
Abstract :
Because of the highly nonlinear of the Traffic flow prediction, it is very difficult to build its model. In this paper an algorithm which is based on fuzzy time series forecasting, is used to overcome the difficulty. And we use Coil-based virtual video detectors detect the traffic flow as a input of fuzzy time series prediction, this can make the historical data collection faster and more accurate. The simulation proved it is better than others.
Keywords :
fuzzy set theory; road traffic; time series; transportation; coil based virtual video detectors; fuzzy time series forecasting algorithm; fuzzy time series prediction; traffic flow; Coils; Communication system traffic control; Detection algorithms; Educational institutions; Fuzzy control; Image sequences; Predictive models; Signal processing algorithms; Traffic control; Vehicle detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Innovative Computing, Information and Control (ICICIC), 2009 Fourth International Conference on
Conference_Location :
Kaohsiung
Print_ISBN :
978-1-4244-5543-0
Type :
conf
DOI :
10.1109/ICICIC.2009.316
Filename :
5412416
Link To Document :
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