DocumentCode :
2949744
Title :
Forecast of Yangtze River Water Traffic Accidents Based on GM(1,1) Model
Author :
Min, Deng ; Qing, Liu
Author_Institution :
Sch. of Transp., Wuhan Univ. of Technol., Wuhan, China
fYear :
2011
fDate :
20-21 Aug. 2011
Firstpage :
276
Lastpage :
278
Abstract :
The gray prediction method (grey model) is a system containing uncertainty method for prediction. This article describes the typical gray prediction model GM (1,1), the Yangtze River water traffic accidents according to statistics using GM (1,1) model to predict the amount of water accidents, to verify the accuracy of forecasting methods, and to forecast future traffic volume.
Keywords :
forecasting theory; grey systems; rivers; traffic; Yangtze river water traffic accident; forecasting method; future traffic volume forecasting; gray prediction method; grey model; typical gray prediction model; uncertainty method; Accidents; Accuracy; Correlation; Forecasting; Mathematical model; Predictive models; Rivers; 1); GM (1; Yangtze River; accident prediction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligence Science and Information Engineering (ISIE), 2011 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4577-0960-9
Electronic_ISBN :
978-0-7695-4480-9
Type :
conf
DOI :
10.1109/ISIE.2011.36
Filename :
5997434
Link To Document :
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