Title :
Research on the prediction model to the highway transportation demand based on moving average and grey theory
Author :
Yin Ying ; Chen Sen-fa
Author_Institution :
Southeast Univ., Nanjing
Abstract :
The forecast to the demand of the highway transportation is extremely important theoretically and practically since the road is the national infrastructure. The traditional methods of prediction have been analyzed, and their shortcomings in the road forecast have been pointed out. Then it is suggested that the grey prediction takes advantages on the transportation forecast. The article unifies the moving average to the grey prediction, in order to raising is accuracy concerned about changing of the initial condition. At last, it has been shown that the method improved is better through predicting the demand of 2,005 -2010 highway transportation.
Keywords :
forecasting theory; grey systems; roads; transportation; grey theory; highway transportation demand; moving average; national infrastructure; prediction model; road forecast; Demand forecasting; Economic forecasting; Economic indicators; Elasticity; Intelligent transportation systems; Investments; Predictive models; Road transportation; Smoothing methods; Springs;
Conference_Titel :
Grey Systems and Intelligent Services, 2007. GSIS 2007. IEEE International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-1294-5
Electronic_ISBN :
978-1-4244-1294-5
DOI :
10.1109/GSIS.2007.4443371