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A Combined Forecasting Model for Passenger Flow Based on GM and ARMA
Yunjian Jia,Peihua He,Shuguang Liu,Lei Cao 보안공학연구지원센터 2016 International Journal of Hybrid Information Techno Vol.9 No.2
In this paper, we first comparative analysis the existing prediction methods. Based on the GM and ARMA, we propose a new combined forecasting model which integrated the advantage of the GM is suitable for medium and long term forecast, the GM algorithm is simple and the ARMA is suitable for short time forecast. Moreover, we use the rail traffic data to verify this model. The results show that the combined forecasting model we proposed is of high forecast precision, and the combined forecasting model is better than the single forecasting model.