Prediction Method of Railway Passenger Flow Based on Grey Model
XIAN Min
MIAO Jiaona
Abstract：Based on the GM (1,1) prediction model, two different prediction models,the GM (1, 1) power model and the GM (1,1) model for buffer operator processing of the original data, are constructed in the paper.The Matalb modeling is applied to the prediction of the railway passenger flow and to the analysis of the prediction effect of oscillatory sequence of small and medium-sized samples.The example proves that the GM (1, 1) power model and the GM (1,1) model for buffer operator processing of the original data are better than the GM (1, 1) model in the application range and prediction precision, which is an effective calculation method for the nonlinear prediction of railway passenger flow and contributes to the decision-making of railway transportation.
Keywords：grey modelnonlinear sequencerailway passenger flowpredictionsequence operator
Publication Date：2017-01-01
Online Publishing Date：2026-05-22(First online date of this platform, not the publication date of the document)
Pages：5( 29-33 )