Railway Passenger Flow Volume Prediction Model Analysis Based on Cobb-Douglas Function

Abstract

A prediction model of train passenger flow volume is proposed in this article to help the railway administration's analysis of running strategies. The model is analysed based on industrial economic indexes and Cobb-Douglas theory to make the prediction. The model is illustrated by applying it to a numeral example, and the analysis of the error rate is made for further research.