Comparison and Analysis Between Holt Exponential Smoothing and Brown Exponential Smoothing Used for Freight Turnover Forecasts

Abstract

Nowadays, most of the of transportation demand forecast are using Brown exponential smoothing which is a kind of the time series prediction methods. But in practical situation, Brown exponential smoothing is greatly influenced by data, when the data is inappropriate value. The large deviation and poor accuracy of the predicted value will appeared. Through the research of Holt exponential smoothing forecast model, according to the case analysis, this article makes a compare with Brown exponential smoothing and analyzes the precision of the predicted value, wishing for an optimal demand forecasting method.