Forecast of Freight Volume in Xi’an Based on Gray GM (1, 1) Model and Markov Forecasting Model

Due to the continuous improvement of productivity, transportation demand freight volume is also increasing. It difficult organize efficiently when quite large. Therefore, predicting total amount goods transported essential in order ensure efficient and orderly transportation. Aiming at optimizing forecast volume, this paper predicts Xi’an based on Gray GM (1, 1) model Markov forecasting model. Firstly, established related data from 2000 2008. Then, corresponding time sequence expression restore value can be attained by determining parameters, so as obtain gray values Xi’an’s 2009 2013. In combination with chain process, random state divided into three categories. By transition probability matrix, each predicted median obtained. Finally, revised Gray–Markov 2013 are calculated. proved theory practice that has high accuracy provide relevant policy bases for traffic management department Xi’an.