Abstract
In recent years, the railway container transportation is developing rapidly, and containerized cargo will implement container transportation. In order to predict the development trend of container transport volume, a prerequisite and basis for the right to develop railway container transportation development strategy is needed. In this paper, the gray prediction model for railway container traffic is used to predict the national rail container traffic volume with the method of gray forecasting with the help of MATLAB. The prediction results show that the gray prediction model has a high degree of accuracy.
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