Author(s)

Meng Xiao ¹, Wenjun Li ²

Affiliation(s)

¹ School of Mathematics and Big Data, Chongqing University of Science and Technology, Chongqing, 401331
² School of Engineering, Queen Mary University of London, Northwestern Polytechnical University, Xi'an, Shaanxi, 710129

Corresponding Author

Meng Xiao

ABSTRACT

In order to forecast China's railway freight volume scientifically, this paper uses ARIMA model and R-studio software to analyze China's railway freight volume from 1949 to 2008 in detail, and takes the data of China's railway freight volume from 1999 to 2008 as the test set and compares it with the predicted value of the model. The results show that the error between the predicted value and the real value of the ARIMA model with drift term is smaller, it can provide more accurate prediction results, has high feasibility and credibility, and can effectively make a reasonable forecast of China's railway freight volume in the future, and provide a reliable basis for its development.

KEYWORDS

ARIMA model, railway freight volume, time series, prediction

CITE THIS PAPER

Meng Xiao, Wenjun Li. Evaluation and Innovative Research on the use of Existing anti-lost Devices. Industrial Engineering and Innovation Management (2021) 4: 56-60. DOI: http://dx.doi.org/10.23977/ieim.2021.040108

REFERENCES

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