Freight volume combined prediction of Changjiang River main line based on improved Grey model

Quan Wen; Lei Li

doi:10.1117/12.2623845

6 February 2022 Freight volume combined prediction of Changjiang River main line based on improved Grey model

Quan Wen, Lei Li

Author Affiliations +

Proceedings Volume 12081, Sixth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2021); 120812E (2022) https://doi.org/10.1117/12.2623845
Event: Sixth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2021), 2021, Chongqing, China

Abstract

Based on the freight volume data of the Changjiang River main line from 2005 to 2020, the grey system GM(1,1) model, the quadratic exponential smoothing GM(1,1) model, and the trend extrapolation method are proposed to predict freight volume of the Changjiang River main line. According to those methods, the historical data are calculated by Matlab software and those results are compared and analyzed. At last, the residual periodic correction method is used to correct the predicted results of models, and the final predicted results from 2021 to 2025 are obtained by the combined weighting of previous selected models’ predicted results.

Citation Download Citation

Quan Wen and Lei Li "Freight volume combined prediction of Changjiang River main line based on improved Grey model", Proc. SPIE 12081, Sixth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2021), 120812E (6 February 2022); https://doi.org/10.1117/12.2623845

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