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References

1 
I. Kim, “A Study on Replacement Cycle Estimation forthe Maintenance Parts of High-speed Railway Substation,” Seoul National University of Science and Technology, Master's thesis, 2014.URL
2 
K. Prag, M. Woolway, and T. Celik, “Toward Data-Driven Optimal Control:A Systematic Review of the Landscape,” IEEE Access, vol. 10, pp. 32190-32212, 2022.DOI
3 
I. Seo. “Energy Saving Strategy of Train Operation using Artificial Intelligence Technique,” Seoul National University of Technology, Master's thesis, 2010.URL
4 
S. Zhang, P. Huang, W. Yan, “A data-driven approach for railway in-train forces monitoring,” Advanced Engineering Informatics, vol 59, 2024.DOI
5 
Q. Pu, X. Zhu, R. Zhang, J. Liu, D. Cai, and G. Fu, “Speed Profile Tracking by an Adaptive Controller for Subway Train Based on Neural Network and PID Algorithm,” in IEEE Trans. on Vehicular Tech., vol. 69, no. 10, pp. 10656-10667, 2020.DOI
6 
Q. Pu, X. Zhu, J. Liu, D. Cai, G. Fu, D. Wei, J. Sun , R. Zhang, “Integrated Optimal Design of Speed Profile and Fuzzy PID Controller for Train With Multifactor Consideration,” IEEE Access, vol. 8, pp. 152146-152160, 2020.DOI