Federated learning-based edge computing for automatic train operation in communication-based train control systems
Author:
Funder
Beijing Natural Science Foundation
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11227-024-06075-z.pdf
Reference23 articles.
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2. Sun X, Niu L, Yan S (2019) Mpc-pi cascade control method for heavy-haul train. In: 2019 IEEE Intelligent Transportation Systems Conference (ITSC), pp 2527–2532
3. Caramia P, Lauro G, Pagano M, Natale P (2017) Automatic train operation systems: a survey on algorithm and performance index. In: 2017 AEIT International Annual Conference, pp 1–6
4. Yang J, Zhang Y, Jin Y (2021) Optimization of urban rail automatic train operation system based on rbf neural network adaptive terminal sliding mode fault tolerant control. Appl Syst Innov 4:51
5. Qiang FS, Tao H, Rui Z (2020) Ato recommended speed curve optimization based on artificial bee colony algorithm. In: 2020 5th International Conference on Information Science, Computer Technology and Transportation (ISCTT), pp 340–345
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