Train Regenerative Braking Strategy Optimization Based on Reinforcement Learning

Author:

Zeng Xiaoqing,Liu Liqun,Yuan TengfeiORCID

Publisher

Springer Nature Singapore

Reference14 articles.

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3. Oshima, H., Yasunobu, S., Sekino, S.I.: Automatic train operation system based on predictive fuzzy control. In: Proceedings of the International Workshop on Artificial Intelligence for Industrial Applications, 1988. IEEE AI’88. IEEE, pp. 485–489 (1988)

4. Miyatake, M., Ko, H.: Optimization of train speed profile for minimum energy consumption. IEEJ Trans. Electr. Electron. Eng. 5(3), 263–269 (2010)

5. Domínguez, M., Fernández-Cardador, A., Cucala, A.P., et al.: Multi objective particle swarm optimization algorithm for the design of efficient ATO speed profiles in metro lines. Eng. Appl. Artif. Intell. 29, 43–53 (2014)

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