Deep Q-Network Algorithm-Based Cyclic Air Braking Strategy for Heavy-Haul Trains

Cyclic air braking is a key element for ensuring safe train operation when running on a long and steep downhill railway section. In reality, the cyclic braking performance of a train is affected by its operating environment, speed and air-refilling time. Existing optimization algorithms have the pro...

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書誌詳細

出版年:	Algorithms
主要な著者:	Changfan Zhang, Shuo Zhou, Jing He, Lin Jia
フォーマット:	論文
言語:	英語
出版事項:	MDPI AG 2024-04-01
主題:	heavy-haul train long and steep downhill cyclic air braking DQN intelligent control
オンライン･アクセス:	https://www.mdpi.com/1999-4893/17/5/190