Cyclic Air Braking Strategy for Heavy Haul Trains on Long Downhill Sections Based on Q-Learning Algorithm

Cyclic air braking is a key factor affecting the safe operation of trains on long downhill sections. However, a train’s cycle braking strategy is constrained by multiple factors such as driving environment, speed, and air-refilling time. A Q-learning algorithm-based cyclic braking strategy for a hea...

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Bibliografische gegevens

Hoofdauteurs:	Changfan Zhang, Shuo Zhou, Jing He, Lin Jia
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	MDPI AG 2024-05-01
Reeks:	Information
Onderwerpen:	heavy haul train long steep downhill cyclic braking Q-learning intelligent control
Online toegang:	https://www.mdpi.com/2078-2489/15/5/271
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