Prediction of the optimal hybrid train trajectory by using artificial neural network models

Abstract This paper presents the development and validation of two artificial neural networks (ANN) models, utilising time and power‐based architectures, to accurately predict key parameters of a hydrogen hybrid train profile and its optimal trajectory. The research employs a hybrid train simulator...

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Váldodahkkit:	Tajud Din, Zhongbei Tian, Syed Muhammad Ali Mansur Bukhari, Misbahud Din, Stuart Hillmansen, Clive Roberts
Materiálatiipa:	Artigo
Giella:	Inglês
Almmustuhtton:	Wiley 2024-05-01
Ráidu:	IET Intelligent Transport Systems
Fáttát:	rail transportation railway electrification railway rolling stock railways
Liŋkkat:	https://doi.org/10.1049/itr2.12472
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