Learning to reschedule platforms: A graph neural network based deep reinforcement learning method for the train platforming and rescheduling problem

•A novel deep reinforcement learning framework for the Train Platforming and Rescheduling Problem.•Integrating the microscopic simulation into the deep reinforcement learning framework.•High solution quality competitive with modern heuristics.•High and stable solving efficiency, regardless of the se...

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Bibliographic Details

Published in:	Transportation research. Part C, Emerging technologies Vol. 183; p. 105453
Main Authors:	Zhang, Hongxiang, D’Ariano, Andrea, Zhu, Yongqiu, Wu, Yaoxin, Hu, Liuyang, Lu, Gongyuan
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.02.2026
Subjects:	Deep reinforcement learning Graph neural network Neural combinatorial optimization Train platforming Train rescheduling Neural combinatorial optimization Train rescheduling Deep reinforcement learning Train platforming Graph neural network
ISSN:	0968-090X
Online Access:	Get full text
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