Short-term train arrival delay prediction: a data-driven approach

Short-term train arrival delay prediction: a data-driven approach

Purpose – To optimize train operations, dispatchers currently rely on experience for quick adjustments when delays occur. However, delay predictions often involve imprecise shifts based on known delay times. Real-time and accurate train delay predictions, facilitated by data-driven neural network mo...

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Bibliographic Details
Main Authors:	Qingyun Fu, Shuxin Ding, Tao Zhang, Rongsheng Wang, Ping Hu, Cunlai Pu
Format:	Article
Language:	English
Published:	Emerald Publishing 2024-08-01
Series:	Railway Sciences
Subjects:	Train delay prediction Intelligent dispatching command Deep learning Convolutional neural network Long short-term memory Attention mechanism
Online Access:	https://www.emerald.com/insight/content/doi/10.1108/RS-04-2024-0012/full/pdf
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