Train Time Delay Prediction for High-Speed Train Dispatching Based on Spatio-Temporal Graph Convolutional Network

Train delay prediction can improve the quality of train dispatching, which helps the dispatcher to estimate the running state of the train more accurately and make reasonable dispatching decision. The delay of one train is affected by many factors, such as passenger flow, fault, extreme weather, dis...

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Bibliographic Details
Main Authors:	Peng, Y. (Author), Wang, H. (Author), Wu, D. (Author), Zhang, D. (Author), Zhang, H. (Author), Zhang, Y. (Author)
Format:	Article
Language:	English
Published:	Institute of Electrical and Electronics Engineers Inc. 2022
Subjects:	collective cumulative effect Collective cumulative effect Convolution Convolutional networks Cumulative effects Deep learning Delay predictions Forecasting graph convolutional network Graph convolutional network Railroad cars Railroad transportation Railroads Spatio-temporal spatio-temporal dependence Spatio-temporal dependence Temporal dependence Time delay Timing circuits Train delay Train delay prediction
Online Access:	View Fulltext in Publisher

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View Fulltext in Publisher

Train Time Delay Prediction for High-Speed Train Dispatching Based on Spatio-Temporal Graph Convolutional Network

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