A deep neural network model with GCN and 3D convolutional network for short‐term metro passenger flow forecasting

A deep neural network model with GCN and 3D convolutional network for short‐term metro passenger flow forecasting

Abstract Rail transit has many advantages, such as large passenger capacity, convenience, safety, and environmental protection, making it the preferred travel mode for most passengers. Deep learning has become an effective method for short‐term rail passenger flow prediction. A deep learning model w...

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Bibliographic Details
Main Authors: Xuanrong Zhang, Cheng Wang, Jianwei Chen, Ding Chen
Format: Article
Language:English
Published: Wiley 2023-08-01
Series:IET Intelligent Transport Systems
Subjects:
artificial intelligence
convolution
convolutional neural nets
neural nets
rail traffic
Online Access:https://doi.org/10.1049/itr2.12352

Internet

https://doi.org/10.1049/itr2.12352

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