A hybrid deep learning approach for real-time estimation of passenger traffic flow in urban railway systems

A hybrid deep learning approach for real-time estimation of passenger traffic flow in urban railway systems

This research introduces a hybrid deep learning approach to perform real-time forecasting of passenger traffic flow for the metro railway system (MRS). By integrating long short-term memory (LSTM) and the graph convolutional network (GCN), a hybrid deep learning neural network named the graph convol...

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書目詳細資料
Main Authors:	Fu, Xianlei, Wu, Maozhi, Ponnarasu, Sasthikapreeya, Zhang, Limao
其他作者:	School of Civil and Environmental Engineering
格式:	Article
語言:	English
出版:	2023
主題:	Engineering::Civil engineering Traffic Volume Prediction Deep Learning
在線閱讀:	https://hdl.handle.net/10356/171692
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Nanyang Technological University
語言:	English

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