LSTM-Based Transformer for Transfer Passenger Flow Forecasting between Transportation Integrated Hubs in Urban Agglomeration

A crucial component of multimodal transportation networks and long-distance travel chains is the forecasting of transfer passenger flow between integrated hubs in urban agglomerations, particularly during periods of high passenger flow or unusual weather. Deep learning is better suited to managing m...

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Bibliografiske detaljer

Principais autores:	Min Yue, Shuhong Ma
Format:	Artigo
Sprog:	Inglês
Udgivet:	MDPI AG 2023-01-01
Serier:	Applied Sciences
Fag:	transfer passenger flow forecasting transformer deep learning long short-term memory multimodal transportation system
Online adgang:	https://www.mdpi.com/2076-3417/13/1/637
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