Hierarchical Dynamic Spatio-Temporal Graph Convolutional Networks with Self-Supervised Learning for Traffic Flow Forecasting

It is crucial for both traffic management organisations and individual commuters to be able to forecast traffic flows accurately. Graph neural networks made great strides in this field owing to their exceptional capacity to capture spatial correlations. However, existing approaches predominantly foc...

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Bibliografiske detaljer

Principais autores:	Siwei Wei, Yanan Song, Donghua Liu, Sichen Shen, Rong Gao, Chunzhi Wang
Format:	Artigo
Sprog:	Inglês
Udgivet:	MDPI AG 2024-09-01
Serier:	Inventions
Fag:	dynamic spatio-temporal graph regional graph self-supervised learning clustering traffic flow forecasting
Online adgang:	https://www.mdpi.com/2411-5134/9/5/102
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