Spatiotemporal Graph Convolutional Network for Multi-Scale Traffic Forecasting

Benefiting from the rapid development of geospatial big data-related technologies, intelligent transportation systems (ITS) have become a part of people’s daily life. Traffic volume forecasting is one of the indispensable tasks in ITS. The spatiotemporal graph neural network has attracted attention...

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Hlavní autoři:	Yi Wang, Changfeng Jing
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2022-02-01
Edice:	ISPRS International Journal of Geo-Information
Témata:	traffic volume forecasting fine-grained spatiotemporal feature multiple-scale feature spatiotemporal graph neural network
On-line přístup:	https://www.mdpi.com/2220-9964/11/2/102
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