TFGCRN: Temporal–Frequency Graph Convolutional Recurrent Network for Incomplete Traffic Forecasting

Traffic forecasting is a crucial component that underpins an intelligent transportation system. Among the current mainstream forecasting algorithms, spatial–temporal graph neural networks (STGNNs), as the mainstream solution, have been used in traffic forecasting due to their ability to model spatia...

Celý popis

Podrobná bibliografie

Hlavní autoři:	Jiazhan Hu, Tao Feng
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2025-12-01
Edice:	Mathematics
Témata:	incomplete traffic forecasting intelligent transportation system spatial-temporal graph neural networks algorithms
On-line přístup:	https://www.mdpi.com/2227-7390/13/24/4003
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!