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...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Jiazhan Hu, Tao Feng
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2025-12-01
Schriftenreihe:	Mathematics
Schlagworte:	incomplete traffic forecasting intelligent transportation system spatial-temporal graph neural networks algorithms
Online-Zugang:	https://www.mdpi.com/2227-7390/13/24/4003
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