AST3DRNet: Attention-Based Spatio-Temporal 3D Residual Neural Networks for Traffic Congestion Prediction

Traffic congestion prediction has become an indispensable component of an intelligent transport system. However, one limitation of the existing methods is that they treat the effects of spatio-temporal correlations on traffic prediction as invariable during modeling spatio-temporal features, which r...

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Autori principali:	Lecheng Li, Fei Dai, Bi Huang, Shuai Wang, Wanchun Dou, Xiaodong Fu
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2024-02-01
Serie:	Sensors
Soggetti:	traffic congestion prediction 3D convolution 3D residual unit self-attention mechanism spatio-temporal attention
Accesso online:	https://www.mdpi.com/1424-8220/24/4/1261
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