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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Hlavní autoři:	Lecheng Li, Fei Dai, Bi Huang, Shuai Wang, Wanchun Dou, Xiaodong Fu
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2024-02-01
Edice:	Sensors
Témata:	traffic congestion prediction 3D convolution 3D residual unit self-attention mechanism spatio-temporal attention
On-line přístup:	https://www.mdpi.com/1424-8220/24/4/1261
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