MFDGCN: Multi-Stage Spatio-Temporal Fusion Diffusion Graph Convolutional Network for Traffic Prediction

Traffic prediction is a popular research topic in the field of Intelligent Transportation System (ITS), as it can allocate resources more reasonably, relieve traffic congestion, and improve road traffic efficiency. Graph neural networks are widely used in traffic prediction because they are good at...

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書誌詳細

主要な著者:	Zhengyan Cui, Junjun Zhang, Giseop Noh, Hyun Jun Park
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2022-03-01
シリーズ:	Applied Sciences
主題:	traffic prediction spatio-temporal prediction graph convolutional network temporal convolutional network multi-head attention
オンライン･アクセス:	https://www.mdpi.com/2076-3417/12/5/2688
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