Spatial-Temporal Dynamic Graph Convolutional Neural Network for Traffic Prediction

Due to the complexity and dynamics of transportation systems, traffic prediction has become a challenging task. The accuracy of prediction is influenced by the spatial-temporal correlation within the traffic system. Previous approaches mainly relied on a pre-defined static adjacency matrix combined...

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Egile Nagusiak:	Wenjuan Xiao, Xiaoming Wang
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	IEEE 2023-01-01
Saila:	IEEE Access
Gaiak:	Traffic prediction spatial-temporal dynamic graph dynamic adjacency matrix graph convolutional neural network
Sarrera elektronikoa:	https://ieeexplore.ieee.org/document/10242098/
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