Predicting Traffic Flow Using Dynamic Spatial-Temporal Graph Convolution Networks

Traffic flow prediction plays a key role in the construction of intelligent transportation system. However, due to its complex spatio-temporal dependence and its uncertainty, the research becomes very challenging. Most of the existing studies are based on graph neural networks that model traffic flo...

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Vydáno v:	Computers, materials & continua Ročník 78; číslo 3; s. 4343 - 4361
Hlavní autoři:	Liu, Yunchang, Wan, Fei, Liang, Chengwu
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Henderson Tech Science Press 2024
Témata:	Algorithms Artificial neural networks Convolution Flow graphs Graph neural networks Intelligent transportation systems Nodes Predictions Spatiotemporal data Traffic flow Traffic models Transportation networks
ISSN:	1546-2226, 1546-2218, 1546-2226
On-line přístup:	Získat plný text
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