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Su et al., 2023 - Google Patents

Spatial-temporal graph convolutional networks for traffic flow prediction considering multiple traffic parameters

Su et al., 2023

Document ID
14394542447579240024
Author
Su Z
Liu T
Hao X
Hu X
Publication year
Publication venue
The Journal of Supercomputing

External Links

Snippet

Timely and accurate large-scale traffic prediction has gained increasing importance for traffic management. However, it is a challenging task due to the high nonlinearity of traffic flow and complex network topology. This study aims to develop a large-scale traffic flow prediction …
Continue reading at link.springer.com (other versions)

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    • G06—COMPUTING; CALCULATING; COUNTING
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