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Liu et al., 2023 - Google Patents

An adaptive traffic flow prediction model based on spatiotemporal graph neural network

Liu et al., 2023

Document ID
18165463225714980534
Author
Liu T
Zhang J
Publication year
Publication venue
The Journal of Supercomputing

External Links

Snippet

The traffic flow prediction task is essential to the urban intelligent transportation system. Due to the complex correlation of traffic flow data, insufficient use of spatiotemporal features will often lead to significant deviations in prediction results. This paper proposes an adaptive …
Continue reading at link.springer.com (other versions)

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