Unifying spatiotemporal and frequential attention for traffic prediction
Abstract Intelligent transportation systems heavily rely on forecasting urban traffic flow, and a variety of approaches have been developed for this purpose. However, most current methods focus on exploring spatial and temporal dependencies in historical traffic data, while often overlooking the inh...
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| Hoofdauteurs: | , , , |
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| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
Nature Portfolio
2025-01-01
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| Reeks: | Scientific Reports |
| Onderwerpen: | |
| Online toegang: | https://doi.org/10.1038/s41598-024-82759-z |
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