TEDDGN: a trend-event decoupled dynamic graph network for traffic forecasting
Accurate traffic flow prediction is of great significance for urban planning and traffic management. Among existing methods, researchers have shown remarkable progress by utilizing spatiotemporal networks. Unfortunately, most of these methods ignore the heterogeneity of multi-scale features in traff...
में बचाया:
| मुख्य लेखकों: | , , , |
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| स्वरूप: | Artigo |
| भाषा: | Inglês |
| प्रकाशित: |
Taylor & Francis Group
2026-01-01
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| श्रृंखला: | International Journal of Digital Earth |
| विषय: | |
| ऑनलाइन पहुंच: | https://www.tandfonline.com/doi/10.1080/17538947.2026.2656543 |
| टैग: |
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