Short-term urban traffic forecasting in smart cities: a dynamic diffusion spatial-temporal graph convolutional network
Abstract Short-term traffic forecasting is an important part of intelligent transportation systems. Accurately predicting short-term traffic trends can avoid traffic congestion and plan travel routes, which is of great significance to urban management and traffic scheduling. The difficulty of short-...
Gorde:
| Egile Nagusiak: | , , , , |
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| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
Springer
2025-01-01
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| Saila: | Complex & Intelligent Systems |
| Gaiak: | |
| Sarrera elektronikoa: | https://doi.org/10.1007/s40747-024-01769-6 |
| Etiketak: |
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