Graph Neural Networks and Open-Government Data to Forecast Traffic Flow
Traffic forecasting has been an important area of research for several decades, with significant implications for urban traffic planning, management, and control. In recent years, deep-learning models, such as graph neural networks (GNN), have shown great promise in traffic forecasting due to their...
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| Автори: | , , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
MDPI AG
2023-04-01
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| Серія: | Information |
| Предмети: | |
| Онлайн доступ: | https://www.mdpi.com/2078-2489/14/4/228 |
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