Learning the City’s Hidden Danger: A Continuous Hazard Field Intelligence Framework for Traffic Accident Emergence and Urban Safety Prediction
Urban traffic accidents emerge from complex interactions among traffic instability, roadway structure, environmental disturbance, and temporal dynamics, yet many existing prediction approaches still treat accident risk as a discrete classification problem over isolated observations. This study propo...
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| Автори: | , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
MDPI AG
2026-05-01
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| Серія: | Urban Science |
| Предмети: | |
| Онлайн доступ: | https://www.mdpi.com/2413-8851/10/6/300 |
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