An Explainable Spatial Analytics and Machine Learning Framework for Highway–Rail Grade Crossing Safety Assessment
Highway–rail grade crossing (HRGC) incidents remain a persistent safety concern due to repeated interactions between roadway users and rail operations under varying environmental and operational conditions. Existing studies rely on raw incident counts or partial exposure measures that can be influen...
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
MDPI AG
2026-06-01
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| Col·lecció: | Applied Sciences |
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| Accés en línia: | https://www.mdpi.com/2076-3417/16/12/5968 |
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