Investigating two-wheelers risk factors for severe crashes using an interpretable machine learning approach and SHAP analysis
The use of two-wheelers (TWs) has gained popularity as an alternative to personal vehicles due to their flexibility, fuel economy, ease of parking, and size, especially in congested cities. However, TWs are considered vulnerable road users due to their higher riding risk compared to other modes. Thi...
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| Автор: | |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
Elsevier
2023-10-01
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| Серія: | IATSS Research |
| Предмети: | |
| Онлайн доступ: | http://www.sciencedirect.com/science/article/pii/S0386111223000353 |
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