Modeling freight truck-related traffic crash hazards with uncertainties: A framework of interpretable Bayesian neural network with stochastic variational inference
Due to the increasing demand for goods movement, externalities from freight mobility have attracted much concern among local citizens and policymakers. Freight truck-related crash is one of these externalities and impacts urban freight transportation most drastically. Previous studies have mainly fo...
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| Autors principals: | , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
KeAi Communications Co., Ltd.
2024-09-01
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| Col·lecció: | International Journal of Transportation Science and Technology |
| Matèries: | |
| Accés en línia: | http://www.sciencedirect.com/science/article/pii/S2046043023000734 |
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