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Safety analytics at a granular level using a Gaussian process modulated renewal model: A case study of the COVID-19 pandemic
With the advance of intelligent transportation system technologies, contributing factors to crashes can be obtained in real time. Analyzing these factors can be critical in improving traffic safety. Despite many crash models having been successfully developed for safety analytics, most models associ...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier Ltd.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9125007/ https://www.ncbi.nlm.nih.gov/pubmed/35623304 http://dx.doi.org/10.1016/j.aap.2022.106715 |