Investigating safety and liability of autonomous vehicles: Bayesian random parameter ordered probit model analysis
Purpose – This study aims to investigate the safety and liability of autonomous vehicles (AVs), and identify the contributing factors quantitatively so as to provide potential insights on safety and liability of AVs. Design/methodology/approach – The actual crash data were obtained from California D...
| Principais autores: | , , , |
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| Formato: | Artigo |
| Idioma: | English |
| Publicado em: |
Tsinghua University Press
2022-10-01
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| coleção: | Journal of Intelligent and Connected Vehicles |
| Assuntos: | |
| Acesso em linha: | https://www.emerald.com/insight/content/doi/10.1108/JICV-04-2022-0012/full/pdf?title=investigating-safety-and-liability-of-autonomous-vehicles-bayesian-random-parameter-ordered-probit-model-analysis |