Adaptive restraint design for a diverse population through machine learning

OBJECTIVE: Using population-based simulations and machine-learning algorithms to develop an adaptive restraint system that accounts for occupant anthropometry variations to further enhance safety balance throughout the whole population. METHODS: Two thousand MADYMO full frontal impact crash simulati...

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Detalles Bibliográficos
Autores principales: Sun, Wenbo, Liu, Jiacheng, Hu, Jingwen, Jin, Judy, Siasoco, Kevin, Zhou, Rongrong, Mccoy, Robert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Public Health
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10448517/
https://www.ncbi.nlm.nih.gov/pubmed/37637800
http://dx.doi.org/10.3389/fpubh.2023.1202970

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10448517/
https://www.ncbi.nlm.nih.gov/pubmed/37637800
http://dx.doi.org/10.3389/fpubh.2023.1202970

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