Adaptive restraint design for a diverse population through machine learning.
Frontiers in public health(2023)
摘要
This study lays out a method to adaptively adjust vehicle restraint systems to improve safety balance. This is the first study where population-based crash simulations and machine-learning methods are used to optimize adaptive restraint designs for a diverse population. Nevertheless, this study shows the high injury risks associated with obese and female occupants, which can be mitigated via restraint adaptability.
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关键词
adaptive restraint design,diverse population,machine learning
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