Computational Investigation of Rear-Seat Occupant Protection for Mid-Sized Males in High-speed Frontal Crashes

Abstract The advancements in vehicle safety have mainly focused on front-seat occupants. With an increasing focus on autonomous mobility, there is a considerable need to improve occupant protection in rear-seats. This study presents a computational investigation to evaluate the safety performance of modern vehicle rear seats. Full-body injury risks were calculated for mid-sized male occupants seated in the rear seat during frontal crashes, employing the Global Human Body Models Consortium (GHBMC) 50th male (M50-O) human body model (HBM). Four modern vehicle rear-seat models, including both conventional and advanced restraint systems, were evaluated under New Car Assessment Program (NCAP) crash pulse (ΔV of 56 kph). Injury risks for the human body regions were analyzed, with particular attention to the risk of submarining, where the pelvis slips beneath the lap belt during high-speed crashes. The predictions of FE simulations showed agreement against post-mortem human surrogate (PMHS) test data in terms of occupant kinematics and injury predictions. While some kinematic differences were observed between the GHBMC model and PMHS data, particularly in vertical excursions, the HBM successfully captured the submarining response across different seat designs. This indicates that the GHBMC model provides a tool for assessing rear-seat injury risks. The overall risk of serious injury ranged from ~60% to nearly certain, highlighting a significant room for improvement in rear-seat safety. Advanced restraint systems and steeper seat pan angles showed to have potential to reduce injury risks, though other factors play a role as well.

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Publication Details

Journal
Journal of Biomechanical Engineering
Published
2026-10-08
DOI
https://doi.org/10.1115/1.4072739
Primary Topic
Automotive and Human Injury Biomechanics
Type
article
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article

Computational Investigation of Rear-Seat Occupant Protection for Mid-Sized Males in High-speed Frontal Crashes

Costin Daniel Untaroiu, Akshay Dahiya
Journal of Biomechanical Engineering
Automotive and Human Injury Biomechanics
article

Computational Investigation of Rear-Seat Occupant Protection for Mid-Sized Males in High-speed Frontal Crashes

Costin Daniel Untaroiu, Akshay Dahiya
article en

Abstract

Abstract The advancements in vehicle safety have mainly focused on front-seat occupants. With an increasing focus on autonomous mobility, there is a considerable need to improve occupant protection in rear-seats. This study presents a computational investigation to evaluate the safety performance of modern vehicle rear seats. Full-body injury risks were calculated for mid-sized male occupants seated in the rear seat during frontal crashes, employing the Global Human Body Models Consortium (GHBMC) 50th male (M50-O) human body model (HBM). Four modern vehicle rear-seat models, including both conventional and advanced restraint systems, were evaluated under New Car Assessment Program (NCAP) crash pulse (ΔV of 56 kph). Injury risks for the human body regions were analyzed, with particular attention to the risk of submarining, where the pelvis slips beneath the lap belt during high-speed crashes. The predictions of FE simulations showed agreement against post-mortem human surrogate (PMHS) test data in terms of occupant kinematics and injury predictions. While some kinematic differences were observed between the GHBMC model and PMHS data, particularly in vertical excursions, the HBM successfully captured the submarining response across different seat designs. This indicates that the GHBMC model provides a tool for assessing rear-seat injury risks. The overall risk of serious injury ranged from ~60% to nearly certain, highlighting a significant room for improvement in rear-seat safety. Advanced restraint systems and steeper seat pan angles showed to have potential to reduce injury risks, though other factors play a role as well.

Journal of Biomechanical Engineering
Virginia Tech (US)
Openalex Percentile: Top 12%
Automotive and Human Injury Biomechanics
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