Optimizing collision safety restraint systems for diverse drivers using multi-objective analysis

Current restraint systems designed for average-sized male drivers are inadequate for protecting small-stature female drivers. The optimized restraint system parameters significantly improve safety performance for both genders, addressing an important gap in existing research. These findings have significant implications for reducing the design cost of vehicle restraint systems and enhancing driver safety.

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Publication Details

Journal
Traffic Injury Prevention
Published
2025-03-26
DOI
https://doi.org/10.1080/15389588.2025.2474152
Primary Topic
Autonomous Vehicle Technology and Safety
Type
article
Field-Weighted Citation Impact
0.00
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article

Optimizing collision safety restraint systems for diverse drivers using multi-objective analysis

Mengqi Li, Xiaobing Bu, Dongcheng Ren, Haitao Zhu
Traffic Injury Prevention
Autonomous Vehicle Technology and Safety
article

Optimizing collision safety restraint systems for diverse drivers using multi-objective analysis

Mengqi Li, Xiaobing Bu, Dongcheng Ren, Haitao Zhu
article en

Abstract

Current restraint systems designed for average-sized male drivers are inadequate for protecting small-stature female drivers. The optimized restraint system parameters significantly improve safety performance for both genders, addressing an important gap in existing research. These findings have significant implications for reducing the design cost of vehicle restraint systems and enhancing driver safety.

Traffic Injury PreventionVol. 26(8)
Hebei University of Technology (CN), China Automotive Technology and Research Center (CN)
Openalex Percentile: Top 95%
Autonomous Vehicle Technology and Safety
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