Multi-objective optimization and biomechanical injury analysis of rear-seat occupant restraint systems in small overlap collision
Abstract
In small overlap collision, rear-seat occupants face elevated injury risks. This study conducts multi-objective optimization of the rear-seat occupant restraint system to reduce these injury risks and enhance overall vehicle safety performance . Based on real-world traffic accident data, a full-vehicle crash simulation model was established and validated with the actual injury data. Weighted injury criteria (WIC) and neck injury metrics ( N i j ) were selected as optimization objectives. The rear-seat restraint system was optimized using NSGA-II and TOPSIS algorithms to determine the optimal parameter configurations. The optimized parameters were subsequently reintegrated into the simulation model for validation. The results demonstrate a significant reduction in occupant injuries, with WIC and N i j reduced by 30.3% and 20.7%, respectively.
Fields of Study & Subjects
Automotive and Human Injury Biomechanics
Transportation Safety and Impact Analysis
Cellular and Composite Structures
Publication details
- Journal / source
- Theoretical and Applied Mechanics Letters
- Publisher
- Elsevier BV
- Volume
- 16
- Issue
- 1
- Pages
- 100661–100661
- Publication date
- 1 January 2026
- Language
- EN