Bridging the Gender Gap in Vehicle Safety
Research project analyzing real-world crash data to investigate whether modern vehicle safety systems protect different passenger groups equally. Focused on identifying differences in injury outcomes across gender, age, BMI, and pregnancy status.
Presentation Slides
The Challenge
Studies show belted female drivers face a 47% higher risk of severe injuries compared to males in similar crashes. Vehicle safety systems have historically been designed using male crash test dummies, potentially leaving vulnerable groups underprotected.
Our Solution
Developed a Python-based software to process and visualize crash data from CISS and NASS-CDS databases. Used descriptive and Bayesian data analysis to identify correlations between body compositions and injury patterns across demographics including pregnant occupants, children, teenagers, and individuals with varying height and BMI.
Results & Outcomes
Comprehensive crash data analysis
Evidence-based safety insights
Contributing to gender equality in engineering
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