How Does the Pre-crash Environment Affect Injury Risk? Injury Prediction and Analysis Based on Graph Neural Network
Abstract
Injury severity in vehicle crashes is influenced by various factors within the pre-crash environment, including the environment, vehicle, driver, and other attributes.To investigate the relationships among these factors and identify the key determinants of injury outcomes, this study employed a graph neural network to model complex interactions and dependencies from a police-reported tabular database.The analysis revealed critical contributors to injury severity, uncovering the relationships among the variables in the pre-crash environment.These findings provide actionable insights for enhancing traffic safety and developing effective injury-prevention strategies.
Fields of Study & Subjects
Traffic and Road Safety
IoT and GPS-based Vehicle Safety Systems
Transportation Safety and Impact Analysis
Publication details
- Journal / source
- International Journal of Automotive Engineering
- Volume
- 17
- Issue
- 1
- Pages
- 15–21
- Publication date
- 1 January 2026
- Language
- EN