Rear End Crash

Rear-end collisions are a prevalent and dangerous type of traffic accident, prompting extensive research into their causes and prevention. Current research focuses on developing accurate models of pre-crash vehicle kinematics, incorporating driver behavior and vehicle dynamics to generate realistic crash scenarios for safety assessment of Advanced Driver-Assistance Systems (ADAS) and Automated Driving Systems (ADS). These models, often employing multivariate distributions and piecewise linear functions to capture diverse driver behaviors, are validated against real-world crash data to improve their accuracy and representativeness. Improved understanding of these scenarios will lead to better safety technologies and potentially reduce the frequency and severity of rear-end crashes.