Abstract: Autonomous vehicles (AVs) promise substantial gains in safety, reliability, and decarbonization, yet safe and efficient interaction in dynamic, heterogeneous traffic remains a key barrier to ...
Abstract: This study presents a quantitative framework for defining preventable boundaries in scenario-based assessments of Automated Driving Systems (ADS) grounded in a novel driver behavior model.