A multi-dimensional attention-based framework for personalized driver fatigue assessment for proactive commercial-vehicle crash prevention.
Driver fatigue is a major safety concern in commercial vehicle operations, yet conventional detection approaches often rely on fixed driving-time thresholds that overlook inter-driver variability, cumulative effects across trips, and contextual differences. This study proposes a multi-dimensional, context-aware fatigue...