Meta-Probabilistic Stacking for Eco-Driving Behavior Profiling
Automated driver behavior profiling is a strategically important problem within intelligent transportation systems, road safety engineering, and fleet-based emissions governance. This study presents a Heterogeneous Out-of-Fold (OOF) Stacking Ensemble augmented with inter-model probabilistic disagreement as a first-clas...