Context-Aware Risk-Constrained Routing for Battery Electric Vehicles: Probabilistic Range and Arrival-Time Assurance in Dense Urban Networks
This study aims to evaluate whether context-dependent prediction and an explicit arrival-reserve chance constraint improve the reliability of battery electric vehicle (BEV) route decisions. The framework combines a physics-based energy backbone, grouped out-of-fold residual learning, split-conformal intervals and paire...