METHOD TO DETERMINE CONTEXTUAL ROAD CLEARANCE FOR ELECTRICAL VEHICLES

A system to determine a stranded electric vehicle resilience index of an area for an electric vehicle (EV) is disclosed. The system may use an API to determine areas in a region with minimal EV charging capabilities; generate a first trained machine learning model to predict a first probability for a given EV to be stranded in the areas based on a training feature dataset and the areas with minimal EV charging capabilities; label the areas as critical areas based on the first probability; generate a second trained machine learning model based on the labelled critical areas; and predict, using the second trained machine learning model and current features of a link to be traveled by the EV as derived from a map and one or more sensors along the link, a second probability for the EV to be stranded on the link.