Congestion-Aware Charging Coordination for Electric Ride-Hailing Fleets under Stochastic Demand
The study developed a dynamic charging scheduling method that combines day-ahead planning with online reactive dispatch to optimize electric ride-hailing fleets under uncertain demand and congestion. The method maximizes profit by anticipating waiting times and energy replenishment costs, significantly outperforming benchmark policies in terms of profit and service rates.