Reward-based Charging Schedule for a Community-based Ride-sharing Service

This paper presents the design, implementation, and evaluation of a scalable charging scheduling algorithm for a proactive, Smart Energy Community-based, carbon-neutral ridesharing service. The reward-based algorithm incorporates multiple constraints, including energy usage, vehicle distribution, route planning, passenger-to-vehicle matching, and charging station availability. The solution approach builds on considerations from a previous study on a carbon-neutral, Smart Energy Community-based, reactive ride-sharing service, ensuring efficient scheduling of electric vehicle chargings. The results reveal up to a 10% improvement in the number of trips being served, concluding that the proposed algorithm contributes to the optimisation of the ride-sharing service, while maintaining its efficiency and scalability.