A Full Service Model for Vehicle Scheduling in One-Way Electric Vehicle Car-Sharing Systems

The optimization of vehicle scheduling problem in electric vehicle (EV) Car-Sharing systems has always been a hotspot with the rapid development of EVs these years. In this paper, a research and design of full service model based on vehicle recommendation and scheduling algorithm for EV Car-Sharing systems has been presented. It leads to efficient vehicle management when there are needs to control cars in the whole station network and recommend appropriate vehicle to customers. Based on the IOV (Internet of Vehicles) Platform for EV Operation and Service, a new algorithm of vehicle recommendation and scheduling strategy for Car-Sharing systems is proposed that this problem can be regarded as a multi-objective optimization model. Through the analysis of EV Car-Sharing system model, factors like time matching, station recommendation, vehicle utilization and customer satisfaction have been discussed and data sharing is also the superiority in our full service model, compared with the controlled service model and conditional service model. Meanwhile, the algorithm has been simulated and verified in the station network model of GreenGo Car-Sharing system, which is a fast developing electric Car-Sharing project in Beijing. The simulation results have demonstrated that the proposed algorithm is efficient.