Goal-Driven Approach to Optimize Matching Mechanism in Electric Vehicles Ride-Sharing System

Abstract

Abstract Electric vehicles (EVs) play an important role in the automobile market in recent years. And carsharing system is increasingly attracting people's attention. It's a sustainable and innovative solution to solve transportation issues. Ride-sharing is a car (EVs) service which a person can use a third-party software to arrange a ride. Electric vehicles ride-sharing plays a prime role in shared service because of its environment friendly attributes. Especially, EVs ride-sharing systems offer a high level of travel experience because they provide users with fast and convenient service. In addition, users who participate in the EVs ride-sharing system would share rides to save time and money, and reduce environmental impacts. User matching mechanism is one of the important research issues in EVs ride-sharing system. The current user matching mechanism in EVs ride-sharing system is mainly in the perspective of one single subject, such as the government or rental operators. However, in reality, the EVs ride-sharing mechanism needs to be optimized with multi perspective. We will establish a multi-objective dynamic user matching mechanism in the context of the shared service model in Beijing City. In this mechanism, we consider multi objectives and utilize time windows as constraints which represent customers’ preference. So as to further improve the EVs ride-sharing services and enhance the operational efficiency of shared services model.