Car-sharing, electrification, and autonomous driving are greatly revolutionizing the future of the transportation system. This study proposes a location routing problem for the car-sharing system with autonomous electric vehicles to determine optimal station location and vehicle routing, where each station is both a depot and a charging station. A mathematical model is formulated and then extended to three variants, while simultaneously considering different recharging and service options. The proposed mixed-integer nonlinear models are separately solved by general algebraic modeling system (GAMS) and genetic algorithm (GA), and the efficiency of the GA is demonstrated. The comparative experimental results of instances are presented, and the benefits of allowing partial recharge are obtained. More significant savings in cost can be achieved if partial service is simultaneously allowed. Furthermore, the trade-off between the operator’s interests and the interests of users, as well as the operator’s immediate profits and future profits, are explored through sensitivity analysis.

共享汽车，电气化和自动驾驶正在极大地改变交通系统的未来。这项研究提出了具有自主电动车辆的汽车共享系统的位置路由问题，以确定最佳的站点位置和车辆路由，其中​​每个站点既是仓库又是充电站。建立了数学模型，然后将其扩展为三个变体，同时考虑了不同的充电和服务选项。提出的混合整数非线性模型分别用通用代数建模系统（GAMS）和遗传算法（GA）求解，并证明了GA的有效性。给出了实例的对比实验结果，并获得了允许部分充电的好处。如果同时允许部分服务，则可以节省更多的成本。此外，通过敏感性分析探索了运营商利益与用户利益之间的权衡，以及运营商的直接利润和未来利润。