Shared autonomous vehicles (SAVs) are the next major evolution in urban mobility. This technology has attracted much interest of car manufacturers aiming at playing a role as transportation network companies (TNCs) and carsharing agencies in order to gain benefits per kilometer and per ride. It is predicted that the majority of future SAVs would most probably be electric. It is therefore important to understand how limited vehicle range and the configuration of charging infrastructure will affect the performance of shared autonomous electric vehicle (SAEV) services. In this study, we aim to explore the impacts of charging station placement, charging types (including normal and rapid charging, and battery swapping), and vehicle battery capacities on service efficiency. We perform an agent-based simulation of SAEVs across the Rouen Normandie metropolitan area in France. The simulation process features impact assessment by considering dynamic demand responsive to the network and traffic.

Research results suggest that the performance of SAEVs is strongly correlated with the charging infrastructure. Importantly, faster charging infrastructure and placement of charging locations according to minimized distances between demand hubs and charging stations result in a higher performance. Further analysis indicates the importance of dispersing charging stations across the service area and its impacts on service effectiveness. The results also underline that SAEV battery capacity has to be selected carefully such that to avoid the overlaps between demand and charging peak times. Finally, the simulation results show that the performance indicators of SAEV service are significantly improved by providing battery swapping infrastructure.

共享自动驾驶汽车（SAV）是城市出行的下一个重大发展。这项技术吸引了许多汽车制造商的兴趣，这些汽车制造商旨在发挥运输网络公司（TNC）和汽车共享机构的作用，从而每公里和每次骑行都能获得收益。据预测，未来的SAV多数将很可能是电动的。因此，重要的是要了解有限的车辆行驶里程和充电基础设施的配置将如何影响共享自动驾驶汽车（SAEV）服务的性能。在这项研究中，我们旨在探讨充电站位置，充电类型（包括正常和快速充电以及电池更换）以及车辆电池容量对服务效率的影响。我们在法国鲁昂·诺曼底都会区执行基于代理的SAEV的仿真。通过考虑对网络和流量响应的动态需求，仿真过程具有影响评估的功能。

研究结果表明，SAEV的性能与充电基础设施密切相关。重要的是，根据需求中心和充电站之间的最小距离，更快的充电基础设施和充电位置的放置会带来更高的性能。进一步的分析表明，将充电站分散在整个服务区域中的重要性及其对服务有效性的影响。结果还强调，必须谨慎选择SAEV电池容量，以避免需求和充电高峰时间之间的重叠。最后，仿真结果表明，通过提供电池交换基础设施，可以显着改善SAEV服务的性能指标。