On the simulation of shared autonomous micro-mobility

Rethinking cities is now more imperative than ever, as society faces global challenges such population growth and climate change. The design of can not be abstracted from the its mobility system, and, therefore, efficient solutions must found to transport people goods throughout city in an ecological way. An autonomous bicycle-sharing system would combine most relevant benefits vehicle sharing, electrification, autonomy, micro-mobility, increasing efficiency convenience systems incentivizing bike enjoy their environmentally friendly Due uniqueness radical novelty introducing driving technology into inherent complexity these systems, there a need quantify potential impact autonomy on fleet performance user experience. This paper presents ad-hoc agent-based simulator that provides in-depth understanding behavior realistic scenarios, including rebalancing based demand prediction. In addition, this work describes different parameters service quality quantifies extent which outperform current schemes. obtained results show with size three half times smaller station-based eight dockless provide overall improved experience even no rebalancing. These findings indicate remarkable could compensate for additional cost bicycles.