Zhu, PengboSirmatel, Isik IlberFerrari-Trecate, GiancarloGeroliminis, Nikolas2024-06-122024-06-1220241063-65361558-0865https://doi.org/10.1109/TCST.2024.3375765https://hdl.handle.net/20.500.14551/18907As an emerging mode of urban transportation, autonomous mobility-on-demand (AMoD) systems show the potential in improving mobility in cities through timely and door-to-door services. However, the spatiotemporal imbalances between mobility demand and supply may lead to inefficiencies and a low quality of service. Vehicle rebalancing (i.e., dispatching idle vehicles to high-demand areas) is a potential solution for efficient AMoD fleet management. In this article, we formulate the vehicle rebalancing problem as a coverage control problem for the deployment of a fleet of mobile agents for AMoD operation in urban areas. Performance is demonstrated via microscopic simulations representing a large urban road network in Shenzhen, China. The results reveal the potential of the proposed method in improving service rates and decreasing passenger waiting times.en10.1109/TCST.2024.3375765info:eu-repo/semantics/openAccessAutonomous Mobility-On-Demand (Amod) SystemsCooperative ControlCoverage ControlDistributed ControlVehicle RebalancingSensor NetworksDiagramArticleN/AWOS:0011894595000012-s2.0-85188504645Q1