自动化学报2026，Vol.52Issue(2)：230-239,10.DOI:10.16383/j.aas.c250396
城市空中交通系统最优规模评估与调度
Optimal Scale Evaluation and Scheduling in Urban Air Mobility System
摘要
Abstract
This paper focuses on urban air mobility systems and proposes an optimization method to simultan-eously determine the minimum system scale required to meet passenger demand and the optimal system rebalan-cing strategy.A combined framework consisting of fluid model and multi-server M/M/s queueing model is de-veloped to capture the migration of passengers,aircraft,and batteries among stations,as well as battery swapping and charging processes.Within this framework,the well-posedness of the numbers of aircraft and batteries is proven,and the necessary conditions for supply-demand equilibrium are derived.On this basis,linear programming is employed to compute the rebalancing allocation rates and the minimum fleet size under supply-demand equilibri-um,and to determine the optimal locations of charging stations,the number of batteries,and the number of bat-tery transport vehicles.Numerical simulations analyze the factors affecting system scale,and a case study verifies the effectiveness of the proposed rebalancing method.关键词
城市空中交通/飞行器/系统规模/再平衡调度/供需均衡Key words
urban air mobility/aircraft/system scale/rebalancing scheduling/supply-demand balance引用本文复制引用
郭戈,郑智远,张忍永康..城市空中交通系统最优规模评估与调度[J].自动化学报,2026,52(2):230-239,10.基金项目
国家自然科学基金(62573104,62173079,U1808205),河北省自然科学基金(F2025501051),国家资助博士后研究人员计划(GZC20251204),中央高校基本科研业务费(N2423049)资助Supported by National Natural Science Foundation of China(62573104,62173079,U1808205),Hebei Natural Science Founda-tion(F2025501051),Postdoctoral Fellowship Program of China Postdoctoral Science Foundation(CPSF)(GZC20251204),and Funda-mental Research Funds for the Central Universities(N2423049) （62573104,62173079,U1808205）
