城市空中交通系统最优规模评估与调度OA
Optimal Scale Evaluation and Scheduling in Urban Air Mobility System
针对城市空中交通系统,提出一种优化方法以同时确定满足乘客需求的最小系统规模和最佳系统再平衡策略.研究构建流体模型与多服务器M/M/s排队模型的联合框架,描述乘客、飞行器与电池在站点间迁移、换电及充电过程.在该模型框架下对飞行器和电池数量的适定性进行证明,并给出系统供需均衡时的必要条件.在此基础上,通过线性规划求解系统供需均衡下的再平衡分配率与最小机队规模,并计算最优充电站位置、电池数量及电池运输车数量.数值仿真分析了影响系统规模的因素,实例验证证明了所提再平衡方法的有效性.
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.
郭戈;郑智远;张忍永康
东北大学流程工业综合自动化国家重点实验室 沈阳 110004||东北大学信息科学与工程学院 沈阳 110819||东北大学秦皇岛分校控制工程学院 秦皇岛 066004东北大学信息科学与工程学院 沈阳 110819东北大学信息科学与工程学院 沈阳 110819
城市空中交通飞行器系统规模再平衡调度供需均衡
urban air mobilityaircraftsystem scalerebalancing schedulingsupply-demand balance
《自动化学报》 2026 (2)
230-239,10
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)
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