论文标题
对按需城市空气流动运营的车队管理和网络设计分析
Analysis of Fleet Management and Network Design for On-Demand Urban Air Mobility Operations
论文作者
论文摘要
估计城市空气流动性(UAM)任务的运营可行性的重大挑战在于了解设计中的选择如何影响复杂的系统系统的性能。这项工作研究了UAM生态系统及其内部运营的能力,以满足未来几年可能出现的各种需求概况。我们基于UAM操作模型执行了一组模拟驱动的可行性和可伸缩性分析,目的是为代表操作UAM生态系统的一组参数估算容量和吞吐量。 UAM生态系统设计指南,车辆限制和有效的操作政策可以从我们的分析中得出。结果表明,尽管对于启用UAM至关重要,但UAM生态系统的性能对于地面基础设施和车队设计决策的变化是强大的,同时对舰队和交通管理政策的决策敏感。我们表明,只要用于地面基础架构和车队设计的生态系统设计参数属于明智的范围内,则UAM生态系统的性能受到用于管理UAM流量的政策的影响。
A significant challenge in estimating operational feasibility of Urban Air Mobility (UAM) missions lies in understanding how choices in design impact the performance of a complex system-of-systems. This work examines the ability of the UAM ecosystem and the operations within it to meet a variety of demand profiles that may emerge in the coming years. We perform a set of simulation driven feasibility and scalability analyses based on UAM operational models with the goal of estimating capacity and throughput for a given set of parameters that represent an operational UAM ecosystem. UAM ecosystem design guidelines, vehicle constraints, and effective operational policies can be drawn from our analysis. Results show that, while critical for enabling UAM, the performance of the UAM ecosystem is robust to variations in ground infrastructure and fleet design decisions, while being sensitive to decisions for fleet and traffic management policies. We show that so long as the ecosystem design parameters for ground infrastructure and fleet design fall within a sensible range, the performance of the UAM ecosystem is affected by the policies used to manage the UAM traffic.