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Analysis of Fleet Management and Network Design for On-Demand Urban Air Mobility Operations
arXiv - CS - Other Computer Science Pub Date : 2020-08-07 , DOI: arxiv-2008.05535
Sheng Li, Maxim Egorov, Mykel J. Kochenderfer

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.

中文翻译:

按需城市空中交通运营的车队管理和网络设计分析

估算城市空中交通 (UAM) 任务的运营可行性的一个重大挑战在于了解设计中的选择如何影响复杂系统的性能。这项工作检查了 UAM 生态系统及其中的运营能力,以满足未来几年可能出现的各种需求概况。我们基于 UAM 运营模型执行一组模拟驱动的可行性和可扩展性分析,目的是估计代表运营 UAM 生态系统的一组给定参数的容量和吞吐量。从我们的分析中可以得出 UAM 生态系统设计指南、车辆限制和有效的运营政策。结果表明,虽然对于启用 UAM 至关重要,UAM 生态系统的性能对地面基础设施和机队设计决策的变化很稳健,同时对机队和交通管理政策的决策很敏感。我们表明,只要地面基础设施和机队设计的生态系统设计参数在合理范围内,UAM 生态系统的性能就会受到用于管理 UAM 流量的策略的影响。
更新日期:2020-08-14
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