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Queuing Network Models of the National Airspace System

机译:国家空域系统排队网络模型

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Understanding the relationships between trajectory uncertainties due to aviation operations, precision of navigation and control, and the traffic flow efficiency are central to the design of next generation Air Transportation Systems. Monte-Carlo simulations using air traffic simulation software packages can be used to quantify these effects. However, they are generally time consuming, and do not provide explicit relationships for comparing various technology options. On the other hand, queuing models of the air traffic system can rapidly demonstrate the influence of trajectory uncertainties on traffic flow efficiency, facilitating tradeoff studies in an effective and time-efficient manner. A methodology for incorporating the trajectory uncertainty models into queuing network models of the air traffic at national, regional and local scales is discussed. Usefulness of these models in assessing the impact of uncertainties on traffic flow efficiency is illustrated.
机译:了解由于航空运营,导航精度和控制的轨迹不确定性之间的关系,交通流量效率是下一代空运系统设计的核心。使用空中交通仿真软件包的Monte-Carlo模拟可用于量化这些效果。但是,它们通常是耗时的,并且不提供用于比较各种技术选项的明确关系。另一方面,空中交通系统的排队模型可以迅速展示轨迹不确定性对交通流量效率的影响,以有效且节奏的方式促进权衡研究。讨论了将轨迹不确定性模型纳入国家,区域和地方尺度的空中交通网络模型的方法。说明了这些模型在评估不确定性对交通流量效率的影响时的有用性。

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