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Graph-Based Dynamic Airspace Configuration Algorithm for Terminal Airspace

机译:基于图的终端空域动态空域配置算法

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To solve the increasing inefficiency of the current National Airspace System (NAS) caused by soaring air travel demand, the Next Generation Air Transportation System (NextGen) is proposed to transform the current ground-based, rigidly structured airspace to a dynamic and adaptive satellite-based airspace. Under the framework of dynamic airspace configuration, a lot of work has been done with dynamically sectorizing the airspace, but most of it is focusing on the en route airspace. Since the terminal airspace is the bottleneck of aircraft operations, dynamically restructuring the terminal airspace to make it capable of adapting to the ever changing air traffic patterns and distribution is increasingly attracting researchers' attention. We propose a graph-based dynamic airspace configuration algorithm for the terminal airspace. The proposed algorithm not only makes the best of the valuable experience we have gained in the research of the en route airspace configuration, but also takes into full consideration the significant differences of the terminal airspace from the en route airspace.
机译:为了解决造成了目前国家空域系统(NAS)的日益低效飙升的航空旅行需求,下一代航空运输系统(NextGen)提出了当前基于地面的,严格的结构空域进行改造,以动态和自适应卫星的基于空域。在动态空域配置的框架下,在动态划分空域的情况下,已经完成了大量工作,但大部分都是专注于通航空域。由于终端空域是飞机运营的瓶颈,动态重组终端空域,使其能够适应不断变化的空中交通模式和分布越来越多地吸引研究人员的注意力。我们提出了一种基于图形的动态空域配置算法,用于终端空域。所提出的算法不仅是我们在途径空域配置的研究中获得的宝贵经验,还可以完全考虑到终端空域的显着差异。

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