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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:为解决因航空旅行需求激增而导致的当前国家空域系统(NAS)效率低下的问题,提出了下一代航空运输系统(NextGen),以将当前的地面,刚性结构空域转换为动态的自适应卫星,空域。在动态空域配置的框架下,已经完成了对空域进行动态分区的许多工作,但其中大部分工作集中在航路空域上。由于终端空域是飞机运行的瓶颈,因此动态重组终端空域以使其能够适应日新月异的空中交通模式和分布越来越引起研究人员的注意。我们为终端空域提出了一种基于图的动态空域配置算法。所提出的算法不仅充分利用了我们在航路空域配置研究中获得的宝贵经验,而且还充分考虑了终端空域与航路空域的显着差异。

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