Distance Measure to Cluster Spatiotemporal Scenarios for Strategic Air Traffic Management
Distance Measure to Cluster Spatiotemporal Scenarios for Strategic Air Traffic Management
复制标题
战略空中交通管理中聚类时空场景的距离测量
DOI：
10.2514/1.i010353
复制
发表时间：
2015
期刊：
影响因子：
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通讯作者：
C. Wanke
中科院分区：
文献类型：
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作者：
Junfei Xie;Y. Wan;Yi Zhou;S. Tien;Erik Vargo;C. Taylor;C. Wanke
对流天气被认为是导致国家空域系统延误的首要因素，它造成了空域内的需求 - 容量失衡。战略空中交通管理旨在通过在战略时间范围（提前2 - 15小时）内重新分配流量和资源来解决非标称条件（例如对流天气事件）下的失衡问题。作为情景驱动的战略空中交通管理的一个组成部分，本文开发了一种多分辨率时空距离度量方法，该方法与基于标准距离的聚类算法相结合，可用于将各种可能的天气影响情景分组为几个有代表性的聚类，以便于相应管理策略的设计。详细描述了这种新距离度量的动机、其生成算法以及参数影响分析，以促进实际实施以及在决策支持中的后续使用。这种多分辨率时空距离度量不仅满足了……
Convective weather, recognized as the leading contributor to delays in the National Airspace System, causes demand–capacity imbalance in the airspace. Strategic air traffic management aims to resolve the imbalance for offnominal conditions (for example, convective weather events) through redistributing flows and resources at the strategic timeframe (2–15 h in advance). As a component of scenario-driven strategic air traffic management, this paper develops a multiresolution spatiotemporal distance measure that, combined with standard distance-based clustering algorithms, can be used to group a wide range of possible weather-impact scenarios into a few representative clusters to facilitate corresponding management strategy design. Motivations of this new distance measure, its generation algorithm, and parameter impact analysis are described in detail to facilitate practical implementation and subsequent use in decision support. This multiresolution spatiotemporal distance measure not only addresses the need...