发展空中交通流量管理

K. Kuhn
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引用次数: 0

摘要

本出版物描述了描述空中交通流量管理举措的历史数据的收集、处理和分析。这项工作的目标是定义和探索交通流量管理游戏,收集经常一起实施的举措。由美国联邦航空管理局空中交通管制系统指挥中心发布的报告组成的原始数据经过处理后,产生了描述纽约地区实施的举措的特征数据。所使用的特征是基于现有的科学文献和描述实际空中交通管制的文件。描述计划的示例特征包括计划时间、建议第一次提到计划的时间与计划开始生效的时间之间的差异,以及取消时间、计划结束的时间与根据任何相关建议的最新计划结束时间之间的差异。单个计划根据它们的特征进行分类,并且应用市场篮子分析来查看哪些计划的组合经常一起实现。市场购物篮分析还提供了关联规则。例如,在格林尼治标准时间14:00之前,对飞往拉瓜迪亚机场的航班实施地面延误计划,大大增加了在格林尼治标准时间16:00之前在拉瓜迪亚机场地面停留的机会。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Developing air traffic flow management plays
This publication describes the collection, processing, and analysis of historical data describing air traffic flow management initiatives. The goal of the work is the definition and exploration of traffic flow management plays, collections of initiatives frequently implemented together. Raw data consisting of advisories issued by the Federal Aviation Administration's Air Traffic Control System Command Center were processed to yield feature data describing initiatives implemented in the New York area. The features used are based on the available scientific literature and documents describing operational air traffic control. Example features describing an initiative include plan time, the difference between when advisories first mention the initiative and when the initiative goes into effect, and cancel time, the difference between when an initiative ends and the latest planned end time according to any relevant advisory. Individual initiatives were categorized according to their features and market basket analysis was applied to see which combinations of initiatives were frequently implemented together. Market basket analysis also provided association rules. For example the implementation, before 14:00 GMT, of a Ground Delay Program for flights destined for LaGuardia Airport greatly increases the chances of there being a Ground Stop at LaGuardia by 16:00 GMT.
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