Landings at Logan Airport: Describing and Increasing Airport Capacity
Landings at Logan Airport: Describing and Increasing Airport Capacity
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洛根机场着陆：描述和增加机场容量
DOI：
10.1287/trsc.27.3.211
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发表时间：
1993
期刊：
影响因子：
--
通讯作者：
A. Odoni
中科院分区：
文献类型：
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作者：
C. S. Venkatakrishnan;A. Barnett;A. Odoni
为了了解新的基于计算机的决策支持系统如何使空中交通管制受益，我们研究了在波士顿降落的飞机的空中交通延误。首先，我们开发了一个经验模型，目前的着陆时间间隔（LTIs）的飞机之间的两个因素，显着影响他们：着陆跑道配置和飞机的重量类别。接下来，我们开发了三个日益丰富的波士顿终端空域模型，并在气流数据上应用排序算法，以加快进入飞机的着陆。将算法建议的序列与控制器现在使用的序列进行比较，我们估计，在某些情况下，更好的排序可以减少30%的延迟。然而，这种改进必须与这种算法对工作负载和空中交通管制环境的其他方面的影响相平衡。
To understand how greatly new computer-based Decision Support Systems can benefit air traffic control, we study air traffic delays for landing aircraft at Boston. First, we develop an empirical model for present day Landing Time Intervals (LTIs) between aircraft in terms of two factors that significantly affect them: the landing runway configuration and the weight-class categories of the aircraft. Next, we develop three increasingly rich models of Boston's terminal airspace and apply, on airflow data, sequencing algorithms meant to expedite the landing of incoming aircraft. Comparing sequences suggested by the algorithms to those now used by controllers, we estimate that better sequencing can reduce delays by 30% in some instances. However, such improvements must be balanced against the effects such algorithms would have on workloads and other aspects of the air traffic control environment.