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A robust optimization approach for airport departure metering under uncertain taxi-out time predictions

机译：不确定滑行时间预测下的机场离港计量的鲁棒优化方法

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摘要

Airports are critical elements in the air transportation system in terms of traffic flow management. The high volume of operations along with the constraining airside capacity can exacerbate surface congestion and lead to increased flight delays and costs, especially during peak times. Surface traffic optimization is an alternative for alleviating congestion. However, the high level of uncertainty in actual operations can compromise the effectiveness of optimal policies. This paper presents a robust optimization approach for metering aircraft departures under uncertainty in the taxi-out process. A mixed integer linear programming model for runway sequencing and scheduling that incorporates uncertainty sets for the taxi-out time is proposed in order to dynamically determine an optimal and robust sequence and schedule of aircraft release from the gate. Actual operational data from Brasilia International Airport in Brazil is used to evaluate the effectiveness of departure metering at this airport. An assessment of benefits and trade-offs of introducing robustness is performed based on stochastic simulation of departure performance under different control strategies. The robust optimization approach shows positive impacts in protecting against uncertainty as it reduces runway delays and taxi-out times and increases takeoff time predictability. (C) 2017 Elsevier Masson SAS. All rights reserved.
机译：就交通流量管理而言，机场是航空运输系统中的关键要素。大量的运营以及受约束的空侧容量会加剧地面拥挤，导致航班延误和成本增加，尤其是在高峰时段。地面交通优化是缓解拥堵的一种替代方法。但是，实际操作中的高度不确定性可能会损害最佳策略的有效性。本文提出了一种鲁棒的优化方法，用于在滑行过程不确定的情况下对飞机离场进行计量。为了动态确定最优且鲁棒的飞机从登机口释放的顺序和时间表，提出了一种用于跑道排序和时间表的混合整数线性规划模型，该模型结合了滑行时间的不确定性集。来自巴西巴西利亚国际机场的实际运行数据用于评估该机场离场计费的有效性。在不同控制策略下，基于出发绩效的随机模拟，对引入鲁棒性的收益和取舍进行了评估。强大的优化方法在防止不确定性方面显示出积极的影响，因为它减少了跑道延误和滑行时间，并增加了起飞时间的可预测性。 （C）2017 Elsevier Masson SAS。版权所有。

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