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Dynamic Runway Configurations and Flexible Arrival/Departure Tradeoffs in Metroplex Airports

机译:大都会机场的动态跑道配置和灵活的进/出折衷

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Runway system is central to airport capacity. Its inefficient ultilization has been identified as a major source of airport congestions. This paper analyzes the patterns of demand-capacity imbalance and design a series of flexible strategies for air traffic demand management (ATDM), and then optimize runway configurations in metroplex (i.e. multi-airport system) airports, under a set of tradeoff settings for arrival and departure priorities. An optimization model with 4 imbalance cases, 11 tradeoff scenarios and 2 configuration strategies, are proposed to minimize the flight holding cost and the number of adjusted flights. The proposed evolutionary algorithm can obtain close-to optimal results with a very low computational cost. A case study of the Shanghai metroplex airports shows that, compared with the traditional static strategy, the proposed dynamic strategy can significantly reduce the number of adjusted flights. The proposed framework in this paper can be applied on pre-tactical (i.e. one-day planning) as well as tactical (i.e. 2-h rolling horizon) levels, to keep the balance between high demand and limited capacity through flexible ATDM options.
机译:跑道系统对于机场的容量至关重要。其低效的耕种已被确认为机场拥堵的主要根源。本文分析了需求容量失衡的模式,并设计了一系列灵活的空中交通需求管理(ATDM)策略,然后在一组权衡设置下,优化了大都会(即多机场系统)机场的跑道配置。和出发优先事项。提出了一种具有4种不平衡情况,11种折衷方案和2种配置策略的优化模型,以最大程度地降低航班持有成本和调整后的航班数量。所提出的进化算法可以以非常低的计算成本获得接近最佳的结果。以上海大都会机场为例,与传统的静态策略相比,提出的动态策略可以显着减少调整后的航班数量。本文提出的框架可应用于战术前(即一日计划)以及战术(即2小时滚动视野)级别,以通过灵活的ATDM选项在高需求和有限容量之间保持平衡。

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