Serious congestion and delay problems exist in most of the busiest airports worldwide because of imbalance between scarce airport slot resources and increasing traffic demand. Various factors, especially weather conditions, exacerbate the demand–capacity imbalance. This paper presents a robust model for simultaneous slot allocation on an airport network in multiple calendar days, considering airport capacity uncertainty. The idea of robust optimization is conducive to sustainable and stable decision-making. Robustness is represented through reducing the potential scheduling conflicts in the worst case. Then the model links the strategic decisions and pre-tactical decisions in air traffic management (ATM) through the tradeoff between strategic discrepancy cost and operational congestion cost. Under the support of the Cplex solver, numerical analyses are taken to validate the characteristics and effectiveness of the proposed model. The results show that the proposed model effectively eliminates the existing and potential scheduling conflicts, and makes effective tradeoffs between airline preference and potential airport congestion risk.

中文翻译：

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不确定容量下机场网络时隙分配的同步优化模型

由于稀缺的机场时刻资源与日益增长的交通需求之间的不平衡，全球大多数最繁忙的机场都存在严重的拥堵和延误问题。各种因素，尤其是天气条件，加剧了需求-产能失衡。考虑到机场容量的不确定性，本文提出了一个鲁棒的模型，用于在多个日历日内在机场网络上同时分配航班时刻。稳健优化的思想有利于持续稳定的决策。健壮性通过减少最坏情况下的潜在调度冲突来表示。然后，该模型通过战略差异成本和运营拥堵成本之间的权衡，将空中交通管理 (ATM) 中的战略决策和战术前决策联系起来。在Cplex求解器的支持下，数值分析用于验证所提出模型的特性和有效性。结果表明，所提出的模型有效地消除了现有和潜在的调度冲突，并在航空公司偏好和潜在的机场拥堵风险之间进行了有效的权衡。