Results of optimized with priority.

How to efficiently utilize the existing airport capacity without physical expansion and considerable economic inputs to meet air traffic needs is one of the important tasks of air traffic management. To improve the efficiency of capacity utilization, it is necessary to find the actual airport capacity properly. In this work, taking Shuangliu International Airport as an example, a methodology for capacity estimation is proposed that combines the empirical method with an analytical approach that uses historical performance data from the airport to construct a capacity envelope to approximate the airport’s actual capacity to the greatest extent, establishes a collaborative optimization model that reflects the inherent relations between airport capacity and arrival and departure traffic demand, adopts an improved optimization algorithm to solve the model, and generates an optimal flight allocation scheme. Priority ratio is introduced to dynamically adjust management preferences for arrival and departure traffic demand to further reveal the synergy mechanism between departure and arrival traffic flow demand and the airport capacity. The result shows that the Flight On-time Performance rate is lifted by 6% in the case study which proves the feasibility of the proposed method, demonstrating its value for maximizing airport capacity and traffic flow demand without requiring expansions on airport scales.

在不实施物理扩建且无需投入巨额经济成本的前提下，高效利用现有机场容量以满足航空交通需求，是空中交通管理的重要任务之一。为提升机场容量利用效率，需精准获取机场实际运行容量。本研究以双流国际机场（Shuangliu International Airport）为研究案例，提出一种容量估算方法：该方法融合经验法与分析建模手段，依托机场历史运行数据构建容量包络线，以最大程度拟合机场实际运行容量；同时构建能够反映机场容量与起降交通需求内在关联的协同优化模型，并采用改进型优化算法对模型进行求解，最终生成最优航班调度方案。研究引入优先级比率，动态调整针对起降交通需求的管理偏好，以进一步揭示起降交通流需求与机场容量间的协同运作机制。案例研究结果表明，航班正常率（Flight On-time Performance rate）提升6个百分点，这验证了所提方法的可行性，同时证明该方法可在无需扩建机场规模的前提下，实现机场容量与交通流需求的最大化适配。