Aircraft sequencing and scheduling within terminal airspaces has become more complicated due to increased air traffic demand and airspace complexity. A stochastic mixed-integer linear programming model is proposed to handle aircraft sequencing and scheduling problems using the simulated annealing algorithm. The proposed model allows for proper aircraft sequencing considering wind direction uncertainties, which are critical in the decision-making process. The proposed model aims to minimise total aircraft delay for a runway airport serving mixed operations. To test the stochastic model, an appropriate number of scenarios were generated for different air traffic demand rates. The results indicate that the stochastic model reduces the total aircraft delay considerably when compared with the deterministic approach.

中文翻译：

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风向不确定下TMA中的飞机排序和调度

由于空中交通需求增加和空域复杂性增加，终端空域内的飞机排序和调度变得更加复杂。提出了一种随机混合整数线性规划模型，使用模拟退火算法处理飞机排序和调度问题。所提出的模型允许考虑风向不确定性的适当飞机排序，这在决策过程中至关重要。所提出的模型旨在最大限度地减少服务于混合运行的跑道机场的总飞机延误。为了测试随机模型，针对不同的空中交通需求率生成了适当数量的情景。结果表明，与确定性方法相比，随机模型大大减少了飞机总延误。