面向多机场终端区的双层规划进离场协同排序模型

o address delays and congestion caused by imbalanced air traffic flow in multi-airport terminal areas under rapid civil aviation development, this study proposes a bi-level programming model for collaborative sequencing of arrival and departure flights considering runway-corridor interactions. The model emphasizes the role of corridor entrances/exits in terminal areas and optimizes objectives for arrival and departure flights under diverse traffic scenarios. A bi-level elite strategy genetic algorithm is designed to solve the model. Simulation experiments based on Shanghai multi-airport terminal area demonstrate that the proposed method reduces total departure flight release time by up to 23.83% and decreases arrival (departure) flight delays by 51.52% (18.05%). The algorithm significantly outperforms traditional FCFS strategies and NSGA-II optimization in scheduling efficiency.