摘要
为提高点融合程序下的多跑道机场的进场航班运行效率,考虑点融合程序下终端区进场程序结构复杂的特点,提出以0-1整数规划为基础的多跑道进场航班优化排序模型。以进场航班的总延误时间、总飞行时间为最小目标函数,以尾流间隔、跑道限制、进场航班的飞行时间范围以及可分配进场程序为约束条件,将不同进场程序及跑道分配给不同的进场航班,确定航班的飞行时间、落地时刻,最终求得航班的落地序列。以浦东机场进场程序为例,选取含精英策略的非支配遗传算法对浦东机场的双落跑道进行进场航班优化排序,最后与实际结果对比。优化方案的飞行时间和延误时间分别为51 048 s和1 174 s,相较于实际结果降低了2.1%和38.2%,单位小时内跑道着陆架次提高了7架,跑道流量提高了20%左右。
An optimization ranking model for multi-runway approach flight based on 0-1 integer programming is proposed considering the complex structure of terminal area arrival program under point merge system to improve the operation of approach flights at multi-runway airports based on a point fusion system. Different approach procedures and runways are assigned to different approach flights to determine the flight time and landing time of flights with the total delay time and total flight time of the approach flights as the minimum objective function,and the wake interval,runway limit,flight time range of the approach flights and assignable approach procedure as constraints. The landing sequence of flights is obtained. Taking the approach procedure of Pudong Airport as a case study,the non-dominated genetic algorithm containing elite strategy is selected to optimize the sequencing of approach flights for the double landing runway of Pudong Airport. Then compared the results with the actual results. The flight time and delay time of the optimized program is 51 048 and 1 174 s,respectively,which are 2.1% and 38.2% lower compared with the actual results,and the number of runway landing sorties per unit hour is increased by 7 while the runway flow is increased by about 20%.
作者
王宁
翟文鹏
WANG Ning;ZHAIWenpeng(College of Air Traffic Management,Civil Aviation University of China,Tianjin 300300,China)
出处
《交通信息与安全》
CSCD
北大核心
2021年第6期108-116,共9页
Journal of Transport Information and Safety
基金
国家自然科学基金项目(61603396)
中央高校基本科研业务费中国民航大学专项(3122017061)。
