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航空学报  2015 

多机场终端区进场航班协同排序方法

DOI: 10.7527/S1000-6893.2014.0280, PP. 2279-2290

Keywords: 空中交通管制,多机场终端区,进场排序,多跑道,多目标优化,多元受限时间窗

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Abstract:

为有效缓解大都市圈机场群日益严重的空域拥堵和航班延误现状,系统研究了多机场终端区进场航班协同排序问题。通过深入剖析多机场终端区时空运行特性,综合考虑移交间隔、尾流间隔和多跑道运行间隔等约束限制,科学权衡安全、经济和公平等各方利益需求,引入多元受限时间窗的创新理念,建立了多机场终端区进场航班协同排序模型。结合多目标优化及遗传算法基本理论,设计了带精英策略的非支配排序遗传算法,寻求多机场终端区进场航班协同排序问题的Pareto最优解。仿真实验表明,模型可对多机场终端区进场航班进行优化排序,显著降低航班延误总时间,有效增强多机场空域资源使用公平性。与经典的先到先服务(FCFS)策略相比,协同排序策略优化效果较为显著,其中航班延误时间减少了31.0%,所提方法可显著缓解大都市圈机场群航班延误现状,有效提升航空运输服务品质。

References

[1]  Dear P G. The dynamic scheduling of aircraft in the near terminal area, FTL R76-9[R]. Cambridge: Flight Transportation Laboratory, 1976.
[2]  Psaraftis H N. A dynamic programming approach to the aircraft sequencing problem, FTLR78-4[R]. Cambridge: Flight Transportation Laboratory, 1978.
[3]  Bianco L, Rinaldi G, Ricciardelli S, et al. Scheduling tasks with sequence-dependent processing times[J]. Naval Research Logistics, 1988, 35(2): 177-184.
[4]  Beasley J E, Krishnamoorthy M, Sharaiha Y M, et al. Scheduling aircraft landings-the static case[J]. Transportation Science, 2000, 34(2): 180-197.
[5]  Ernst A T, Krishnamoorthy M, Storer R H. Heuristic and exact algorithms for scheduling aircraft landings[J]. Networks, 1999, 34(3): 229-241.
[6]  Abela J, Abramson D, Krishnamoorthy M, et al. Computing optimal schedules for landing aircraft[C]//Proceedings of the 12th National Conference of the Australian Society for Operations Research, 1995: 71-90.
[7]  Xun H B, Xu X H, Chen X H. Analysis of sequencing algorithms for arrival traffic in terminal area[J]. Journal of Nanjing University of Aeronautics & Astronautics, 1999, 31(2): 178-183 (in Chinese). 荀海波, 徐肖豪, 陈旭华. 机场终端区着陆次序的排序规划[J]. 南京航空航天大学学报, 1999, 31(2): 178-183.
[8]  Yang Q H, You Z S, Feng Z L, et al. Scheduling arrival aircrafts on multiple runways based on an improved genetic algorithm[J]. Journal of Sichuan University: Engineering Science Edition, 2006, 38(2): 141-145 (in Chinese). 杨秋辉, 游志胜, 冯子亮, 等. 一种改进的基于遗传算法的多跑道到达飞机调度[J]. 四川大学学报: 工程科学版, 2006, 38(2): 141-145.
[9]  Yang J M. Research on algorithms for scheduling arrival aircrafts in terminal area[D]. Nanjing: Nanjing University of Aeronautics and Astronautics, 2010 (in Chinese). 杨晶妹. 终端区进场航班排序方法研究[D]. 南京: 南京航空航天大学, 2010.
[10]  Idris H. Queuing analysis of interdependencies between multiple-airport system operations[C]//9th AIAA Aviation, Technology, Integration, and Operations Conference. Reston: AIAA, 2009: 1-10.
[11]  Farah I, Kansou A, Yassine A, et al. Ant colony optimization for aircraft landings[C]//2011 4th International Conference on Logistics (LOGISTIQUA). Piscataway, NJ: IEEE Press, 2011: 235-240.
[12]  Bojanowski L, Harikiopoulo D, Neogi N. Multi-runway aircraft sequencing at congested airports[C]//American Control Conference. Piscataway, NJ: IEEE Press, 2011: 2752-2758.
[13]  Andreeva M A. Aircraft resequencing with available arrival time window constraints[C]//2012 International MultiConference of Engineers and Computer Scientists. Hong Kong: Newswood Limited, 2012: 1513-1517.
[14]  Yin J N, Hu M H, Peng Y, et al. Optimized method for multi-runway spatio-temporal resource scheduling in the mode of dependent approaches[J]. Acta Aeronautica et Astronautica Sinica, 2014, 35(11): 3063-3072 (in Chinese). 尹嘉男, 胡明华, 彭瑛, 等. 相关进近模式下多跑道时空资源优化调度方法[J]. 航空学报, 2014, 35(11): 3063-3072.
[15]  Deb K, Pratap A, Agarwal S, et al. A fast and elitist multiobjective genetic algorithm: NSGA-Ⅱ[J]. IEEE Transactions on Evolutionary Computation, 2002, 6(2): 182-197.

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