期刊文献+

多跑道协同运行模式优化方法 被引量:22

Optimization Approach for Collaborative Operating Modes of Multi-runway Systems
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摘要 繁忙机场飞行区运行能力低下导致空中交通拥堵及航班延误现象频发,机场系统亟需扩容增效与排堵保畅。为有效平衡机场容流供需,研究了多跑道协同运行模式优化方法。综合考虑机场布局、交通流特性、气象条件等因素,提出了多跑道协同运行模式分类方法;基于跑道容量包络线理论,通过引入容量损失系数客观反映模式切换特点,建立了多跑道协同运行模式优化模型;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(NSGA),对模型进行了准确求解。仿真实验表明,模型可对多跑道协同运行模式进行优化配置,有效实现机场容量与流量之间的均衡。与单一固定模式相比,多元组合模式优化效果显著,其中航班延误成本减少了38.1%,航班调整数量减少了46.4%,所提方法可显著提升多跑道协同运行能力,有效提高航班正常性。 Low service ability of an airfield area causes frequent air traffic congestion and flight delays at busy airports. The airport system calls for capacity and efficiency improvements urgently to relieve the current congested situation, in this work, an optimization approach for the collaborative operating modes of multi-runway systems is proposed to balance the demand and capacity. Runway operating modes are classified in detail taking into consideration the airport layout, air traffic charac- teristics, weather conditions and other factors comprehensively. Based on the theory of runway capacity envelope, a corre- sponding optimization model is established by introducing the capacity loss coefficient which objectively reflects the mode switching characteristics. Then an elitist non-dominated sorting genetic algorithm is designed combined with the multi-objec- tive optimization theory, and applied to solve the problem of multi-runway operating mode configuration. Simulation results show that the above model and algorithm can achieve optimized multi-runway configuration and improve demand-capacity balancing. Compared with the single runway mode, the combined runway modes bring about a striking optimization effect which results in a 38. 1% reduction in the cost of flight delays and a 46.4% decrease in the quantity of adjusted flights. The approach provided can significantly enhance collaborative operating efficiency of a multi-runway system, and effectively im- prove air traffic punctuality.
出处 《航空学报》 EI CAS CSCD 北大核心 2014年第3期795-806,共12页 Acta Aeronautica et Astronautica Sinica
基金 江苏省普通高校研究生科研创新计划项目(CXZZ12_0165) 国家科技支撑计划(2011BAH24B09) 国家自然科学基金(61104159) 中央高校基本科研业务费专项资金~~
关键词 空中交通管制 跑道运行模式 多目标优化 机场容流均衡 容量损失系数 air traffic control; operating mode of runway multi-objective optimization airport demand-capacity balancing;capacity loss coefficient
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参考文献20

  • 1Beasley J E, Krishnamoorthy M, Sharaiha Y M, et al. Scheduling aircaft landings-the static case[J]. Transporta- tion Science, 2000, 34(2): 180-197.
  • 2Romano E, Santillo L C, Zoppoli P. A static algorithm to solve the air traffic sequencing problem [J]. WSEAS Transactions on Systems, 2008, 7(6) : 682- 695.
  • 3Bojanowski L, Harikiopoulo D, Neogi N. Multi runway aircraft sequencing at congested airports[C]//Proceedings of American Control Conference, 2011 : 2759-2758.
  • 4Brinton C, Provan C, Lent S, et al. Collaborative depar ture queue management[C]//Proceedings of 9th USA/Eu- rope Air Traffic Management Research and Development Seminar, 2011.
  • 5Czerny A I. Airport congestion management under uncer tainty[J]. Transportation Research Part B: Methodologi cal, 2010, 44 (3): 371-380.
  • 6Schank J L. Solving airside airport congestion: why peak runway pricing is not working [J]. Journal of Air Trans- port Management, 2005, 11 (6): 417-425.
  • 7尹嘉男,胡明华,赵征.多跑道机场停机位分配仿真模型及算法[J].交通运输工程学报,2010,10(5):71-76. 被引量:26
  • 8Australian Government. Runway allocator: interactive runway use analysis tool[R]. Canberra: Department ot" Transport and Regional Services, 2006.
  • 9Gluchshenko O, Dynamic usage of capacity for arrivals and departures in queue minimization[C]//Proceedings of IEEE International Conference on Control Applications, 2011: 139-146.
  • 10Solak S, Clarke J P B, Johnson E L. Airport terminal ca pacity planning [J]. Transportation Research Part B: Methodological, 2009, 43 (6): 659-676.

二级参考文献14

  • 1文军,孙宏,徐杰,梁志杰.基于排序算法的机场停机位分配问题研究[J].系统工程,2004,22(7):102-106. 被引量:39
  • 2田勇,付建军,王艳军.机场地面容量评估研究[J].南京航空航天大学学报,2006,38(5):619-622. 被引量:13
  • 3陈欣,陆迅,朱金福.机场停机位指派模型及算法[J].交通运输工程学报,2006,6(4):88-90. 被引量:8
  • 4SOLAK S, CLARKE J P B, JOHNSON E L. Airport terminal capacity planning[J]. Transportation Research Part B= Methodological, 2009, 43(6): 659 -676.
  • 5YAN S Y, TANG C H. A heuristic approach for airport gate assignments for stochastic flight delays[J]. European Journal of Operational Research, 2007, 180(2) : 547 -567.
  • 6DING H, LIM A, RODRIGUES B, et al. The over constrained airport gate assignment problem[J]. Computers and Operations Research, 2005, 32(7): 1867-1880.
  • 7YAN S Y, HUO C M. Optimization of multiple objective gate assignments[J]. Transportation Research Part A: Policy and Practice, 2001, 35(5): 413-432.
  • 8DEBBAGE K G. Airport runway slots limits to growth[J]. Annals of Tourism Research, 2002, 29(4): 933 -951.
  • 9MADAS M A, ZOGRAFOS K G. Airport slot allocation: from instruments to strategies[J]. JournaZ of Air Transport Management, 2006, 12(2):53-62.
  • 10JANIC M. Modelling the capacity of closely-spaced parallel runways using innovative approach procedures[J]. Transportation Research Part C: Emerging Technologies, 2008, 16(6) : 704-730.

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引证文献22

二级引证文献121

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