航空学报 > 2014, Vol. 35 Issue (3): 795-806   doi: 10.7527/S1000-6893.2013.0350

多跑道协同运行模式优化方法

尹嘉男1,2, 胡明华1,2, 张洪海1,2, 马园园1,2   

  1. 1. 南京航空航天大学 民航学院, 江苏 南京 211106;
    2. 国家空管飞行流量管理技术重点实验室, 江苏 南京 211106
  • 收稿日期:2013-05-21 修回日期:2013-07-23 出版日期:2014-03-25 发布日期:2013-08-08
  • 通讯作者: 尹嘉男,Tel.:025-52112669 E-mail:yinjianan2121@126.com E-mail:yinjianan2121@126.com
  • 作者简介:尹嘉男 男,博士研究生。主要研究方向:机场规划、管理与评估,场面流量管理,空中交通系统建模与仿真等。Tel:025-52112669 E-mail:yinjianan2121@126.com;胡明华 男,教授,博士生导师。主要研究方向:国家空域系统规划、管理与评估,飞行流量管理,空中交通管理系统信息化与智能化等。Tel:025-52112079 E-mail:minghuahu@nuaa.edu.cn
  • 基金资助:

    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

Optimization Approach for Collaborative Operating Modes of Multi-runway Systems

YIN Jia'nan1,2, HU Minghua1,2, ZHANG Honghai1,2, MA Yuanyuan1,2   

  1. 1. College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China;
    2. National Key Laboratory of Air Traffic Flow Management, Nanjing 211106, China
  • Received:2013-05-21 Revised:2013-07-23 Online:2014-03-25 Published:2013-08-08
  • Supported by:

    Funding of Jiangsu Innovation Program for Graduate Education (CXZZ12_0165); National Key Technology Research and Development Program of China (2011BAH24B09); National Natural Science Foundation of China (61104159); Fundamental Research Funds for the Central Universities

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。

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

Abstract:

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 characteristics, weather conditions and other factors comprehensively. Based on the theory of runway capacity envelope, a corresponding 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-objective 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 improve air traffic punctuality.

Key words: air traffic control, operating mode of runway, multi-objective optimization, airport demand-capacity balancing, capacity loss coefficient

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