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基于改进蚁群协同算法的枢纽机场场面滑行道优化调度模型 被引量：20

Optimal scheduling model for hub airport taxi based on improved ant colony collaborative algorithm
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摘要 滑行道连接停机位和跑道,是机场场面调度的重要关键环节。基于飞机滑行时的冲突约束和跑道资源的动态分配,采用改进蚁群协同算法与滑动窗口控制相结合的方法,对滑行道进行优化调度。在保证滑行道零冲突、兼顾单个航班滑行时间的前提下,缩小机场进出港航班总滑行时间。对国内某枢纽机场的滑行道调度仿真实验表明,所提出的方法和模型具有明显的优势,可为枢纽机场的场面滑行调度提供决策支持。 Taxiway connects parking spot and runway,which takes an important part in airport surface scheduling.According to the constraints of aircraft taxi conflict and dynamic allocation of runway＇s resources,improved ant colony collaborative algorithm and sliding window control were adopted to optimize taxi scheduling.Ensuring taxi conflict free and taking account of single flight taxi time,total taxi time of inbound and outbound flights was reduced.A domestic hub airport taxi scheduling simulation shows that the proposed method and model have obvious advantages,which can provide decision support for hub airport＇s taxi scheduling.
作者 丁建立 李晓丽 李全福
机构地区 中国民航大学计算机科学与技术学院 中国民航信息技术科研基地
出处 《计算机应用》 CSCD 北大核心 2010年第4期1000-1003,1007,共5页 journal of Computer Applications
基金 国家863计划项目(2006AA12A106) 国家自然科学基金资助项目(60879015 60572167)
关键词 滑行道调度 蚁群协同算法 滑动窗口控制 枢纽机场跑道 taxiway scheduling ant colony collaborative algorithm sliding window control hub airport runway
分类号 TP18 [自动化与计算机技术—控制理论与控制工程]
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参考文献8

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二级参考文献25

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共引文献27

同被引文献111

  • 1彭莉娟,吴鹍,余静.机场跑道最大容量评估模型的研究[J].四川大学学报（自然科学版）,2006,43(5):1018-1022. 被引量：27
  • 2张莹,胡明华,王艳军.航空器机场地面滑行时刻优化模型研究[J].中国民航飞行学院学报,2006,17(5):3-6. 被引量：13
  • 3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
  • 4徐肖豪,臧志恒.基于MILP的飞机滑行排序的优化[J].交通与计算机,2007,25(2):142-145. 被引量：16
  • 5陈团生,毛保华,姚宪辉,陈俊励.基于多目标规划的机场跑道运行模拟与优化[J].系统仿真学报,2007,19(12):2849-2851. 被引量：2
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引证文献20

二级引证文献97

计算机应用
2010年 第4期

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