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基于内禀属性的扇区复杂性评估 被引量:4

Sector complexity evaluation based on intrinsic attributes
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摘要 为了定量描述空域扇区的复杂性,引入交通内禀性概念,通过计算扇区内航空器间的逼近时间、侵略函数、关系矩阵、相关度函数,建立扇区的复杂性测度模型;并通过仿真算例,对扇区复杂度影响因素进行了分析。研究结果表明:复杂性值大小反映了扇区内飞机数量及汇聚、分散程度,复杂性值曲线拐点数量反映了扇区交通有序/无序程度,复杂性值曲线突变反映了扇区交通数量变化情况,可为管制员的监视和冲突解脱方案选择提供一定支持。 In order to describe the complexity of airspace sector in quantitatively, we introduced intrinsic concept of the transport, through the calculation approximation time, aggressive function, relation matrix, correlation function of the aircraft sector, then established the sector complexity measure model; and through simulation example, analyzed influence factors of complexity in the sector. Research results show that: the complexity value reflects the sector aircraft number and dispersion or convergence degree, complexity value curve inflexion number reflects the sector transportation ordered/disordered degree, complexity value curve mutations reflect the sector traffic number changes,at last providing certain support for ATC surveillance and conflict resolution options.
出处 《中国民航大学学报》 CAS 2013年第2期22-28,共7页 Journal of Civil Aviation University of China
基金 国家自然科学基金项目(61039001) 国家科技支撑计划项目(2011BAH24B08)
关键词 扇区评估 复杂性 内禀性 侵略函数 关系矩阵 sector evaluation complexity intrinsic aggressive function relation matrix
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参考文献12

  • 1! LAUDEMAN I V, SHELDEN S G, BRANSTROM R. Dynamic Det ! sity : An Air Traffic Management Metric , NASA -TM -1998 -1122] JR]. 1998. /.
  • 2DELAHAYE D, ALIJOT J M. Genetic Algorithms fi)r Air Traffic As- signment[C]//The European conference on Artificial Intelligence, 1994.
  • 3CHATFERJI G B,SRIDHAR B. Measures for Air Traffic Controller Workload Prediction[C]//lst AIAA Aircraft,Technology Integration and Operations Forum, 2001.
  • 4HUSN1 IDRIS, ROBERT VIVONA, JOSE-LUIS, et al. DistributedTraffic Complexity Management By Preserving Trajectory Flexibility[R]. Hampton, VA: NASA Langley Research Center, 2007.
  • 5DELAHAYE D,PUECHMORE S, HANSMAN. Air traffic complexity map based on nonlinear dynamical systems[J]. Air Traffic Control, 2004, 12(4) :367-388.
  • 6DELAHAYE D, PUECHMORE S. Air Traffic Complexity :Towards In- trinsic Metrics[C]//Proceedings of the third USA/Europe Air Traffic Management R&D Seminar, 2000.
  • 7张进,胡明华,张晨,叶博嘉.空域复杂性建模[J].南京航空航天大学学报,2010,42(4):454-460. 被引量:29
  • 8汪小帆,李翔,陈关荣.复杂网络理论及应用[M].北京:清华大学出版社,2006.
  • 9靳学梅,韩松臣,孙樊荣.自由飞行中冲突解脱的线性规划法[J].交通运输工程学报,2003,3(2):75-79. 被引量:23
  • 10HU J,PRANDINI M, SASTRY S. Optimal Maneuver for Multiple Air- craft Resolution : A Braid Point of View[C]//IEEE Conference on Deci- sion and Control , Sydney, Australia, 2000.

二级参考文献18

  • 1甘应爱.运筹学[M].清华大学出版社,1990,3..
  • 2孙台兴.民航概论[M].北京:中国民航出版社,2000..
  • 3骆慈孟.空中交通管制学[M].北京:中国民航出版社,1993..
  • 4Song L X,Wanke C,Greenbaum D.Predicting sector capacity for TFM[C] //7th USA/Europe ATM R&D Seminar.Spain,Barcelona:[s.n.].2007.
  • 5Gianazza D.Airspace configuration using air traffic complexity metrics[C] //7th USA/Europe ATM R&D Seminar.Spain,Barcelona:[s.n.].2007.
  • 6Laudeman I V,Shelden S G,Branstrom R,et al.Dynamic density:An air traffic management metric[R].NASA/TM-1998-112226,1998.
  • 7Chatterji G B,Sridhar B.Measures for air traffic controller workload prediction[C] //1st AIAA Aircraft,Technology Integration,and Operations Forum.California,Los Angeles:[s.n.].2001.
  • 8Delahaye D,Puechmorel S.Air traffic complexity:towards intrinsic metrics[C] //3rd USA/Europe ATM R&D Seminar.Italy,Napoli:[s.n.].2000.
  • 9Chatton F.Etudes de nouvelles métriques de complexite de la Circulation Aérienne[D].Toulouse:E'cole Nationalé de l'Aviation Civile (ENAC),2001.
  • 10Delahaye D,Puechmorel S,Hansman R J,et al.Air traffic complexity map based on non linear dynamical systems[J].Air Traffic Control,2004,12(4):367-388.

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