期刊文献+

面向三维空间的交通复杂度建模

Air Traffic Complexity Modeling for Three Dimensional Spaces
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摘要 为探索空域系统承载复杂交通的能力,空管业界对以动态密度为代表的复杂性模型进行了大量理论研究,而对复杂性实际应用的研究略显单薄。基于前期联携关系复杂性研究,详细分析了三维空域内航空器对的各种相对运动趋势,将原有的复杂度模型从平面空间扩展到立体空间,采用综合微观分析方法建立了普适于立体空间的交通复杂度模型。模型能够真实地反映三维空域内航空器的空间耦合态势,并通过广州区域扇区的实际运行数据验证了模型的有效性,弥补了复杂性模型实用性不足的缺陷。 To explore the complexity of air traffic flow operating in the airspace,much work have be focus on the research of the construction of complexity model such as the dynamic density. On these research basis,this paper analyze all relative motion trend between aircrafts in real airspace,and use comprehensive microscopic analysis to improve the original model from flat space to solid spaces,construct a new air traffic complexity model which apply to three dimensional spaces so as to reflect the space coupling situation of aircrafts more exactly. Finally,the model is validated through the simulation cases and real data analysis in Guangzhou area. The model apply the complexity theory to practice.
出处 《航空计算技术》 2015年第1期26-29,34,共5页 Aeronautical Computing Technique
基金 国家科技支撑计划项目资助(2011BAH24B09)
关键词 空中交通管理 内禀复杂性 交通流 交通态势 复杂系统建模 air traffic management intrinsic complexity traffic flow traffic situation complexity system modeling
作者简介 作者简介:陈飞飞(1990-),男,江苏盐城人,硕士研究生,主要研究方向为飞行流量管理。
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参考文献9

  • 1Parimal Kopardekar, Albert Schwartz, Sherri Magyarits, et al. Airspace Complexity Measurement: An Air Traffic Control Simulation Analysis [ J ]. International Journal of Industrial Engineering,2009,16 ( 1 ) :61 - 70.
  • 2Chatterji G B, Sridhar B. Measures for Air Traffic Controller Workload Prediction [ C ]//1 st AIAA Aircraft, Technology, Integration, and Operations Forum. California, Los Angeles, 2001.
  • 3Parimal Kopardekar, Tom Prevot, Michael Jastrzebski. Traffic Complexity Measurement Under Higher Levels of Automation and Higher Traffic Densities [ C ]//AIAA Guidance, Naviga- tion and Control Conference and Exhibit,2008.
  • 4Delahaye D, Puechmorel S, Hansman R J, et al. Air Traffic Complexity Map Based on Nonlinear Dynamical Systems [ J ]. Air Traffic Control ,2004,12 (4) :367 - 388.
  • 5Dclahaye D, Puechmorel S. Air Traffic Complexity:Towards Intrinsic Metrics[ C]//3rd USA/Europe ATM R & D Semi- nar Napoli ,2000.
  • 6张进,胡明华,张晨.空中交通管理中的复杂性研究[J].航空学报,2009,30(11):2132-2142. 被引量:69
  • 7张晨,胡明华,张进,叶博嘉.基于交通复杂性的扇区资源管理[J].南京航空航天大学学报,2010,42(5):607-613. 被引量:11
  • 8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:26
  • 9叶博嘉,胡明华,张晨,张进.基于交通结构的空中交通复杂性建模[J].交通运输系统工程与信息,2012,12(1):166-172. 被引量:21

二级参考文献65

  • 1Mogford R H, Guttman J A, Morrow S L, et al. The complexity construct in air traffic control: a review and synthesis of the literature[R]. DOT/FAA/CT-TN95/22, 1995.
  • 2Edmons B. Syntactic measures of complexity[D]. Manchester: University of Manchester, 1999.
  • 3Histon J M, Hansman R J, Aigoin G, et al. Introducing structural considerations into complexity metrics[J]. Air Traffic Control Quarterly, 2002, 10(2) : 115-130.
  • 4Histon J M, Hansman R J. The impact of structure on cognitive complexity in air traffic control[R]. MIT International Center for Air Transportation Rep. No. ICAT- 2002 4, 2002.
  • 5Cilliers P, Complexity and postmodernism [ M]. New York: Routledge, 1998:8- 10.
  • 6FAA. FAA's NextGen implementation plan[R]. Washington, D.C. : FAA, 2008.
  • 7Swenson H, Barhydt R, Landis M. Next generation air transportation system (NGATS) air traffic managementairspace project[R]. NASA Reference Material, 2006.
  • 8SESAR Consortium. SESAR master plan D5[R]. EUEO- CONTROL DLM 0710-001-02-00, 2008.
  • 9RTCA. Final report of RTCA task force :3: free flight iraplementation[R]. Washington, D.C. : RTCA Inc, 1995.
  • 10FAA. The measure of air traffic control sector complexity for the en route environment: phase Ⅱ experiment plan [R/OL]. [2008-09 -18]. http: //www. tc. faa. gov/ acb300/330 documents dd. asp.

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