交通运输系统工程与信息 ›› 2014, Vol. 14 ›› Issue (6): 58-64.

• 智能交通系统与信息技术 • 上一篇    下一篇

终端区空中交通流参数模型与仿真

张洪海*1,许炎1,张哲铭2,杨磊1   

  1. 1. 南京航空航天大学国家空管飞行流量管理技术重点实验室,南京211106; 2. 国家飞行流量监控中心流量监控室,北京100094
  • 收稿日期:2014-05-26 修回日期:2014-07-23 出版日期:2014-12-25 发布日期:2014-12-30
  • 作者简介:张洪海(1976- ), 男, 山东菏泽人, 博士, 副教授.
  • 基金资助:

    国家自然科学基金项目(61104159);中央高校基本科研业务(NJ20130019).

Air Traffic Flow Parameter Model and Simulation for Airport Terminal Area

ZHANG Hong-hai1,XU Yan1,ZHANG Zhe-ming2,YANG Lei1   

  1. 1. National Key Laboratory of Air Traffic Flow Management, Nanjing University of Aeronautics & Astronautics, Nanjing 210016, China; 2. State of Air Flow Management Center, Beijing 100094, China
  • Received:2014-05-26 Revised:2014-07-23 Online:2014-12-25 Published:2014-12-30

摘要:

研究机场终端区空中交通流参数的时空特性及演变规律,可为缓解终端区交 通拥挤,优化管控策略提供科学的依据.采用数理推导和仿真演析相结合的方法,首先基 于元胞传输模型建立了终端区进场交通系统模型,阐明空中交通流的速度、密度和流量三 项基本特性参数相互关系及影响要素;然后运用Netlogo仿真系统对增量后的进场交通流 的宏观涌现行为进行模拟,推演空中交通流基本参数的变化趋势,并进行敏感性分析;最 后,采用基于空管实测数据拟合的交通流参数关系对模型进行验证.研究结果表明,本文 建立的交通流参数模型符合实际且对终端区交通态势的判断具有应用价值,终端区空中 交通流基本参数间存在明显相关性,并随飞行程序、管制间隔、管制策略的改变而改变.

关键词: 航空运输, 终端区系统, 交通流特性, 元胞传输模型, 系统仿真

Abstract:

This paper studies the time- space characteristic and its evolution rule of the air traffic flow in terminal area, which aims at providing scientific basis to alleviate air traffic congestion and optimize control strategies. The method combines with mathematical induction and simulation analysis. First, based on cell transmission model, the model of landing approach air traffic flow in terminal area is established, and further to elucidate the interrelationship and influential factors of the three basic parameters as velocity, density and traffic flux. Then, the macroscopic emergence behavior of traffic flow in terminal area is simulated on the Netlogo platform, and the correlativity of basic traffic flow parameters is deduced with a sensitivity analysis. Finally, the model is verified by ATC radar data. The results demonstrate that this model is correspond to reality and is feasible for traffic states identification. Also, there are obvious relationships to the three basic parameters of air traffic flow in terminal area, and such relationship evolves distinctly with the flight procedure, control separation, and control strategy.

Key words: air transportation, terminal area system, traffic flow characteristics, cell transmission model, system simulation

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