计算机科学与探索 ›› 2013, Vol. 7 ›› Issue (3): 247-253.DOI: 10.3778/j.issn.1673-9418.1208003

• 学术研究 • 上一篇    下一篇

流量仿真中虚拟管制员模型的研究

梁海军1,2,杨红雨1,2,杨  波1,2,刘  洪1,2+,陈正茂1,2   

  1. 1. 四川大学 视觉合成图形图像技术国家重点学科实验室,成都 610064
    2. 四川大学 国家空管自动化系统技术重点实验室,成都 610064
  • 出版日期:2013-03-01 发布日期:2013-03-05

Research on Virtual Controller Model for Traffic Flow Simulation

LIANG Haijun1,2, YANG Hongyu1,2, YANG Bo1,2, LIU Hong1,2+, CHEN Zhengmao1,2   

  1. 1. National Key Laboratory of Fundamental Science on Synthetic Vision, Sichuan University, Chengdu 610064, China
    2. National Key Laboratory of Air Traffic Control Automation System Technology, Sichuan University, Chengdu 610064, China
  • Online:2013-03-01 Published:2013-03-05

摘要: 介绍了一种用于空中交通流量管理系统(traffic flow management system,TFMS)中流量仿真的虚拟管制员模型(virtual controller model,VCM)。流量管理主要关注空域流量变化趋势,以及当流量需求过大或者空域容量不足时,流量管制员如何采取流量控制措施平衡流量与容量。为了预测未来一段时间内扇区流量与容量是否平衡,并评估流量控制措施是否有效,提出了虚拟管制员模型。该模型根据扇区空域结构进行建模,使用扇区容量、流量控制措施对航班进行调配,计算调配后的流量与容量匹配程度。将虚拟管制员模型用于流量管理系统中,并使用一天的真实历史数据进行验证,对使用流量仿真模型预测的扇区流量和真实的数据进行对比实验,验证了虚拟管制员模型的预测能力。该方法适用于空中交通流量管理系统。

关键词: 仿真, 空中交通管理, 流量管理, 容量

Abstract: This paper develops a new paradigm for building virtual controller model (VCM) for traffic flow simulator, which is applied to traffic flow management system (TFMS). The problem of interest is focused on the flow tendency of airspace and how flow control measures are applied by air traffic controllers when demand is overage or capacity shortfalls in the airspace. The paper presents the virtual controller model in order to estimate the balance between the traffic flow and the capacity of sector in future, and assess the effect of flow control measures. The VCM is modeled on the sector airspace system, uses sector capacity and flow control measures to adjust flights, and calculates the matching degree between flow and capacity. Numerical results are presented and illustrated by applying them to air traffic data for a typical day in the traffic flow management system. The results show that the predictive capabilities of the model are successfully validated by showing a comparison between real flow data and simulated sector flow, making this method appropriate for traffic flow management system.

Key words: simulation, air traffic control, traffic flow management, capacity