中国民航大学学报

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基于蚁群算法的主干航线网络动态规划

谢春生,李少华,戴玉洁   

  1. (中国民航大学空中交通管理学院,天津300300)
  • 收稿日期:2018-02-19 修回日期:2018-04-26 出版日期:2018-12-25 发布日期:2018-12-27
  • 作者简介:谢春生(1975—),男,吉林榆树人,副教授,硕士,研究方向为空域规划与飞行程序设计、飞机性能分析.
  • 基金资助:
    国家自然科学基金项目(61603396,U1333116)

Dynamic planning of trunk route network based on ant colony algorithm

XIE Chunsheng, LI Shaohua, DAI Yujie   

  1. (College of Air Traffic Management, CAUC, Tianjin 300300, China)
  • Received:2018-02-19 Revised:2018-04-26 Online:2018-12-25 Published:2018-12-27

摘要: 目前空中交通主干航线网络设计自动化水平较低,无法满足民航产业安全、高效的需求,特别是在十三五规划后,民航业呈井喷式发展,空中交通网络设计的自动化水平亟需提高。利用蚁群算法,提出一种基于障碍区动态变化的主干航线规划方法。以中南管理区部分空域为例,规划多个航路点之间航线网络并优化。结果表明,算法可使航线经济性得到显著提高。

关键词: 空域分割, 航线网络, 蚁群算法, 动态规划

Abstract: Taking partial airspace of Central-South China Air Traffic Management Bureau as instance, the route network among several waypoints is planned and optimized. The optimization results show that the route economy has been significantly improved,thus the effectiveness of the algorithm is proved. In view of the current low automation level in the design of main route network, it is not enough to cope with the pursuit of a safe and efficient civil aviation industry. Especially after the 13th Five-Year Plan,the development of the civil aviation industry has sprung up and the automation level of air traffic network design needs urgent improvement. Using the ant colony algorithm to propose a dynamic trunk route planning method based on restricted airspace and danger airspace.

Key words: space segmentation, air route network, ant colony algorithm, dynamic planning

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