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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

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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