Systems Engineering and Electronics ›› 2020, Vol. 42 ›› Issue (7): 1534-1542.doi: 10.3969/j.issn.1001-506X.2020.07.15

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Rerouting planning of key navigation sections based on

Minggong WU(), Zelong YE(), Xiangxi WEN*(), Hongjun WANG()   

  1. 1. Air Traffic Control and Navigation College, Air Force Engineering University, Xi'an 710051, China
    2. State Key Laboratory of Air Traffic Control Collision Prevention Technology, Xi'an 710051, China
    3. Unit 95178 of the PLA, Nanning 530049, China
    4. Unit 93220 of the PLA, Harbin 150046, China
  • Received:2019-09-12 Online:2020-06-30 Published:2020-06-30
  • Contact: Xiangxi WEN E-mail:wuminggong@sohu.com;yzl15332497581@163.com;wxxajy@163.com;112481742@qq.com
  • Supported by:
    国家自然科学基金(71801221);陕西省自然科学基金(2018JQ7004)

Abstract:

In air traffic flow management, rerouting planning is an important work, which can provide new flight paths for invalid flights, reduce delay loss and improve airspace utilization. At present, the strategy of rerouting only considers the shortest path problem in the static network, and ignores the traffic load balance, which is not conducive to solving the problem of multi-route segment fault. A strategy of rerouting planning based on the local resilient routing layer (LRRL) is proposed: the key route segments in the route network are identified by the evaluation method of link deletion, the LRRL is established and the binary particle swarm optimization (BPSO) algorithm is used to optimize the LRRL, forming an optimal plan for diversion. Simulation results show that this method can provide a rerouting plan considering the traffic load balance, important route protection degree and rerouting cost in case of multi-airport and multi-route segment fault, and assist the control commander in decision-making.

Key words: resilient routing layer (RRL), aviation network, rerouting planning, binary particle swarm optimization (BPSO) algorithm

CLC Number: 

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