Volume 45 Issue 5
May  2019
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WU Minggong, JIANG Xurui, WEN Xiangxi, et al. Conflict detection and resolution in scenario of military aircraft flow passing through civil aviation route[J]. Journal of Beijing University of Aeronautics and Astronautics, 2019, 45(5): 863-872. doi: 10.13700/j.bh.1001-5965.2018.0504(in Chinese)
Citation: WU Minggong, JIANG Xurui, WEN Xiangxi, et al. Conflict detection and resolution in scenario of military aircraft flow passing through civil aviation route[J]. Journal of Beijing University of Aeronautics and Astronautics, 2019, 45(5): 863-872. doi: 10.13700/j.bh.1001-5965.2018.0504(in Chinese)

Conflict detection and resolution in scenario of military aircraft flow passing through civil aviation route

doi: 10.13700/j.bh.1001-5965.2018.0504
Funds:

National Natural Science Foundation of China 71801221

National Natural Science Foundation of China 61472441

National Natural Science Foundation of China 61503409

Natural Science Basic Research Plan in Shaanxi Province of China 2018JQ7004

More Information
  • Corresponding author: WEN Xiangxi, E-mail:wxxajy@163.com
  • Received Date: 30 Aug 2018
  • Accepted Date: 30 Nov 2018
  • Publish Date: 20 May 2019
  • Aimed at the conflict problem of military aircraft flow passing through civil aviation routes, the aircraft flow centering scenario is modeled and analyzed. A centering flight conflict detection method based on sliding windows and a multiple aircraft conflict resolution method based on cooperative game theory are proposed. When the aircraft flow enters the control zone, the sliding window is used to judge the conflicts within look-ahead time. Based on this, the potential conflict aircraft can form a coalition and game with each other to balance the benefits. In this problem, the maximum coalition welfare solution in cooperative game is regarded as the fair allocation, and all solutions should satisfy the safety boundary conditions. Finally, according to the characteristics of the optimal maneuver direction, the strategy is solved quickly by using the immune particle swarm optimization algorithm. The simulation results show that the proposed method can effectively get the resolution strategies and balance the benefits between the military aircraft flow and civil aircraft flow.

     

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