关键词: 空中交通管理, 认知负荷, 动态通行能力, 眼动, 改进蚁群算法

Abstract: The existing evaluation of dynamic traffic capacity does not consider the controller's cognitive load. In order to improve the accuracy of air traffic flow management, a new sector dynamic traffic capacity evaluation model based on controller's cognitive load and improved ant colony algorithm was constructed. Firstly, a dynamic flight constrained region model which could describe the dynamic influence factors of the sector was constructed, and the dynamic control guided path planning was realized by improving ant colony algorithm, which could meet the calculation speed requirement of air traffic flow management. Then, the concept of control and guidance load intensity was proposed and used for the construction of sector dynamic traffic capacity evaluation model, which expanded the concept of controller's total cognitive load. Finally, taking the Sanya regulatory sector as an example, the dynamic traffic capacity of the sector at 9 moments in the next 2 hours was evaluated by taking 15 min as an interval. The results of example verification show that the results of dynamic traffic capacity obtained by the proposed model are different from the actual operating results by an airplane, and the effects are ideal.

Key words: air traffic management, cognitive load, dynamic traffic capacity, eye movement, improved ant colony algorithm