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: In order to improve the accuracy of air traffic flow management, this paper studied the dynamic capacity of the sector based on the controller's cognitive load. 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 based on improved ant colony algorithm which could improve the calculation speed for air traffic flow management. Furthermore, Load of controller's guide path is proposed which expanded the concept of controller's cognitive load. Dynamic capacity of airspace sector evaluation model was established. Finally, taking the Sanya regulatory sector as an example, the dynamic capacity of the sector in the next 2 hours was predicted. Results showed that evaluation model can accurately evaluate the traffic capacity under the influence of dynamic factors.

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