Dynamic and Cooperative Optimization of Entry and Exit Points for Multiple Sectors in Free Route Airspace Considering Wind Forecasts

Due to the continuous growth of air traffic demand, Free Route Airspace (FRA) will be promoted and applied full-time in the future. The reasonable configuration of sector entry and exit points is very important for the improvement of flight efficiency, safety, and situation awareness for air traffic controllers. This paper proposed a dynamic cooperative configuration method of entry and exit points for multiple sectors in FRA considering wind forecasts from the perspective of airspace traffic flow orderliness and flight performance based on real-time traffic demand for FRA. Firstly, an airspace wind network model is established based on the wind forecast data, and the Dijkstra algorithm is used to generate the wind optimal trajectories for flights. Then, we developed a dynamic co-configuration model of entry and exit points for multiple sectors and solved it using the NSGA-II algorithm. Finally, we take western China airspace as an example and select a typical day to conduct a dynamic cooperative configuration experiment of entry and exit points to verify the feasibility of the proposed method.