Weather Avoidance Field Establishment Algorithm Based on Fuzzy Theory

Severe weather poses a serious threat to flight safety. It is a great significance to establish the weather avoidance field accurately for ensuring flight safety and optimizing air traffic flow. In this paper, we propose a weather avoidance field establishment algorithm based on fuzzy theory. Based on the two important characteristics of weather system intensity and the degree of air traffic affected by weather, the algorithm adopts the weather weight function to describe the continuous positive correlation between weather influence degree and weather system intensity, and optimizes the distance correlation coefficient function by considering the change of affected area scope caused by the difference of weather system intensity. Thus, a weather avoidance field model is established to convert weather information into airspace constraints. Some straight results show that the model proposed in this paper can establish the weather avoidance field scientifically and reasonably.