Assessment Model of Safety Situation in Low-Altitude Airspace Based on AGA-FCM

With the opening of low-altitude airspace in China and the increasing general aviation operation, the safety problem has become increasingly severe. It is necessary to assess the safety situation in low-altitude airspace for improving air traffic management efficiency and low-altitude airspace safety. In this paper, a method to assess safety situation in low-altitude airspace is proposed based on adaptive genetic algorithm (AGA) and fuzzy C-means clustering algorithm (FCM). It studies the safety state and trend of low-altitude airspace in the process of aircraft interaction. Firstly, by combining characteristics of low-altitude operating environment and data from flight simulation, an index system is constructed to assess safety situation in low-altitude airspace. Then, an AGA-FCM-based assessment model and a spatial visualization method of safety situation are proposed. Finally, according to the simulation data analysis of a low-altitude airspace operation scenario, temporal and spatial distributions of safety situation are calculated. Verified by the fuzzy matter-element model, the results confirm that the proposed assessment model of safety situation in low-altitude is effective and feasible. Therefore, it provides a useful reference for improving planning and management level of low-altitude airspace.