The Automatic Collision Avoidance Algorithm of Aircraft Based on the Multiattribute Utility Game Framework
With the rapid growth of the air transportation volume,the number of aircraft conflicts in the air has doubled.In order to ensure the safety of airspace flight,high-performance aircraft collision avoidance algorithms are crucial.Combined with the multiattribute utility theory and the Level-K game framework,this article proposes an algorithm for the automatic collision avoidance of aircraft.This algorithm utilizes the multiattribute utility theory to synthesize multiple objectives that need to be considered in the process of aircraft collision avoidance,and models the mutual game between two aircraft during collision avoidance by using the Level-K game.The experimental results show that the automatic collision avoidance algorithm proposed in this article can conveniently and effec-tively adjust the aircraft's collision avoidance performance,and the performance of the algorithm is superior to the current automatic collision avoidance system equipped on aircraft.
Air transportationMultiattribute utilityGame frameworkCollision avoidance algorithm