The research team utilized AI to simulate a system that directs drone traffic through automated decision-making, significantly reducing the occurrence of accidents by employing collision avoidance algorithms and strategy conflict resolution methods. By integrating 'noise sensors' and a 'fuzzy reasoning system', the system can automatically decide to prevent collisions while considering various variables such as 'rogue drones' straying from their designated flight paths. The results are very promising.