Aircraft System Traffic Management

Aircraft System Traffic Management (UTM) focuses on safely and efficiently integrating unmanned aerial vehicles (UAVs) into existing airspace, addressing challenges posed by increasing drone usage. Current research emphasizes developing algorithms and models, such as reinforcement learning and rapidly-exploring random trees, for collision avoidance, path planning, and dynamic airspace allocation, often incorporating machine learning for spectrum management and congestion mitigation. These advancements are crucial for ensuring safe and reliable UAV operations, improving airspace utilization, and facilitating the wider adoption of drone technology across various sectors.