Airport Ground Handling

Airport ground handling (AGH) encompasses the logistical operations supporting aircraft turnarounds, aiming to optimize efficiency and cost-effectiveness. Current research focuses on improving AGH scheduling through advanced algorithms, such as those based on reinforcement learning and graph convolutional networks within large neighborhood search frameworks, to solve complex vehicle routing problems with numerous constraints. These models are designed to enhance solution quality and computational efficiency for managing large-scale operations involving multiple vehicle fleets and diverse service types, ultimately impacting airport management and the aviation industry's economics. The integration of AI-driven systems, including violence detection frameworks using computer vision and deep learning, further contributes to improved safety and security within the airport environment.