Advanced Air Mobility

Advanced Air Mobility (AAM) aims to revolutionize transportation through the development of electric vertical takeoff and landing (eVTOL) aircraft and autonomous flight operations, focusing on safety, efficiency, and scalability. Current research heavily utilizes reinforcement learning algorithms, including deep Q-learning and soft actor-critic methods, often coupled with graph neural networks and attention mechanisms for improved decision-making in complex, dynamic environments. This field is significant for its potential to alleviate ground traffic congestion and emissions, driving innovation in areas such as autonomous systems, air traffic management, and digital twin technologies for improved safety and operational efficiency.