Learning air traffic controller strategies with demonstration-based and physiological feedback

• Main Authors: Pham, Duc-Thinh, Tran, Ngoc Phu, Goh, Sim Kuan, Ma, Chunyao, Alam, Sameer, Duong, Vu
• Other Authors: School of Mechanical and Aerospace Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2020
• Subjects: Engineering::Aeronautical engineering; Air Traffic Command and Control; Artificial Intelligence
• Online Access: https://hdl.handle.net/10356/145645
• Institution: Nanyang Technological University

In this research, we demonstrate an Artificial Intelligence framework that is able to learn conflict resolution strategies from human Air Traffic Controllers and then employ such knowledge in developing conflict resolution advisories. The proposed framework is designed to assist reinforcement learni...