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

• المؤلفون الرئيسيون: Pham, Duc-Thinh, Tran, Ngoc Phu, Goh, Sim Kuan, Ma, Chunyao, Alam, Sameer, Duong, Vu
• مؤلفون آخرون: School of Mechanical and Aerospace Engineering
• التنسيق: Conference or Workshop Item
• اللغة: English
• منشور في: 2020
• الموضوعات: Engineering::Aeronautical engineering; Air Traffic Command and Control; Artificial Intelligence
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/145645
• المؤسسة: 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...