Deep reinforcement learning based path stretch vector resolution in dense traffic with uncertainties

• Main Authors: Pham, Duc-Thinh, Tran, Phu N., Alam, Sameer, Duong, Vu, Delahaye, Daniel
• Other Authors: School of Mechanical and Aerospace Engineering
• Format: Article
• Language: English
• Published: 2022
• Subjects: Engineering::Aeronautical engineering::Aviation; Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence; Reinforcement Learning; Air Traffic Control
• Online Access: https://hdl.handle.net/10356/153396
• Institution: Nanyang Technological University

With the continuous growth in the air transportation demand, air traffic controllers will have to handle increased traffic and consequently, more potential conflicts. This gives rise to the need for conflict resolution advisory tools that can perform well in high-density traffic scenarios given a no...