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

• المؤلفون الرئيسيون: Pham, Duc-Thinh, Tran, Phu N., Alam, Sameer, Duong, Vu, Delahaye, Daniel
• مؤلفون آخرون: School of Mechanical and Aerospace Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2022
• الموضوعات: Engineering::Aeronautical engineering::Aviation; Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence; Reinforcement Learning; Air Traffic Control
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/153396

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...