An intelligent interactive conflict solver incorporating air traffic controllers' preferences using reinforcement learning

• Main Authors: Tran, Ngoc Phu, Pham, Duc-Thinh, Goh, Sim Kuan, 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 Management; Conflict Resolution
• Online Access: https://hdl.handle.net/10356/144398
• Institution: Nanyang Technological University

The increasing demand in air transportation is pushing the current air traffic management (ATM) system to its limits in the airspace capacity and workload of air traffic controllers (ATCOs). ATCOs are in an urgent need of assistant tools to aid them in dealing with increased traffic. To address this...