Real-time departure slotting in mixed-mode operations using deep reinforcement learning : a case study of Zurich airport

• Main Authors: Pham, Duc-Thinh, Chan, Li Long, Alam, Sameer, Koelle, Rainer
• Other Authors: School of Mechanical and Aerospace Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2021
• Subjects: Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence; Engineering::Aeronautical engineering::Aviation; Airport Runway Control; Reinforcement Learning; Air Traffic Control; Departure Sequencing; Departure Slotting
• Online Access: https://hdl.handle.net/10356/152779
• Institution: Nanyang Technological University

A mixed-mode runway operation increases the runway capacity by allowing simultaneous arrival and departure operations on the same runway. However, this requires careful evaluation of safe separation by experienced Air Traffic Controllers (ATCOs). In daily operation, ATCOs need to make real-time deci...