Causal effects of landing parameters on runway occupancy time using causal machine learning models

• Main Authors: Lim, Zhi Jun, Goh, Sim Kuan, Dhief, Imen, Alam, Sameer
• 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; Causal Machine Learning; Runway Occupancy Time
• Online Access: https://hdl.handle.net/10356/146537
• Institution: Nanyang Technological University

Limited runway capacity is a common problem faced by most airports worldwide. The two important factors that affect runway throughput are the wake-vortex separation and Runway Occupancy Time (ROT). Therefore, to improve runway throughput, Wake Turbulence Re-categorisation program (RECAT) was introdu...