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

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

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...

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Bibliographic Details
Main Authors: Lim, Zhi Jun, Goh, Sim Kuan, Dhief, Imen, Alam, Sameer
Other Authors: School of Mechanical and Aerospace Engineering
Format: Conference Paper
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

Internet

https://hdl.handle.net/10356/146537

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