Data-driven runway occupancy time prediction using decision trees

Data-driven runway occupancy time prediction using decision trees

With an increasing amount of flights, the demand for runways at airports increases as well. Innovative mechanisms are required to maximise the use of a runway such that the demand can be met. Such mechanisms include the prediction of Runway Occupancy Time (ROT), so that the Air Traffic Controllers (...

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Bibliographic Details
Main Authors: Chow, Hong Wei, Lim, Zhi Jun, Alam, Sameer
Other Authors: School of Mechanical and Aerospace Engineering
Format: Conference Paper
Language:English
Published: 2021
Subjects:
Engineering::Aeronautical engineering::Aviation
Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Runway Occupancy Time
Machine Learning
Decision Tree
Online Access:https://hdl.handle.net/10356/153282

Internet

https://hdl.handle.net/10356/153282

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