Data-driven runway occupancy time prediction using decision trees

• Main Authors: Chow, Hong Wei, Lim, Zhi Jun, Alam, Sameer
• Other Authors: School of Mechanical and Aerospace Engineering
• Format: Conference or Workshop Item
• 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
• Institution: Nanyang Technological University

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 (...