A supervised learning approach for 4D air traffic conflict prediction under trajectory uncertainty

• المؤلفون الرئيسيون: Mohamed Arif Mohamed, Dang, Huu Phuoc, Alam, Sameer
• مؤلفون آخرون: 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)
• التنسيق: Conference or Workshop Item
• اللغة: English
• منشور في: 2023
• الموضوعات: Engineering; Air Traffic Control; Prediction
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/170972; https://2023.ieee-itsc.org/
• المؤسسة: Nanyang Technological University

This paper presents a Supervised Learning approach for the problem of air traffic conflict prediction in 4- dimensional space (3-dimensional space and time) under trajectory uncertainties, resulting in non-nominal conflict points. Decision support systems for conflict prediction offer shortterm co...