Probabilistic conflict detection using heteroscedastic gaussian process and bayesian optimization

• Main Authors: Pham, Duc-Thinh, Guleria, Yash, Alam, Sameer, Duong, Vu
• Other Authors: Air Traffic Management Research Institute
• Format: Article
• Language: English
• Published: 2023
• Subjects: Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence; Engineering::Aeronautical engineering::Aviation; Probabilistic Conflict Detection; Bayesian Optimization; Uncertainty Modeling
• Online Access: https://hdl.handle.net/10356/171177
• Institution: Nanyang Technological University

Conflict detection plays a crucial role in ensuring flight safety and efficiency and is a critical component of an air traffic control system. Despite the availability of tools to support air traffic controllers in identifying potential conflicts, their quality and accuracy remain limited due to the...