There is an increasing interest in applying methods based on Machine Learning Techniques
(MLT) to problems in aviation operations. The current interest is based on developments in …

With the increased use of intelligent Decision Support Tools in Air Traffic Management
(ATM) and inclusion of non-traditional entities, regulators and end users need assurance …

The aviation community develops Trajectory Based Operations (TBO) as an advancement in
Air Traffic Management (ATM). There is still the need for an efficient scheme to present the …

Trajectory prediction with Closest Point of Approach (CPA) concept is a fundamental
element of aircraft Conflict Detection (CD) problem. Conventional motion-based CPA …

The required minimum separation distance between aircraft is believed to be one of the
limiting factors on airspace capacity. In recent decades, aircraft separation rules have been …

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 …

Abstract This article evaluates Machine Learning (ML) classification techniques applied to
air-traffic conflict detection. The methodology develops a static approach in which the conflict …

Abstract Machine learning (ML) is the ability of computers to learn mathematical relations to
make predictions based on historical data. In recent years, ML has evolved rapidly and has …

Os avanços tecnológicos aumentaram significativamente a quantidade de dados gerados
em vários domínios, incluindo o transporte aéreo. O tratamento correto desse grande …

With the increased use of intelligent Decision Support Tools in Air Traffic Management
(ATM) and inclusion of non-traditional entities, regulators and end users need assurance …