This paper presents a framework to identify and characterise anomalies in past en-route
Mode S trajectories. The technique builds upon two previous contributions introduced in …

A large amount of data is produced every day by stakeholders of the Air Traffic Management
(ATM) system, in particular airline operators, airports, and air navigation service providers …

The preparation and execution of training simulations for Air Traffic Control (ATC) and pilots
requires a significant commitment of operational experts. Such a mobilisation could be …

In the air transport system, there has been a continuous effort to develop policies, tools, and
methodologies that increase and standardize safety levels across the entire commercial …

Air Traffic Management systems generate a huge amount of track data daily. Flight
trajectories can be clustered to extract main air traffic flows by means of unsupervised …

Safety is of paramount importance in aviation due to the catastrophic consequences of
accidents. Consequently, efforts have been made over the years to research and improve …

Airlines safety departments analyse aircraft data recorded on-board (FDM) to inspect safety
occurrences. This activity relies on human experts to create a rule-based system that detects …

Abstract The Automatic Dependent Surveillance-Broadcast protocol is one of the latest
compulsory advances in air surveillance. While it supports the tracking of the ever-growing …

As air traffic demand grows, robust, data-driven methods are required to ensure that aviation
systems become safer and more efficient. The terminal airspace is identified as the most …

This paper describes a framework to automatically identify air traffic flows from a set of
trajectories by using a clustering algorithm. The framework offers two methods to cluster …