Air Traffic Management (ATM) will be more complex in the coming decades due to the
growth and increased complexity of aviation and has to be improved in order to maintain …

Anomaly detection is an active area of research with numerous methods and applications.
This survey reviews the state-of-the-art of data-driven anomaly detection techniques and …

Standardized, collaborative decision-making processes have already been implemented at
some network-relevant airports, and these can be further enhanced through data-driven …

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 …

Problems tackled by researchers and data scientists in aviation and air traffic management
(ATM) require manipulating large amounts of data representing trajectories, flight …

Identification and characterisation of air traffic flows is an important research topic with many
applications areas including decision-making support tools, airspace design or traffic flow …

Currently, the increasing number of daily flights emphasizes the importance of air
transportation. Furthermore, Air Traffic Management (ATM) enables air carriers to operate …

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 …

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 …

The decision of a flight crew to undertake a go-around, aborting a landing attempt, is
primarily to ensure the safe conduct of a flight. Although go-arounds are rare, they do cause …