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Projecte llegit

Títol: Potentials of the Generative Artificial Intelligence in Air Traffic Management

Estudiants que han llegit aquest projecte:

Director/a: BARRADO MUXÍ, CRISTINA

Departament: DAC

Títol: Potentials of the Generative Artificial Intelligence in Air Traffic Management

Data inici oferta: 02-02-2024     Data finalització oferta: 02-10-2024


Estudis d'assignació del projecte:
    GR ENG SIST AEROESP
Tipus: Individual
 
Lloc de realització: EETAC
 
Paraules clau:
Ai, atm, generative, machine learning
 
Descripció del contingut i pla d'activitats:
Nowadays, generative artificial intelligence in the aerospace industry is a burgeoning field, employing the most innovative techniques and advanced models to be highly useful. These applications can be observed in the field of Air Traffic Management (ATM), encompassing practical aspects such as optimizing air routes, generating flight plans, managing air traffic, proposing maneuvers to avoid conflicts, and more. Therefore, the proposal for the TFG will focus on conducting a state-of-the-art analysis of generative artificial intelligence in the aeronautical world. The idea is for the student to carry out a systematic research and up-to-date assessment of technological, research and developments advancements in this field up to the present day, utilizing research publications and technical documents that have already been published in the last 5 years. The purpose of this study is for the student to explain the uses, the fundamentals of the methods and subsequently provide a comprehensive view of the existing use cases, aiming to synthesize the current status of this innovative application. Additionally, it could explore future objectives and goals and, ideally, the student may offer their own insights into progress with a well-formed understanding of the subject matter.
 
Overview (resum en anglès):
Artificial intelligence. We have just read two words that are very widespread
among all of us nowadays. To a greater or lesser extent, artificial intelligence is
present in the day-to-day life of today's society; this has arrived on a large
scale and is here to stay. Its advances progress exponentially in many areas.
Aviation, then, could not be less.

The aeronautical world is constantly evolving, from the earliest days when the
first flights were made to today. It is an industry that requires the latest
technology; therefore, when a tool as powerful and useful as artificial
intelligence appears, engineers aim to implement it and get the most out of it.

Recently, a new concept has emerged that is increasingly gaining strength and
will be the focus of this work: generative artificial intelligence. It is possible that
a considerable part of society has made use of this, whether generating texts,
images... And this raises the question... What is the potential of this in the
aeronautical framework? Well, this is the main topic that this work investigates,
with the aim of creating a complete state-of-the-art.

To carry out this work, an exhaustive search will be made for all the necessary
information in order to be able to answer all the questions about the state of
generative artificial intelligence in aviation (specifically focusing on the air traffic
management framework); in addition to contrasting it with the real EASA
planning in terms of objectives, dates and safety requirements.

Therefore, as the chapters progress, we will be able to find how in this work all
the features and topics are analyzed and studied, which will finally lead to the
compilation of the information necessary to make this analysis of the state-of-the-art and the potential future.

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