Projecte llegit
Títol: Potentials of the Generative Artificial Intelligence in Air Traffic Management
Estudiants que han llegit aquest projecte:
HINNO GONZÁLEZ, INGRID (data lectura: 21-06-2024)- Cerca aquest projecte a Bibliotècnica
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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. |