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Potentials of the generative artificial intelligence in air traffic management

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  • معلومة اضافية
    • Publisher Information:
      Universitat Politècnica de Catalunya 2024-06-21
    • نبذة مختصرة :
      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.
    • الموضوع:
      Àrees temàtiques de la UPC::Aeronàutica i espai::Sistemes CNS/ATM (Communication, Navigation, Surveillance/Air Traffic Management); Artificial intelligence.; Ai; Atm; Generative; Machine learning; Navegació aèria; Bachelor thesis
    • Availability:
      Open access content. Open access content
      http://creativecommons.org/licenses/by-nc-nd/3.0/es
      Open Access
    • Note:
      application/pdf
      English
    • Other Numbers:
      HGF oai:upcommons.upc.edu:2117/410582
      PRISMA-189054
      1452490790
    • Contributing Source:
      UNIV POLITECNICA DE CATALUNYA
      From OAIster®, provided by the OCLC Cooperative.
    • الرقم المعرف:
      edsoai.on1452490790
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