Primjena umjetne inteligencije u upravljanju zračnim prometom

graduate thesis

• Title (english): The application of artificial intelligence in air traffic management
• Author: Bruno Rakonić
• Mentor: Dora Naletina (mentor)
• Committee member: Blaženka Knežević (član povjerenstva)
• Committee member: Ivana Štulec (član povjerenstva)
• Granter: University of Zagreb; Faculty of Economics and Business; (Department of Marketing); Zagreb
• Defense date and country: 2024-09-16, Croatia
• Scientific / art field, discipline and subdiscipline: SOCIAL SCIENCES; Economics; Marketing

Abstract

Upravljanje zračnim prometom, ATM (Air Traffic Management) predstavlja složen i vitalan sustav koji zahtijeva preciznu koordinaciju brojnih letova svakog dana. Umjetna inteligencija postaje sve bitniji aspekt svakodnevnog života. Svoju primjenu pronašla je u brojnim sferama pa tako i u upravljanju zračnim prometom. Ona dovodi do brojnih poboljšanja i olakšavanja zadataka o kojima u određenim trenucima ovise brojni životi. Umjetna inteligencija značajno smanjuje kašnjenje letova, povećava učinkovitost zračne plovidbe, omogućuje prediktivnu analitiku te sprječava nastanak potencijalnih tehničkih kvarova na zrakoplovima prije nego se oni i pojave. Također unaprjeđuje predviđanje vremenskih uvjeta i brojne druge prednosti. U ovom radu proučavaju se teorijski aspekti primjene umjetne inteligencije u upravljanju zračnim prometom i provest će se analiza kako ona poboljšava i olakšava ovu industriju. Cilj ovog rada je istražiti sve načine na koje umjetna inteligencija olakšava i poboljšava upravljanje zračnim prometom. Isto tako, cilj se ogleda i u proučavanju i objašnjavanju načina na koji ona djeluje i unaprjeđuje određeni sektor zračnog prometa.

Abstract (english)

Air Traffic Management (ATM) is a complex and vital system that requires precise coordination of numerous flights each day. Artificial intelligence is becoming an increasingly important aspect of everyday life. It has found applications in numerous fields, including air traffic management. AI brings about numerous improvements and facilitates tasks upon which many lives may depend at certain moments. It significantly reduces flight delays, enhances air navigation efficiency, enables predictive analytics, and prevents potential technical failures in aircraft before they occur. Additionally, it improves weather forecasting and offers many other advantages. This paper examines the theoretical aspects of AI application in air traffic management and will conduct an analysis of how it improves and facilitates this industry. The aim of this paper is to investigate all the ways in which AI eases and enhances air traffic management. Furthermore, the goal is to study and explain how AI operates and advances specific sectors of air traffic.

• Keywords: umjetna inteligencija; zračni promet; automatizacija; tehnologija
• Keywords (english): artificial intelligence; air traffic; automation; technology
• Language: croatian
• URN:NBN: urn:nbn:hr:148:337438
• Study programme: Title: Management and retail marketing; Study programme type: professional; Study level: graduate; Academic / professional title: magistar ekonomije/magistra ekonomije (magistar ekonomije/magistra ekonomije)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Open access
• Created on: 2024-09-17 08:45:01