Unaprjeđenje upravljanja sigurnosnim rizicima primjenom umjetne inteligencije u zrakoplovstvu

master's thesis

• Title (english): Improvement of safety risk management using artificial intelligence in aviation
• Author: Tihana Bogdan
• Mentor: Dajana Bartulović (mentor)
• Committee member: Sanja Steiner (predsjednik povjerenstva)
• Committee member: Maja Ozmec-Ban (član povjerenstva)
• Committee member: Igor Štimac (član povjerenstva)
• Granter: University of Zagreb; Faculty of Transport and Traffic Sciences; (Division of Transport); (Department of Air Transport); Zagreb
• Defense date and country: 2024-09-26, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Traffic and Transport Technology; Air Traffic

Abstract

Zrakoplovstvo je jedna od tehnološki najnaprednijih industrija, što se očituje u
značajnom interesu za primjenom umjetne inteligencije u zrakoplovnoj industriji. Usvajanje i
primjena AI tehnologije doprinosi poboljšanju učinkovitosti, sigurnosti i konkurentnosti, te su
mnoge zrakoplovne organizacije već implementirale razna rješenja umjetne inteligencije za
unaprjeđenje i transformaciju svojeg poslovanja i rješavanje izazova. U radu je opisan
regulatorni okvir upravljanja sigurnošću u zrakoplovstvu, s detaljnijim opisom sustava
upravljanja sigurnošću u zrakoplovstvu. Objašnjena je uloga umjetne inteligencije u
zrakoplovstvu, te su analizirani i navedeni primjeri sustava i programskih alata s umjetnom
inteligencijom koji se primjenjuju u segmentu upravljanja sigurnosnim rizicima u
zrakoplovstvu. Također je naveden i pregled budućih planova primjene umjetne inteligencije u
upravljanju sigurnosnim rizicima u zrakoplovstvu.

Abstract (english)

Aviation is one of the most technologically advanced industries, which is reflected in
the significant interest in the application of artificial intelligence in the aviation industry. The
adoption and application of AI technology contributes to improving efficiency, safety and
competitiveness, and many aviation organizations have already implemented various artificial
intelligence solutions to improve and transform their business and solve challenges. The thesis
outlines the regulatory framework of aviation safety management, with a detailed description
of aviation safety management system. The role of artificial intelligence in aviation is
explained, and examples of systems and software tools with artificial intelligence applied in the
segment of aviation safety risk management are analyzed and presented. The review of the
future plans for the application of artificial intelligence in aviation safety risk management is
also provided.

• Keywords: upravljanje sigurnosnim rizicima; umjetna inteligencija; unaprjeđenje; zrakoplovstvo
• Keywords (english): safety risk management; artificial intelligence; improvement; aviation
• Language: croatian
• URN:NBN: urn:nbn:hr:119:610102
• Study programme: Title: Transport; specializations in: Road Transport, Rail Transport, Water Transport, Air Transport, Postal Transport, Information and Communication Traffic, Urban Transport; Course: Road Transport; Study programme type: university; Study level: graduate; Academic / professional title: sveučilišni/a magistar/magistra inženjer/inženjerka prometa (sveučilišni/a magistar/magistra inženjer/inženjerka prometa)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Open access
• Created on: 2024-12-05 13:38:06