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master's thesis
Primjena umjetne inteligencije u autotransportu
Zagreb: University of Zagreb, Faculty of Economics and Business, 2024. urn:nbn:hr:148:826223
Marić, Kristian
University of Zagreb
Faculty of Economics and Business
Department of Informatics

Institutional repository: REPEFZG

Cite this document

Marić, K. (2024). Primjena umjetne inteligencije u autotransportu (Master's thesis). Zagreb: University of Zagreb, Faculty of Economics and Business. Retrieved from https://urn.nsk.hr/urn:nbn:hr:148:826223

Marić, Kristian. "Primjena umjetne inteligencije u autotransportu." Master's thesis, University of Zagreb, Faculty of Economics and Business, 2024. https://urn.nsk.hr/urn:nbn:hr:148:826223

Marić, Kristian. "Primjena umjetne inteligencije u autotransportu." Master's thesis, University of Zagreb, Faculty of Economics and Business, 2024. https://urn.nsk.hr/urn:nbn:hr:148:826223

Marić, K. (2024). 'Primjena umjetne inteligencije u autotransportu', Master's thesis, University of Zagreb, Faculty of Economics and Business, accessed 19 November 2024, https://urn.nsk.hr/urn:nbn:hr:148:826223

Marić K. Primjena umjetne inteligencije u autotransportu [Master's thesis]. Zagreb: University of Zagreb, Faculty of Economics and Business; 2024 [cited 2024 November 19] Available at: https://urn.nsk.hr/urn:nbn:hr:148:826223

K. Marić, "Primjena umjetne inteligencije u autotransportu", Master's thesis, University of Zagreb, Faculty of Economics and Business, Zagreb, 2024. Available at: https://urn.nsk.hr/urn:nbn:hr:148:826223

Metadata
TitlePrimjena umjetne inteligencije u autotransportu
Title (english)The application of artificial intelligence in automotive transport
AuthorKristian Marić
MentorMirjana Pejić Bach (mentor)
Committee memberNikola Vlahović (član povjerenstva)
Committee memberBožidar Jaković (član povjerenstva)
Committee memberMirjana Pejić Bach (predsjednik povjerenstva)
GranterUniversity of Zagreb
Faculty of Economics and Business
(Department of Informatics)
Zagreb
Defense date and country2024-04-15, Croatia
Scientific / art field,
discipline and subdiscipline		SOCIAL SCIENCES
Economics
Business Informatics
Abstract
Primjena umjetne inteligencije (AI) u autotransportu predstavlja revolucionarni korak prema povećanju efikasnosti, sigurnosti i održivosti. Kroz kombiniranu analizu stručnih intervjua, pregleda literature i empirijskih studija, ovaj rad istražuje kako umjetna inteligencija transformira industriju autotransporta. Istraživanje ukazuje na to da umjetna inteligencija omogućuje bolju analitiku podataka, optimizaciju ruta, autonomnu vožnju i napredno održavanje vozila. S druge strane, postoji niz izazova, uključujući etičke dileme, pravne regulative i potrebu za edukacijom radne snage. Rad predlaže holistički pristup integraciji ai u autotransport, naglašavajući važnost etičkih standarda, interdisciplinarne suradnje i neprestane adaptacije tehnologije. Konačni cilj je ostvariti sklad između tehnološkog napretka i društvenih vrijednosti, osiguravajući da umjetna inteligencija služi kao podrška, a ne zamjena za ljudski faktor u autotransportu.
Abstract (english)
The application of artificial intelligence in automotive transport marks a revolutionary step towards enhancing efficiency, safety, and sustainability. Through a combined analysis of expert interviews, literature review, and empirical studies, this paper explores how artificial intelligence is transforming the auto transport industry. The research indicates that artificial intelligence facilitates better data analytics, route optimization, autonomous driving, and advanced vehicle maintenance. On the flip side, there are several challenges, including ethical dilemmas, legal regulations, and the need for workforce education. The paper proposes a holistic approach to artificial intelligence integration in auto transport, emphasizing the importance of ethical standards, interdisciplinary collaboration, and continuous technology adaptation. The ultimate goal is to achieve harmony between technological progress and social values, ensuring that artificial intelligence serves as a support rather than a replacement for the human element in automotive transport.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:148:826223
Study programmeTitle: Business economics
Study programme type: university
Study level: integrated undergraduate and graduate
Academic / professional title: sveučilišni magistar ekonomije/sveučilišna magistra ekonomije (sveučilišni magistar ekonomije/sveučilišna magistra ekonomije)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to students and staff of home institution
Terms of useLicence In copyright icon
Created on2024-04-16 08:27:10