Primjena umjetne inteligencije u autotransportu

master's thesis

• Title (english): The application of artificial intelligence in automotive transport
• Author: Kristian Marić
• Mentor: Mirjana Pejić Bach (mentor)
• Committee member: Nikola Vlahović (član povjerenstva)
• Committee member: Božidar Jaković (član povjerenstva)
• Committee member: Mirjana Pejić Bach (predsjednik povjerenstva)
• Granter: University of Zagreb; Faculty of Economics and Business; (Department of Informatics); Zagreb
• Defense date and country: 2024-04-15, 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: umjetna inteligencija; autotransport; optimizacija ruta; autonomna vozila; održivost; etički izazovi; interdisciplinarna suradnja
• Keywords (english): artificial intelligence; automotive transport; route optimization; autonomous vehicles; sustainability; ethical challenges; interdisciplinary collaboration
• Language: croatian
• URN:NBN: urn:nbn:hr:148:826223
• Study programme: Title: 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 resource: Text
• File origin: Born digital
• Access conditions: Access restricted to students and staff of home institution
• Created on: 2024-04-16 08:27:10