The Use of Artificial Intelligence for Improving Traffic Management in Intermatic

Authors

Tadej Gorta
University of Maribor, Faculty of Organizational Sciences
Sašo Živković
Intermatic, d. o. o
Goran Vukovič
University of Maribor, Faculty of Organizational Sciences
DOI: https://doi.org/10.18690/um.fov.7.2026.6

Synopsis

This research focused on the possibilities of using artificial intelligence in traffic management. The topic of the research originates from everyday situations in which users frequently encounter traffic congestion, traffic restrictions, and systems that, in their opinion, are not always fully adapted to actual road conditions. The aim of the research was to determine whether artificial intelligence could represent meaningful support in traffic management and in which areas its use could be most beneficial. To obtain data, a survey was conducted among traffic infrastructure users, and expert opinion from the field of traffic planning was obtained. Descriptive statistics and interpretation of collected responses were used for the analysis. The results showed that participants frequently perceive issues related to traffic flow and traffic restrictions, while generally expressing a positive attitude toward intelligent traffic systems. Particularly strong support was observed for adaptive traffic light management. The main concern raised by participants was the possibility of system errors and system reliability. Based on the research, it can be concluded that artificial intelligence represents an interesting opportunity for the further development of traffic systems, especially as support for monitoring, adaptation, and prediction of traffic conditions.

Author Biographies

Tadej Gorta, University of Maribor, Faculty of Organizational Sciences

Tadej Gorta is a third-year student of the Management Information Systems study programme at the Faculty of Organizational Sciences, University of Maribor. Before enrolling at the Faculty of Organizational Sciences, he completed the Computer Technician programme at the Secondary School Domžale. His academic and research interests include artificial intelligence, information systems, data analytics, and the use of digital solutions for solving practical problems. Alongside his studies, he also performs occasional work in the field of information technology. In the future, he plans to continue his education through a master’s programme and further explore the fields of artificial intelligence, modern information technologies, and their practical applications.

Kranj, Slovenia. E-mail: tadej.gorta@student.um.si

Sašo Živković, Intermatic, d. o. o

Sašo Živkovič is the director of Intermatic Ltd., a company operating in the field of traffic technologies, road safety systems, and digital traffic management solutions. He actively participates in the development and implementation of intelligent transport systems and promotes cooperation between industry, research, and education. His work focuses on improving road safety, supporting data-driven decision-making, and developing innovative traffic solutions.

Ljubljana, Slovenia. E-mail: saso@intermatic.si

Goran Vukovič, University of Maribor, Faculty of Organizational Sciences

Prof. dr. Goran Vukovič is a full professor of marketing and human resources at the Faculty of Organizational Sciences of the University of Maribor. As an expert, he covers the areas of human resources, teams, marketing and purchasing through his research, project and consulting work. He is the author of scientific monographs, professional and scientific articles, a reviewer, translator, editor, invited lecturer at foreign universities and a regular participant in conferences in the field of research at home and abroad. He participates in projects or leads EU projects such as MODI, MLAB, Model Implementation (LACORE), European Territorial Cooperation through Technology and Science, etc. Bibliography: COBISS printout contains 671 units.

Kranj, Slovenia. E-mail: goran.vukovic@um.si

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Volume

Prometna varnost v lokalnem okolju: problemsko-učno sodelovanje z Intermatic d.o.o.

Pages

283-324

Published

July 22, 2026

Categories

Copyright (c) 2026 University of Maribor, University of Maribor Press

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

Gorta, T., Živković, S., & Vukovič, G. (2026). The Use of Artificial Intelligence for Improving Traffic Management in Intermatic. In M. Marič & S. Živković (Eds.), Prometna varnost v lokalnem okolju: problemsko-učno sodelovanje z Intermatic d.o.o. (pp. 283-324). University of Maribor Press. https://doi.org/10.18690/um.fov.7.2026.6