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master's thesis
Inteligentno upravljanje prometnim raskrižjima zasnovano na računalnom vidu
Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2024. urn:nbn:hr:200:707724
Borovac, Edvin
Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Computer Engineering and Automation
Chair of Automation and Robotics

Institutional repository: Faculty of Electrical Engineering, Computer Science and Information Technology Osijek

Cite this document

Borovac, E. (2024). Inteligentno upravljanje prometnim raskrižjima zasnovano na računalnom vidu (Master's thesis). Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek. Retrieved from https://urn.nsk.hr/urn:nbn:hr:200:707724

Borovac, Edvin. "Inteligentno upravljanje prometnim raskrižjima zasnovano na računalnom vidu." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2024. https://urn.nsk.hr/urn:nbn:hr:200:707724

Borovac, Edvin. "Inteligentno upravljanje prometnim raskrižjima zasnovano na računalnom vidu." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2024. https://urn.nsk.hr/urn:nbn:hr:200:707724

Borovac, E. (2024). 'Inteligentno upravljanje prometnim raskrižjima zasnovano na računalnom vidu', Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 17 February 2025, https://urn.nsk.hr/urn:nbn:hr:200:707724

Borovac E. Inteligentno upravljanje prometnim raskrižjima zasnovano na računalnom vidu [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2024 [cited 2025 February 17] Available at: https://urn.nsk.hr/urn:nbn:hr:200:707724

E. Borovac, "Inteligentno upravljanje prometnim raskrižjima zasnovano na računalnom vidu", Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2024. Available at: https://urn.nsk.hr/urn:nbn:hr:200:707724

Metadata
TitleInteligentno upravljanje prometnim raskrižjima zasnovano na računalnom vidu
Title (english)Intelligent management of traffic intersections based on computer vision
AuthorEdvin Borovac
MentorRatko Grbić (mentor)
Committee memberRatko Grbić (predsjednik povjerenstva)
Committee memberMario Vranješ (član povjerenstva)
Committee memberMarijan Herceg (član povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
(Department of Computer Engineering and Automation)
(Chair of Automation and Robotics)
Osijek
Defense date and country2024-09-30, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Artificial Intelligence
Abstract
Glavni cilj ovog diplomskog rada bio je razviti sustav za inteligentno upravljanje semaforima koji smanjuje vrijeme čekanja vozila i povećava protočnost prometa na raskrižjima. Tradicionalni sustavi upravljanja semaforima često stvaraju nepotrebne zastoje u prometu. Predloženo je rješenje koje na temelju računalnog vida prilagodljivo upravlja semaforima. U radu je analizirano simulacijsko okruženje CARLA simulatora te su pojašnjeni osnovni principi stvaranja prometa i RGB kamera s kojima se snimala svaka traka prometnog raskrižja. U radu su detaljno prikazani razvojni koraci implementacije, uključujući postavljanje prometnih scenarija unutar simulatora, odabir prikladnog detektora objekata za detekciju vozila te integraciju detektora u simulacijsko okruženje. Podaci prikupljeni putem računalnog vida se obrađuju kako bi se prilagodila trajanja semaforskih ciklusa, čime se optimizira protok prometa. Sustav za inteligentno upravljanje semaforima na prometnom raskrižju prilagođava semaforske cikluse u stvarnom vremenu na temelju trenutnog broja vozila u svakoj traci. Evaluacija sustava obavljena je stvaranjem različitih prometnih scenarija na temelju kojih se usporedio rad sustava za inteligentno upravljanje semaforima s tradicionalnim načinom upravljanja semaforima. Rezultati evaluacije sustava pokazali su značajno smanjenje prosječnog vremena čekanja po vozilu te je povećana ukupna protočnost prometa na prometnom raskrižju.
Abstract (english)
The main goal of this thesis was to develop a system for intelligent traffic light management that reduces vehicle waiting time and increases traffic flow at intersections. Traditional traffic light management systems often cause unnecessary traffic jams. The proposed solution uses computer vision to adaptively control the traffic lights. The thesis analyzes the simulation environment of the CARLA simulator and explains the basic principles of traffic generation and the RGB cameras used to record each lane of the traffic intersection. The paper provides a detailed description of the development steps, including setting up traffic scenarios within the simulator, selecting an appropriate object detector for vehicle detection, and integrating the detector into the simulation environment. Data collected through computer vision is processed to adjust traffic light cycle durations, optimizing traffic flow. The intelligent traffic light management algorithm adjusts the traffic light cycles in real-time based on the current number of vehicles in each lane. The system evaluation was performed by creating different traffic scenarios to compare the performance of the intelligent traffic light management algorithm with the traditional traffic light management method. The evaluation results showed a significant reduction in the average vehicle waiting time and an overall increase in traffic flow at the intersection.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:200:707724
Study programmeTitle: University Study Automobile Computer and Communication
Study programme type: university
Study level: graduate
Academic / professional title: sveučilišni/a magistar/magistra inženjer/inženjerka automobilskog računarstva i komunikacija (sveučilišni/a magistar/magistra inženjer/inženjerka automobilskog računarstva i komunikacija)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2024-10-04 08:38:31