PRIMENA VEŠTAČKE INTELIGENCIJE ZA UNAPREĐENJE BEZBEDNOSTI SAOBRAĆAJA
Abstract
The paper focuses on the application of artificial intelligence (AI) in traffic safety, particularly emphasizing the use of machine learning and computer vision technologies. It explores key methods that enable the prediction of traffic accidents, identification of risky drivers, real-time hazard detection, and automated traffic management systems. The work also highlights the role of sensors and IoT data in improving safety and efficiency, as well as the contribution of autonomous vehicles to reducing road traffic risks.
Fields of Study & Subjects
Autonomous Vehicle Technology and Safety
IoT and GPS-based Vehicle Safety Systems
Traffic and Road Safety
Publication details
- Journal / source
- Zbornik radova Fakulteta tehničkih nauka u Novom Sadu
- Volume
- 40
- Issue
- 10
- Pages
- 1069–1072
- Publication date
- 2 January 2026