INTERNACIONALNI UNIVERZITET TRAVNIK U TRAVNIKU
EKONOMSKI FAKULTET TRAVNIK U TRAVNIKU
PRAVNI FAKULTET TRAVNIK U TRAVNIKU
FAKULTET ZA MEDIJE I KOMUNIKACIJE TRAVNIK U TRAVNIKU
u saradnji sa
MIT UNIVERZITET SKOPLJE, SJEVERNA MAKEDONIJA
VEVU, VELEUČILIŠTE LAVOSLAV RUZIČKA U VUKOVARU, HRVATSKA
VELEUČILIŠTE VIMAL, SISAK, HRVATSKA
CKKPI, TRAVNIK, BOSNA I HERCEGOVINA
organizuju
31. MEĐUNARODNU KONFERENCIJU
EKONOMSKE, PRAVNE I MEDIJSKE INTEGRACIJE BOSNE I HERCEGOVINE I ZEMALJA ZAPADNOG
BALKANA KAO KLJUČNI POKRETAČ EUROPSKIH VRIJEDNOSTI
12. – 13. decembar 2025. godine
Fakultet politehničkih nauka Travnik, Internacionalni univerzitet Travnik u Travniku , Travnik , Bosnia and Herzegovina
Artificial intelligence (AI) is becoming a key element in enhancing transportation systems, enabling automation, optimization, and real-time traffic flow prediction. Its application in Intelligent Transportation Systems (ITS) contributes to more efficient passenger transport in urban areas, where infrastructure fails to keep up with growing demand, leading to frequent traffic congestion and bottlenecks.This paper will describe how advanced AI algorithms and deep learning models enable traffic analysis, congestion prediction, and route optimization, improving the reliability and efficiency of public transportation. The integration of AI into ITS not only optimizes traffic flows but also enhances sustainability by reducing emissions and improving energy performance. Data-driven smart solutions make transportation safer, more environmentally friendly, and better suited to user needs.
Artificial Intelligence (AI), Intelligent Transportation Systems (ITS), Passenger Transport, Traffic Optimization, Public Transport Efficiency
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