INTERNACIONALNI UNIVERZITET TRAVNIK U TRAVNIKU
SAOBRAĆAJNI FAKULTET TRAVNIK U TRAVNIKU
EKOLOŠKI FAKULTET TRAVNIK U TRAVNIKU
FAKULTET INFORMACIONIH TEHNOLOGIJA TRAVNIK U TRAVNIKU
FAKULTET POLITEHNIČKIH NAUKA TRAVNIK U TRAVNIKU
u saradnji sa
FAKULTETA ZA LOGISTIKO UNIVERZA V MARIBORU, SLOVENIJA
organizuju
33. MEĐUNARODNU KONFERENCIJU
"IZAZOVI NOVIH TEHNOLOGIJA U FUNKCIJI MOBILNOSTI I ODRŽIVOG RAZVOJA"
15. - 16. maj 2026. 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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