ULOGA UMJETNE INTELIGENCIJE U UNAPREĐENJU INTELIGENTNIH TRANSPORTNIH SISTEMA ZA EFIKASNIJI PREVOZ PUTNIKA U URBANIM SREDINAMA
THE ROLE OF ARTIFICIAL INTELLIGENCE IN IMPROVING INTELLIGENT TRANSPORTATION SYSTEMS FOR MORE EFFICIENT PASSENGER TRANSPORT IN URBAN AREAS

Summary/Abstract: 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.

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