Abstract -Nowadays, with more and more cars and citizens, cities face serious problems with traffic jams, air pollution, and inefficient use of urban resources. Traditional fixed-time traffic control systems no longer cope with this issue. This paper discusses how new "smart" solutions for traffic management can improve the current situation on urban roads. The opinion of local residents was questioned using a survey to determine people's attitudes towards the application of smart systems, and car traffic data was analyzed with the purpose of understanding how cars move and where problems arise. Results point out that most people have a positive attitude to the use of smart systems but feel concerned about cost, privacy, and probable technical problems. Traffic data confirms findings of predictable traffic congestion patterns that can be minimized with better management. This study combines residents' opinions and real-world traffic data into a whole picture of how smart systems can work in a growing city. Its novelty lies in integrating social perceptions with actual traffic metrics, offering practical insights for planning and implementing more efficient, socially acceptable, and environmentally friendly urban traffic systems. The findings can be used by future projects to make urban traffic safer, faster, and more environmentally friendly.
Keywords - smart cities; traffic management; Artificial Intelligence; urban mobility; Internet of Things.
