The historic city center of Žilina is taking smart steps to optimize the entry and movement of vehicles through its pedestrian zone. Using data-driven insights and intelligent technology, the city is working to regulate access more effectively, improve urban logistics, and make more efficient use of its limited public space.
Researchers analyzed extensive data on vehicle entries and exits collected via a monitoring device managed by city authorities. This data formed the foundation for proposed traffic and organizational measures aimed at reducing congestion, improving deliveries, and enhancing the overall functionality of the pedestrian area.
A central feature of the proposed improvements is the deployment of an AI-powered camera system. This system would enable real-time monitoring of vehicle movements, support enforcement through automated license plate recognition, and assist municipal staff by flagging violations like unauthorized entries or misuse of parking permits.
While automated systems offer advanced control, the study also highlights current limitations. For instance, even with license plate recognition in place, technical issues, and user misuse—such as forged parking cards—persist. This underlines the need not just for smarter tools, but also for robust enforcement and reliable data.
Urban logistics planning depends on knowing how traffic behaves. In Žilina, entry peaks between 8:00 and 9:00 AM, while weekend traffic drops significantly—Saturday volumes are two-thirds of weekday levels, and Sunday sees only half the typical load. These insights inform both daily regulation and long-term logistics strategy.
Ultimately, even a basic permit-based system can control access, but a comprehensive AI-enabled approach offers greater potential. By automating monitoring and improving enforcement, Žilina aims to reduce misuse, free up space, and create a smoother, more sustainable logistics flow in its historic heart.