Yunex Traffic Upgraded Systems in Europe
Adaptive control technology has been implemented across major intersections in Belgrade and Brno.
Updated on Oct. 1, 2026 in Cultural
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Yunex Traffic has deployed new adaptive control systems across 400 intersections in Belgrade and advanced digital twin technology in Brno. These initiatives aim to reduce congestion while enhancing the efficiency of public transport networks.
Why it matters
Modernizing urban traffic management is essential for improving overall flow and reducing delays in densely populated metropolitan areas. These upgrades leverage real-time data to prioritize public transit and streamline pedestrian safety.
The Belgrade project encompasses 160 trams, 20 buses, and 1,300 pedestrian push buttons. Meanwhile, the Brno digital twin module aims to provide rolling traffic forecasts covering a 60-minute window.
The players
Yunex Traffic
This company provides intelligent traffic management solutions and infrastructure technology for cities worldwide.
Aimsun
This firm specializes in transportation modeling software and digital simulation for urban road network management.
The details
In Belgrade, signal timings now adjust automatically based on real-time traffic conditions to facilitate better movement. Simultaneously, Brno is collaborating with Aimsun to create a digital twin of its road network to evaluate performance across 10 specific congestion hotspots.
Timeline
2016: The city of Brno established its current traffic information centre.
The Big Picture
The adoption of Aimsun Live digital twin software in Brno marks a shift from reactive signal management to predictive urban planning. This implementation follows the industry trend of using digital twins to test traffic scenarios before applying them to physical road networks.
Commuters in Belgrade can expect reduced wait times at signals and improved reliability for tram and bus services. Drivers in Brno may see long-term benefits as the city uses predictive data to mitigate traffic buildup at high-congestion locations.
The takeaway
Integrating adaptive signal timing allows cities to maximize the capacity of existing road networks without requiring extensive new construction. By combining real-time sensors with predictive modeling, urban planners can effectively balance the needs of drivers, public transit, and pedestrians.
Further reading
Learn more about evolving urban infrastructure in the Cultural section.
Source note: This article includes information reported by ITS International.
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