Dubai has begun the implementation of a traffic management system powered by digital twin technology, becoming the first city in the Middle East to adopt Yutraffic FUSION.
The platform forms a key part of the emirate’s smart city agenda, using real-time simulation and data analytics to improve traffic efficiency, reduce emissions, and enable integrated multimodal transport.
At the heart of the system is a digital twin of Dubai’s transport network, a dynamic, real-time model that replicates and predicts traffic conditions across the city.
By drawing on a wide array of data sources, including historical traffic patterns and live sensor input, the system can simulate short-term scenarios and automatically adjust signal timings and network flows in response.
This approach allows traffic managers to anticipate disruptions such as congestion, incidents, or road closures, and respond proactively. It also facilitates more precise integration of multiple modes of transport, including public transit, cycling, micromobility, and pedestrian movement.
The project is being rolled out at key traffic hotspots across Dubai through a partnership between Yunex Traffic, local distribution partner Scientechnic, and the Roads and Transport Authority (RTA) Dubai.
The platform supports connected vehicle technologies and is designed to accommodate future advancements in autonomous transport.
Inspired by earlier implementations in cities such as London, where digital twin-enabled systems helped reduce travel times by up to 20%, Dubai aims to replicate and build upon these results within its own high-volume traffic environment.
With over three million vehicles on its roads during peak hours and hundreds of millions of annual public transport users, the city is investing in simulation-based tools to align mobility with broader environmental and infrastructure goals.
The deployment of Yutraffic FUSION marks a shift towards data-driven, adaptive traffic control in the region and reinforces Dubai’s efforts to position itself at the forefront of global smart city innovation.
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