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How is Dubai’s RTA using AI to predict traffic congestion?
The laboratory draws on real-time data from more than 35 sources across multiple transport modes
Dubai’s Roads and Transport Authority (RTA) has launched a Transport Data Analysis Laboratory at its Enterprise Command and Control Centre (EC3), aimed at strengthening the emirate’s ability to monitor traffic conditions, anticipate congestion and respond proactively to transport challenges.
RTA said the laboratory will collect, monitor and analyze large volumes of transport data to produce specialized studies and reports supporting strategic and operational decision-making. The initiative is intended to enhance readiness for transport planning, major events and emergency situations, while supporting Dubai’s smart city ambitions and sustainable mobility goals.
The laboratory forms a core part of EC3’s role as an integrated platform linking RTA’s control centers. By consolidating operational monitoring within a single system, it applies artificial intelligence and predictive models to analyze scenarios, deliver proactive solutions and improve response times during peak periods and large-scale events.
The laboratory draws on real-time data from more than 35 sources across multiple transport modes, including public transport, marine services, taxis, soft mobility and private vehicles. It automates more than 150 operational performance indicators to improve coordination, planning and policy evaluation.
Mohammed Al Ali, Director of the Enterprise Command and Control Centre, said the facility strengthens integration between monitoring systems and artificial intelligence, converting operational data into predictive indicators that support faster and more accurate decision-making.
He added that the indicators are designed to improve traffic flow, operational efficiency and the overall sustainability of the transport system, in line with RTA’s vision for safe and seamless mobility.
RTA said the laboratory has already been used to analyze traffic patterns during major events, including GITEX 2025, helping identify congestion points and support measures to ease traffic around key venues. The insights are expected to inform planning for future events and seasonal peaks.
The facility has also supported the identification of locations with higher risks of recurring traffic accidents, enabling corrective measures to be implemented in coordination with relevant authorities, RTA said, adding that the approach is expected to enhance road safety across Dubai’s network.




















