The Dubai Police today announced the launch of a comprehensive Dubai AI Traffic safety programme, marking a significant step in the emirate’s push toward fully intelligent urban mobility systems. The initiative, unveiled during an official briefing by senior law-enforcement and mobility officials, aims to improve road safety, optimise traffic flow and reduce accident rates across high-density transport corridors. Authorities confirmed that citywide rollout has already begun with the deployment of advanced AI sensors, real-time analytics platforms and automated enforcement tools. The announcement was accompanied by early operational data from trial runs conducted over recent months, showing measurable reductions in speeding violations and a 12 percent improvement in peak-hour signal efficiency. Officials identified the programme as part of Dubai AI Traffic Safety broader strategy to integrate AI into public services by 2030, positioning the emirate as a global leader in smart mobility innovation. AI System Capabilities and Deployment Strategy The newly launched system uses a network of machine-learning algorithms developed to analyse live traffic feeds, monitor vehicle movement patterns and detect speeding, tailgating or dangerous lane changes. According to Dubai AI Traffic Safety Police engineers, the AI models have been trained on millions of mobility data points collected from varied traffic conditions across the emirate, enabling predictive analysis and automated decision-making. Deployment began earlier this week across critical routes including Sheikh Zayed Road, Al Khail Road and major arterial networks connecting commercial districts. Early implementation phases focus on improving signal timing accuracy and reducing collision-prone bottlenecks. Officials reported that the system …