The Roads and Transport Authority (RTA) in Dubai has initiated a pilot program utilizing Artificial Intelligence (AI) to automatically detect damage along the right-of-way on city roads. The Authority highlighted in a social media update that this initiative also encompasses the inspection of traffic diversions. View the associated video shared by RTA on X.
Last year, Dubai authorities began employing AI to oversee and evaluate the performance of numerous public utility vehicles and their drivers. The Dubai Taxi Corporation (DTC), a subsidiary of RTA, reports that the smart system now monitors 7,200 vehicles, including taxis, limousines, school buses, commercial buses, and delivery bikes, as well as 14,500 drivers. Ammar Al Braiki, Director of Fleet Operations at DTC, notes that the AI capabilities of the DTC control center enable it to assess public transport demand and guide the allocation of taxis and public vehicles to areas in need.
RTA oversees traffic in Dubai through the Dubai Intelligent Traffic Systems (ITS) Center at Al Barsha, one of the world's largest and most advanced traffic control centers. This center utilizes innovative technologies and traffic management systems to support Dubai's growth and position it as a global leader in ITS, alongside cities like Singapore and Seoul. The Dubai ITS Centre is pivotal in managing Dubai's traffic, employing an integrated technology platform that leverages artificial intelligence, big data, the Internet of Things, advanced communication systems, and various monitoring devices to deliver smart services and collect vital data.
In addition to Dubai, Abu Dhabi employs AI-based systems to analyze crash data, enhancing road infrastructure and reducing accident response times, as well as detecting traffic violations. Authorities have successfully implemented AI systems to bolster traffic safety for road users. The Abu Dhabi Police, through the introduction of the Safe City Project four years ago, utilizes these advanced technologies and the latest developments in robotics and AI across all operational areas.
