AI-assisted automated damage detection of vehicles has been initiated by Dubai's RTA

Roads and Transport Authority (RTA) has initiated a trial programme for AI-assisted automatic right-of-way damage identification on Dubai's roadways. The Authority also stated on social media that the operation included the inspection of traffic diversions.

In order to track and monitor the performance of thousands of public utility vehicles and their drivers, Dubai authorities began utilising artificial intelligence (AI) last year. Based on information provided by the Dubai Taxi Corporation (DTC), a division of the RTA, up to 7,200 vehicles—including delivery motorcycles, school buses, limos, and commercial buses—as well as 14,500 drivers are currently protected by the smart system.

According to Ammar Al Braiki, director of fleet operations at the DTC, the AI capabilities of the DTC control centre enable it to quickly assess demand for public transportation and assist the authorities in identifying which locations require taxis and public vehicles.

The RTA's Dubai Taxi Corporation (DTC) reports that 14,500 drivers and up to 7,200 vehicles—including delivery motorcycles, school buses, limos, and commercial buses—are now protected by the smart system.

The Dubai ITS Centre is an essential hub for traffic control in Dubai. With the use of big data, artificial intelligence, the Internet of Things, sophisticated communication systems, and a variety of monitoring tools, its integrated technological platform is able to collect vital data and deliver intelligent services. The centre is in charge of managing Dubai's present and future road networks and is equipped with an innovative traffic control system dubbed "iTraffic," which uses big data analytic tools and artificial intelligence (AI) to help decision-making.

Abu Dhabi also utilises AI-based systems to evaluate collision data in order to enhance road infrastructure, speed up accident reaction times, and identify infractions. The authorities also disclosed that they had been successful in implementing AI technologies to improve road user safety during traffic.