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AI could help root out road damage—Dubai’s RTA is allowing it
RTA launches pilot operation for AI-assisted automated detection of right-of-way damage and traffic diversion inspection
Dubai’s roads have been experiencing increasing traffic and congestion caused by bottlenecks, resulting in traffic incidents.
To enhance the quality of the road network and improve traffic safety, Dubai’s Roads and Transport Authority (RTA) has launched a pilot operation using a vehicle designed for AI-assisted automated detection of damage to the right-of-way and inspection of traffic diversions on Dubai’s roads.
The smart vehicle is equipped with high-precision tools for collecting data about right-of-way conditions and verifying compliance with traffic diversions. It features cameras, sensors, and technical devices to detect damage to road furniture and facilities, generate reports, and upload them to the system.
Hussain Al Banna, CEO of the Traffic and Roads Agency, said that the operation provides up to 30% more comprehensive site coverage and reduces the time required to complete inspection elements by at least 70% compared to traditional field inspections.
He added that generating reports on the extent of damage to the furniture and facilities of the right-of-way can achieve accuracy rates exceeding 85% compared to traditional methods.
“The deliverables will contribute to extending the lifespan and sustainability of assets and facilities while maintaining the urban aesthetic of Dubai. This process will also enhance the performance of the infrastructure and road network across the emirate, support economic and population growth, and reinforce Dubai’s standing as an ideal and safe destination for residents and visitors,” he said.
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