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UAE Transport

RTA tests AI to detect right-of-way damage on Dubai’s roads

Smart car with cameras and sensors also checks if road diversions meet approved standards



During a pilot run of the tech in Dubai, approaching a boat parked on the roadside as well as a roadworks sign
Image Credit: Supplied

Dubai: The Roads and Transport Authority (RTA) has launched a trial 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 the condition of the right-of-way and verifying the compliance of traffic diversions with RTA’s approved technical standards and specifications.

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It features cameras, sensors, and technical devices to detect damage to road furniture and facilities, generate reports, and upload them to the system automatically without human intervention.

Right-of-way refers to objects placed on the footpath, curb or area next to roads, with an RTA permit.

Hussain Al Banna, CEO of the Traffic and Roads Agency, said: “RTA is keen on improving the operational efficiency of monitoring and detecting damage to the right-of-way and response time. The deliverables will contribute to extending the lifespan and sustainability of assets and facilities while maintaining the urban aesthetic of Dubai."

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Faster inspections and reports

Al Banna added: “The smart vehicle has exceptional features that enhance the detection of right-of-way conditions and inspections of traffic diversions. It is equipped with automated technologies to detect damages and transmit data to the system for processing and analysis using pre-fed data and self-learning technology. It provides up to 30 per cent more comprehensive site coverage and reduces the time required to complete inspection elements by at least 70 per cent compared to traditional field inspections.”

Al Banna highlighted that generating reports on the extent of damage to the furniture and facilities of the right-of-way can achieve accuracy rates exceeding 85 per cent compared to traditional methods. It also facilitates the verification of traffic diversions and ensures their implementation according to approved specifications, ensuring smooth and safe traffic flow for road users.

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