Transforming Doha’s Road Network with RoadVision AI

A Growing City with a Growing Challenge

Doha, the rapidly expanding capital of Qatar, is known for its world-class infrastructure and modern highways. But with growth comes new challenges — particularly in maintaining road quality as traffic volume increases and aging surfaces begin to show wear.

Qatar and its capital Doha have a vast and ever-expanding urban road network that spans thousands of kilometers. This network is critical to economic movement and public safety. However, relying on traditional road inspections, which are labor-intensive and time-consuming, made it difficult for authorities to monitor the entire network consistently and proactively.

To meet these demands, a road management company in Doha needed a faster, smarter, and scalable road inspection system that could deliver data-driven insights — and that’s where RoadVision AI stepped in.

The RoadVision AI Initiative: Intelligent Road Maintenance at Scale

RoadVision AI deployed its AI-powered road inspection system across a wide area of Doha’s road network — covering a total of 267.56 kilometers of roadway.

Unlike traditional road condition surveys, RoadVision’s Pavement Condition Survey used off-the-shelf dashcams mounted on regular vehicles. These dashcams recorded high-resolution video while driving at normal traffic speeds — with no traffic disruptions, no lane closures, and no specialized survey vehicles required.

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Road Corridors Covered in the Inspection

The AI road condition survey spanned multiple zones and corridors, including:

• Al Rayyan Al Jadeed, Ar-Rayyan → Furousiya St, Doha
• Al Waab → Fereej Al Soudan, Doha
• Muraikh → Al Sadd, Doha
• Al Luqta St, Ar Rayyan → Khalifa St, Doha
• Fereej Al Amir → Fereej Al Amir, Doha
• Ar-Rayyan → Ar-Rayyan, Qatar
• And several other arterial and secondary roads across Doha

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How the Technology Worked?

1. Data Collection

Dashcams mounted on everyday vehicles captured continuous video footage of road conditions during routine travel.

2. Cloud Processing & AI Analysis

The footage was uploaded to the RoadVision cloud, where advanced AI models scanned every frame to detect visible road surface defects.

3. Automated Defect Detection

The AI system accurately identified signs of:

• Cracks
• Ravelling
• Surface deformation
• Patching issues
• Settlements and other pavement distresses

4. Defect Classification and Scoring

All defects were automatically categorized by type and severity using deep learning models trained on global road defect datasets.

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Key Highlights from the Doha Inspection

• Total Road Length Inspected: 267.56 km
• Total Defects Detected: 14,466

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Most Common Issues Identified:

• Ravelling
• Cracking
• Rutting
• Potholes
• Shoving
• Settlement
• Patching failures

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Severity Assessment:

• 61% of defects were low severity, requiring preventive maintenance
• High-severity issues were limited but mapped for urgent intervention

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Benefits & Impact of the RoadVision AI Approach

• Zero Traffic Disruption – Survey vehicles drove at normal speeds without lane closures
• No Specialized Equipment Needed – Utilizes existing vehicles with dashcams
• Data-Driven Maintenance Planning – Local authorities receive visual dashboards and downloadable defect maps
• Faster Decision-Making – High-speed processing reduces time between inspection and repair
• Scalable Across Cities and Regions – Easily deployable on a large scale
• Automated Compliance Reporting – Supports maintenance standards aligned with global road codes
• Supports Asset Management Systems – Easily integrated into digital infrastructure platforms
• Improved Safety – Early detection of potential accident risks ensures safer roads

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Conclusion: Smarter Roads, Safer Cities

This large-scale AI pilot project in Doha demonstrates how artificial intelligence is transforming road asset management. By shifting from manual, reactive road inspections to automated, predictive maintenance planning, authorities gain a powerful tool to:

• Prioritize repairs
• Reduce costs
• Improve public safety

The impact is clear: smarter inspections lead to smarter cities.
What started in Doha is now scaling beyond borders.

RoadVision AI is leading innovation in AI in road maintenance, providing a smart, automated solution for managing road networks. It conducts detailed traffic surveys and generates high-quality road data for early detection of issues such as surface cracks and the need for potholes repair. This technology-driven platform brings the power of AI in road planning and monitoring to enhance road safety. Fully compliant with IRC Codes and aligned with Doha's road rules and regulations, RoadVision AI supports infrastructure planning that meets the needs of modern roads.

Crafted with innovation in India, designed to drive global transformation in AI road asset management.

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Book a Demo with RoadVision AI

Experience how AI-powered road inspection systems can help you maintain road networks faster, safer, and more cost-effectively.

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