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December 2, 2024

Driving Road Rehabilitation with Artificial Intelligence: The SPARK Programme

“Preventative maintenance is the cornerstone of SPARK,” said OPM in June 2024. The Shared Prosperity Through Accelerated Improvement to our Road Network (SPARK) programme, a J$40 billion initiative, aims to revolutionize Jamaica’s road infrastructure. Over two years, SPARK will establish a real-time Geographic Information Systems (GIS) database to guide preventive maintenance and long-term planning. The programme will fund critical improvements, including pavement resurfacing, drainage upgrades, waterline enhancements, retaining walls, and intersection upgrades. SPARK is set to rehabilitate over 700 kilometers of secondary and local roads, delivering more durable roads with lifespans of 7–15 years, ultimately driving development and prosperity across Jamaica.

Addressing Funding Challenges

SPARK will address just 5% of the nation’s 18,000 kilometers of roads currently in poor condition. With an estimated J$30 billion needed annually to fix Jamaica’s road network, and only J$7 billion allocated by the Ministry of Finance each year, the programme will have to stretch its resources. Prioritization and cost-efficient repair methods will be critical to ensuring some measure of success.

Leveraging Artificial Intelligence for Efficiency

Snippet from an analysed image

As part of the SPARK programme, CEAC is integrating artificial intelligence (AI) into road condition assessments to improve efficiency and precision. AI-powered tools analyze road surfaces, drainage systems, and structural integrity by processing video footage to identify and categorize road features and defects. Key elements identified by the AI include:

  • Sidewalks: Marked in yellow
  • Street signs: Marked in purple
  • Moderate wear and tear (fretting): Highlighted in blue
  • Rutting and depressions: Indicated in green
  • Spot patching needs: Marked in deep pink

This detailed classification will allow CEAC to prioritize road repairs based on defect severity, ensuring resources are allocated where they are needed most. Roads requiring minor repairs can be quickly addressed, while stretches needing major rehabilitation are strategically planned.

AI detection of road conditions (red and orange ~ failure) and ∆ = potholes

Smarter Design with Advanced Tools

By combining satellite imagery, soil and rainfall data, as well as on-the-ground video footage in a GIS, CEAC’s engineers gain a comprehensive understanding of road conditions before verification fieldwork begins. This highly targeted approach maximizes efficiency and resource use.

Raising the Bar in Engineering

CEAC’s AI-driven methodology not only improves the accuracy of road assessments but also sets a benchmark for innovation in road rehabilitation. This technology will empower CEAC to deliver higher-quality results for the SPARK programme and transform how Jamaica maintains, and sustains its infrastructure for the future.

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