AI-Powered Road Asset Management with AWS for Jalandhar Smart City

Customer challenge

Jalandhar Smart City faced major challenges in managing and maintaining road infrastructure efficiently. Traditional maintenance methods were time-consuming, costly, and reactive, leading to delays and deteriorating road quality. A smart, data-driven approach was essential to optimize road asset management and enhance urban mobility.

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Solution with AWS

Indika AI deployed an AI-based Road Asset Management system powered by AWS cloud solutions, enabling seamless monitoring and predictive maintenance. The implementation included:

• Amazon SageMaker for AI-driven road condition analysis.
• AWS IoT to collect and process real-time data from road sensors.
• Amazon S3 for secure and scalable infrastructure data storage.
• AWS Lambda for automated issue detection and maintenance alerts.

This AWS-driven solution provided real-time tracking, automated maintenance scheduling, and data-driven decision-making, ensuring proactive road management.

Impact & Results

✅ 30% reduction in maintenance costs with predictive AI insights.
✅ 50% faster issue detection, leading to quicker road repairs.
✅ Improved road quality, ensuring better infrastructure longevity.
✅ Enhanced urban mobility, setting a new standard for smart city development.

By leveraging AWS-powered AI, Jalandhar Smart City transformed its road infrastructure management, making it more efficient, cost-effective, and sustainable.

🚀 Partner with Indika AI for AI-driven smart city solutions powered by AWS.