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Road Riding Quality Monitoring System-Monitoring Made Simple

Vidyashankar MK

Vidyashankar MK

State Quality Coordinator
Karnataka Rural Road Development Agency (KRRDA)

Dedicated to improving rural road infrastructure through innovative technology solutions and data-driven quality monitoring systems.

Message from the Creator

Dear Users,

I am happy to present PaveSense, a cost effective Road Riding quality monitoring system designed to transform how we assess and maintain our road infrastructure. As a State Quality Coordinator at Karnataka Rural Road Development Agency (KRRDA), I have witnessed firsthand the challenges in monitoring road conditions across vast rural networks.

PaveSense was born from a simple yet powerful vision: to make road quality assessment accessible, accurate, and actionable. By leveraging smartphone sensors and GPS technology, we've created a tool that empowers every driver to become a road quality surveyor. This approach not only reduces monitoring costs but also provides real-time, comprehensive data coverage.

"Good roads are not just about connectivity; they are about dignity, opportunity, and progress for rural communities."

The data you collect while driving helps government agencies prioritize maintenance, allocate resources efficiently, and ultimately build safer, smoother roads for everyone. Every trip you make with PaveSense contributes to a larger mission of infrastructure excellence.

This project represents countless hours of research, development, and field testing. However, it is only through your active participation and valuable feedback that PaveSense can truly reach its potential. Your insights help us refine algorithms, improve user experience, and expand the system's capabilities.

Thank you for being part of this journey towards smarter, data-driven road infrastructure management. Together, we are paving the way for better roads and better lives.

With warm regards,
Vidyashankar MK

Smart Detection

Uses smartphone sensors to accurately measure road vibrations and quality in real-time.

GPS Mapping

Precise location tracking to map road quality data with geographical coordinates.

Data Analytics

Advanced algorithms calculate PCI scores and classify road conditions into quality bands.

Cloud Sync

Automatic data synchronization to centralized servers for comprehensive analysis.