AI-Powered Road Surveys to Enhance City’s Infrastructure Management

11 Mar 2025 CW Team

The collected data will be mapped on a web-based GIS platform, providing a bird’s-eye view of road conditions with images, maps, charts, and graphs to assist officials in visualising the findings. Additionally, the data will be uploaded into the mobile RoadMetrics data collection app for seamless access.

The reports generated will offer insights into various road defects, including minor, moderate, and severe potholes, alligator cracks, and vertical and horizontal cracks, classified from level 0 to 4, indicating early to late-stage deterioration. This analysis will also include calculations for road maintenance budgets and recommendations for necessary repairs.

Furthermore, the initiative will incorporate pavement assessment and asset mapping through a colour-coded segmentation view. This feature will highlight stretches requiring immediate attention and provide a detailed list of over 50 types of street signages, traffic signals, and other assets such as lighting, following the Ministry of Road Transport and Highways (MoRTH) guidelines.

The implementation of this technology is expected to significantly enhance the decision-making process for road maintenance by providing timely, data-driven insights. As RoadMetrics officials stated, “This initiative is expected to ensure timely and data-driven decisions for the upkeep of the city’s road infrastructure.”

With AI-backed tools and detailed reporting, the project aims to streamline road maintenance efforts and improve urban infrastructure management.

In a bid to improve the quality of road infrastructure, RoadMetrics is set to deploy advanced technology for conducting comprehensive road condition surveys. A dedicated person from RoadMetrics will be assigned to carry out the surveys using smartphones and GoPro cameras, gathering video data of roads and footpaths. This data will then be processed and analysed by AI algorithms to generate detailed reports on road conditions. The collected data will be mapped on a web-based GIS platform, providing a bird’s-eye view of road conditions with images, maps, charts, and graphs to assist officials in visualising the findings. Additionally, the data will be uploaded into the mobile RoadMetrics data collection app for seamless access. The reports generated will offer insights into various road defects, including minor, moderate, and severe potholes, alligator cracks, and vertical and horizontal cracks, classified from level 0 to 4, indicating early to late-stage deterioration. This analysis will also include calculations for road maintenance budgets and recommendations for necessary repairs. Furthermore, the initiative will incorporate pavement assessment and asset mapping through a colour-coded segmentation view. This feature will highlight stretches requiring immediate attention and provide a detailed list of over 50 types of street signages, traffic signals, and other assets such as lighting, following the Ministry of Road Transport and Highways (MoRTH) guidelines. The implementation of this technology is expected to significantly enhance the decision-making process for road maintenance by providing timely, data-driven insights. As RoadMetrics officials stated, “This initiative is expected to ensure timely and data-driven decisions for the upkeep of the city’s road infrastructure.” With AI-backed tools and detailed reporting, the project aims to streamline road maintenance efforts and improve urban infrastructure management.

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