Completed

Road Asset Management System (RAMS): AI & GIS for Infrastructure Management in Pakistan

Services Covered:

GIS Solutions • AI and Machine Learning • Android Application Development • iOS Application Development • Custom Software Development

Industry

Government & Public Safety

11 months

Budget

200K - 999K

Start Date

1 November 2024

Team Size

16-20

Engagement Model

Onshore

Project Capability Score (PCS)

N/A

Not Available

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Client

Adam Smith International

Peshawar, Pakistan

Project Summary

RAMS (Road Asset Management System) is an AI and GIS-enabled road asset intelligence platform developed by Centangle for public-sector infrastructure management. The platform digitizes road networks, centralizes asset and inspection data, uses computer vision to detect visible defects such as cracks and potholes, and provides GIS-based dashboards for monitoring road conditions and planning maintenance. RAMS brings road data, spatial mapping, AI-supported assessment, reporting, and maintenance workflows into one structured environment, helping infrastructure teams move from fragmented records and manual inspections toward more proactive, evidence-based decision-making.

Key Challenges

Road condition information was fragmented across field reports, spreadsheets, legacy records, and manual inspection formats, making it difficult to maintain a reliable view of infrastructure health. Heavy dependence on field surveys increased the time and effort required for monitoring, while inconsistent assessment formats made comparison and prioritization difficult. Decision-makers also lacked centralized spatial visibility into road conditions, defect locations, and maintenance priorities, resulting in a largely reactive approach to infrastructure maintenance.

Project Deliverables

AI-powered road defect detection using computer vision
GIS-based road network and asset mapping
Centralized road asset registry
Digital inspection and condition assessment workflows
Road condition and defect dashboards
Role-based dashboards and access controls
Maintenance prioritization and planning workflows
Reporting and infrastructure intelligence dashboards
Structured inspection and asset data management
Platform deployment and continuous improvement framework

Project Solution

Centangle developed RAMS as a governed AI and GIS-enabled road intelligence platform. The solution combines computer vision for AI-supported defect detection, GIS mapping for spatial analysis, a centralized road asset registry, inspection and condition records, role-based dashboards, reporting, and maintenance prioritization workflows. The platform provides a unified view of road networks, asset conditions, defects, inspection history, and maintenance requirements, enabling infrastructure teams to assess conditions more consistently and make evidence-based decisions across large road networks.

Project Outcome

RAMS digitized and enabled monitoring of more than 25,000 km of road infrastructure while reducing field survey effort by more than 60%. The platform provides infrastructure teams with a centralized view of road conditions, asset locations, defects, and maintenance priorities. By combining AI-supported defect detection with GIS-based visibility and structured workflows, RAMS helps shift road asset management from fragmented inspections and reactive reporting toward more proactive, data-backed infrastructure planning.