This IRF Certified Training equips road professionals with practical AI tools for pavement assessment, predictive maintenance, digital twins, and traffic safety management — with a focus on Sub-Saharan Africa and Nigeria's highway programs. Participants leave with actionable strategies and an implementation roadmap for smarter, more resilient road networks.

Road network management aims to optimize the performance of the road network over the life cycle of its component infrastructure assets. In essence, it is a process that seeks to maintain and improve the performance of the infrastructure asset system. Road asset management is a key strategic approach enabling road authorities to optimize the performance of their assets.

This interactive IRF Non-Destructive Testing of Infrastructure Assets – GPRs, LIDARS, Thermal Photography, Drones training program equips participants with the basic asset management principles for infrastructure projects (roads, railroads, bridges, tunnels), and how non-destructive testing techniques are incorporated in infrastructures condition assessment, decision making, and optimization of maintenance, repair, and replacement of infrastructure assets.

This interactive IRF LIDAR and AI for Road Asset Management training program equips participants with the core knowledge on LIDAR application in highway asset management, and the incorporation of artificial intelligence (AI) principles in automated road condition assessment in conjunction with LIDARs.

IRF Road Asset Management training program equips participants with the practical strategies and tools required to effectively manage road networks throughout their lifecycle. Through dynamic lectures, guided exercises, and real-world case studies, attendees will learn how to make data-driven decisions, allocate resources efficiently, and perform risk assessments to optimize road performance and extend asset lifecycles.

This workshop is designed to provide a comprehensive knowledge of fundamental concepts and methods used in asset management to preserve a road network in a “State-of-Good-Repair”. Participants will learn about best asset management practices to maintain inventories, monitor functional and structural infrastructure performance, develop performance models, identify treatment and budget needs, prioritize resource allocation, and conduct life-cycle cost and risk assessment analysis to formulate cost-effective maintenance and rehabilitation strategies.