Road agencies collect more operational data than ever, yet decision-makers often face inconsistent definitions, unclear ownership, competing dashboards, and measures that do not connect to policy outcomes. Effective KPIs create a shared language for service delivery, expose performance gaps, and guide investment, staffing, operator oversight, and continuous improvement.
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.
This intensive 5-day course provides a comprehensive foundation in managing complex infrastructure projects, with a focus on roadway, bridge, and tunnel developments. Participants will explore the full project life cycle—from initiation through planning, execution, monitoring, and closure—while gaining practical tools in work breakdown structures, project delivery methods (Design-Bid-Build, Design-Build, ABC), contracting, prequalification, and bonds.
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 cutting-edge course is designed for roadway professionals looking to leverage the power of data science and digital twin technology in the field of road infrastructure. It offers a practical approach to understanding and implementing digital twins – virtual replicas of physical road systems – for enhanced decision-making, predictive maintenance, and improved road safety. The course covers the fundamentals of data science and its application in creating and managing digital twins, focusing on real-world challenges in road infrastructure. Participants will learn about data collection, analysis, modeling, and the integration of IoT technologies.
The main goal of this online training is to introduce the fundamentals of Digital Twins for road infrastructure. Different aspect of transportation infrastructure digital twins in terms of performance data sources, performance monitoring and decision making will be discussed. Moreover, the main tools to build a digital twin for roadways will be introduced to showcase their capabilities in digitizing and visualizing the asset performance.
The main goal of this online training is to introduce the fundamentals of intelligent construction techniques for road infrastructure. Different aspect of road infrastructure construction in terms of machinery and equipment, data sources, performance monitoring and decision making will be discussed.
The main goal of this online training is to introduce the fundamentals of Digital Twins for road infrastructure. Different aspect of transportation infrastructure digital twins in terms of performance data sources, performance monitoring and decision making will be discussed. Moreover, the main tools to build a digital twin for roadways will be introduced to showcase their capabilities in digitizing and visualizing the asset performance.
