Next Generation Road Asset Management

Smart Strategies for Resilient and High-Performing Road Networks

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  • Course code : AM-F2
  • Delivery: Online/Live
  • Language: English 
  • Starting Date:
    13 October 2026
  • Registration Deadline:
    1 October 2026
  • Total Duration:
    12 Hours (4x3 classes) 
  • Price :
    IRF Members : 850 CHF
    Others : 1100 CHF


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This course explores how modern road agencies are evolving from reactive maintenance approaches toward smarter, performance-driven asset management strategies. Combining core asset management principles with emerging practices in predictive maintenance, risk-based interventions and digital tools, the course provides participants with practical frameworks for making better investment and maintenance decisions across diverse road networks..

Learning Outcomes

By the end of the course, participants will be able to :

Define levels of service and performance objectives for different classes of road networks 

Use performance indicators and multi-criteria approaches to support investment decisions

Apply core road asset management principles to support long-term network performance

Explain how predictive analysis and data-driven tools are changing asset management practice 

Understand how condition assessment, risk and lifecycle analysis inform maintenance priorities

Identify where digital twins, monitoring systems and emerging technologies can add operational value

Target Audience

This course is designed for intermediate-level professionals involved in the planning, maintenance, operation and management of road infrastructure assets who are seeking to modernise asset management practices and improve long-term network performance.
Road agency managers and engineers responsible for maintenance and asset performance
Asset management and pavement management professionals
Infrastructure planners and investment decision-makers
MDB and donor organisation specialists involved in transport infrastructure programmes
Consultants and technical advisors supporting road maintenance and rehabilitation strategies

Course Structure

Class 1 : Foundations of Modern Road Asset Management :
Tuesday 13 October 2026, 14:00-17:15 CET

Understand how modern asset management frameworks support safer, more reliable and resilient road networks.

Key topics:

  •  Why Asset Management is evolving
  • International frameworks & maturity models
  • Defining service levels for different classes of roads
  • Linking asset performance to user expectations and network function
  • Lifecycle thinking and whole-life cost considerations
  • Introduction to RAMS principles in road infrastructure
  • Asset governance and institutional responsibilities
  • Why safety, resilience and operational performance increasingly influence asset management decisions
  • Common implementation challenges in low-capacity environments

Class 2 : Condition Assessment, Risk and Performance Monitoring :
Thursday, 10 September 2026, 14:00-17:15 CET 

How agencies assess infrastructure condition, identify critical risks, and prioritise interventions.

Key topics:

  • Condition assessment fundamentals for road infrastructure assets
  • Asset inventories, inspections and monitoring approaches
  • Understanding deterioration mechanisms and failure risks
  • Selecting meaningful performance indicators
  • Integrating safety and climate vulnerability into asset assessments
  • Risk-based approaches to maintenance prioritisation
  • Multi-criteria analysis for competing investment needs
  • Service Level Agreements (SLAs) and performance-based maintenance approaches
  • Using operational and condition data to support better decisions
  • Managing uncertainty and incomplete data

Class 3 : Predictive and Data-Driven Asset Management :
Tuesday 15 October 2026, 14:00-17:15 CET

From Reactive Maintenance to Smarter Intervention Strategies

 Key topics:

  • Transitioning from reactive to predictive asset management
  • Forecasting deterioration and intervention timing
  • Data-driven maintenance planning and optimisation
  • Decision-support tools and asset management systems
  • Risk-based intervention strategies and scenario planning
  • Introduction to digital twins and infrastructure modelling concepts
  • Integrating monitoring technologies, sensors and operational data
  • Using predictive analysis to support resilience and lifecycle planning
  • Understanding where digitalisation creates operational value 

Class 4 : From Pilot to Network Impact : Scaling and Proving ITS Value
Thursday, 17 September 2026

Delivering Governance, Funding and Long-Term Infrastructure Stewardship

Key topics:

  • Embedding asset management into organisational culture and governance
  • Aligning technical priorities with funding realities
  • Procurement and delivery models supporting long-term performance
  • Integrating maintenance, safety and resilience programmes
  • Performance-Based Contracts (PBCs) and outcome-oriented maintenance delivery
  • Building investment cases for maintenance and rehabilitation
  • Communicating infrastructure risks and funding needs to decision-makers
  • Scaling modern asset management approaches in LMICs
  • Common implementation pitfalls and institutional barriers
  • Future trends in infrastructure stewardship and intelligent asset management

Course Instructor

Hany Hassan, Ph.D., P.E., M.ASCE

Dr. Hany Hassan is Associate Professor in Transportation Engineering at Louisiana State University and a registered Professional Engineer with over 20 years of combined academic and industry experience. His work focuses on traffic operations, road safety, and intelligent transportation systems, with particular expertise in connected and automated vehicle technologies, V2X applications, and human factors in transport systems.

Dr. Hassan has led and contributed to numerous ITS deployments and applied research projects, including traffic management centres, connected vehicle systems, and real-time traffic operations. He is an active contributor to the Transportation Research Board's ITS and Human Factors committees and serves as Handling Editor of the Transportation Research Record.
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