Introduction to Road Asset Management 

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  • Course code : AM-F2
  • Delivery: Online/Live/In-person
  • Language: English 
  • Starting Date:
    TBD
  • Registration Deadline:
    TBD
  • Total Duration:
    16 hours 
  • Price :
    IRF Members : 850 CHF
    Others : 1100 CHF


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This course equips participants with the fundamental principles behind modern road asset management. It covers RAM standards and systems, inventory procedures, condition surveys, and data models used to assess network performance and support maintenance planning.

Learning Outcomes

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

Understand RAM concepts, standards, and maturity frameworks 

Understand the role of RAMS platforms and decision tools

Conduct inventory and condition assessments

Develop risk-based maintenance and prioritisation strategies

Target Audience

Asset managers
Maintenance planners
Road authority engineers
Infrastructure management professionals

Course Structure

Class 1 : TBD

Assess whether ITS deployment is delivering value.
Key topics:
• Defining performance outcomes: reliability, safety, efficiency, emissions
• Why ITS deployments underperform: common failure modes in practice
• Aligning technology with operational decision-making
• From systems deployment to services
• Linking data, tools, and real-time operational actions
• Case study: what actually changed after an ITS deployment

Class 2 : TBD

Applying ITS tools and data to consistently deliver measurable improvements in traffic operations.
Key Topics
• Signal optimisation and traffic flow management
• Incident detection and coordinated response
• Speed management and enforcement support systems
• Managing high-risk and temporary environments (work zones, events, disruptions)
• Influencing user behaviour through information and control strategies
• Coordinating operations across agencies and systems
• Case study: reducing crash risk and improving reliability through targeted ITS interventions

Class 3 : TBD

How agencies identify, prioritise, and use the right data to support traffic decisions.
Key Topics:
• Identifying relevant data sources for ITS operations
• From data collection to operational use
• Data integration challenges in practice
• Building a usable operational data environment (including GIS-based platforms)
• Real-time and predictive data use
• Data governance considerations
• Case study: integrating multiple data sources to manage a road network

Class 4 : TBD

Using ITS to deliver broader network outcomes
Key topics:
• From project to operations: embedding ITS into daily practice
• Integrating ITS into multimodal network management
• The role of connected systems (V2X) in future deployment strategies
• Procurement and delivery models that support long-term performance
• Case study: scaling ITS from pilot to network-wide impact

Course Instructors : TBD

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