Road Asset Management Systems & Decision-Support Tools 

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  • Course code : AM-A3
  • Delivery: Online/Live/In-person
  • Language: English 
  • Starting Date:
    TBD
  • Registration Deadline:
    TBD
  • Total Duration:
    12 hours (4x3 hours classes)
  • Price :
    IRF Members : 850 CHF
    Others : 1100 CHF


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This course introduces participants to digital Road Asset Management Systems and decision-support tools used to plan, prioritise, and invest for impact. It explores data structures, forecasting models, optimisation routines, and how digital platforms support cost-effective investment planning and asset stewardship.

Learning Outcomes

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

Understand RAMS architecture and database models 

Improve data governance, quality control, and performance reporting

Apply decision-support tools and optimisation algorithms

Integrate RAMS platforms with GIS, sensors, and IoT data sources

Target Audience

• Road asset managers
RAMS users and administrators
Infrastructure data and GIS specialists
Agency staff responsible for maintenance planning and investment prioritisation

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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