A singular focus on the road ahead

IoT and AI technologies transform roadway maintenance

White SUV driving on a winding road through green hills at sunset
Evolving operational demands call for modernization

Autostrade per l’Italia, one of Europe’s largest toll motorway operators, manages over 3,000 km of roadways and thousands of bridges, tunnels and viaducts across Italy. With millions of travelers relying on their infrastructure every day, the stakes for safety, efficiency and innovation are high.

To support their growing operational demands and accelerate their digital transformation, Autostrade recognized the need to evolve from their legacy on-premises infrastructure to a more scalable, cloud-native environment.

700,000

components monitored in real time, improving asset visibility and operational control

4,000

bridges, viaducts and flyovers digitally managed, enhancing safety and extending infrastructure lifespan

Cloud migration to enable intelligent asset management

The company had long relied on IBM® Maximo® to manage their critical assets. With the approaching end of support for Maximo Asset Management 7.6.x, Autostrade saw value in partnering with IBM Consulting® to upgrade to the newer IBM Maximo Application Suite (MAS) 9.0 and migrate their systems to a cloud-based deployment on AWS.

Autostrade’s transition from their on-premises infrastructure to a cloud-native environment included automation through Terraform scripts, health checks and seamless migration of all applications, reports, workflows, databases and APIs. The new infrastructure leverages Kubernetes-based containerization for autoscaling and high availability.

Supporting this transformation was MOVYON, a technology company within the Autostrade Group and a center of excellence for intelligent transport systems. MOVYON leads innovation initiatives across the organization, including the integration of advanced digital solutions for infrastructure management. 

This transformation builds on Autostrade’s earlier collaboration with IBM and MOVYON to launch the Argo platform, a digital asset management solution powered by IBM Maximo IBM Cloud Pak® for Integration, and IBM Cloud Pak for Data. The Argo platform was deployed in just 18 months, and these solutions enable real-time monitoring and inspections across thousands of bridges, tunnels and viaducts. Together, MAS9 and Argo provide a unified, intelligent infrastructure management system that scales with Autostrade’s evolving needs.

A scalable, AI-powered solution for road safety

With the migration complete, Autostrade now operates on a modern, scalable infrastructure that supports real-time monitoring and predictive maintenance of over 700,000 components across 4,000 bridges, viaducts and flyovers. The company has achieved many different improvements such as:

  • Reduced infrastructure and licensing through cloud migration
  • Improved scalability and automation with Kubernetes-based containerization
  • Enhanced asset visibility and inspection accuracy, powered by AI
  • Faster deployment of AI-driven insights for maintenance planning and decision-making, using AI-powered analytics

Autostrade continues to collaborate with IBM to expand the Argo platform and explore new mobility solutions. The transformation positions Autostrade as a smarter and more agile business and as a true global leader in intelligent infrastructure management.

Autostrade per l’Italia logo
About Autostrade per l’Italia

Autostrade per l’Italia operates one of the largest toll roadways in Europe.

MOVYON logo
About MOVYON

MOVYON, designs and implements innovative, smart and sustainable mobility solutions for Autostrade and other highways operators, including tolling, infrastructure, traffic and safety management, and smart road technologies.

Solution components IBM Maximo® Application Suite IBM® Consulting AWS consulting services from IBM IBM Cloud Pak for Integration IBM Cloud Pak® for Data Terraform
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Examples presented as illustrative only. Actual results will vary based on client configurations and conditions and, therefore, generally expected results cannot be provided.