Skip to main content

Milano Serravalle and Iris agree road monitoring contract

AI and machine learning technology can create automatic work orders for maintenance crews
By David Arminas June 21, 2024 Read time: 2 mins
System calculates the PCI score - pavement conditions index - in near real-time (© Jhansen2 | Dreamstime.com)

Italian concessionaire Milano Serravalle - Milano Tangenziale will use artificial intelligence and machine learning technology from Canadian start-up Iris Group to monitor road conditions.

Milano Serravalle - Milano Tangenziale - the concessionaire for the A7 motorway, from Milan to Serravalle Scrivia – signed the agreement with Iris during a ceremony at the Canadian consulate in Milan. Milano Serravalle will adopt IrisGO.

The deal was agreed after the Iris won a comparative technology competition done in conjunction with the University of Catania.

The IrisGo camera is installed on a field vehicle to measure the pavement on roads and sidewalks. The camera AI and computer vision scans the pavement and calculates the PCI score - pavement conditions index - in near real-time. Next, images and calculations are processed by AI to calculate PCI score and output to system. IrisCity, or an existing system such as CityWorks, then visualises the PCI results and automatically creates a work order for the repairs. The system notifies the road maintenance department to deploy a team into the field to do the repairs.

“It was a pleasure to work with Marco Colloredo [director of operations at Milano Serravalle - Milano Tangenziale] and his team and face their challenges,” said Emil Sylvester Ramos, chief executive of Iris. “We are sure of what Iris offers and the immediate impact it has on our customers, and this agreement proves it. It is really exciting to be part of the innovation process that is happening in Canada and bring it to Italy."

“Today we celebrate this milestone with Iris, but there is still a long way to go and we have many in the pipeline new projects, national and international, ready to be born," declared Pietro Boiardi, administrator delegate of Milan Serravalle - Milano Tangenziale.

Related Content

  • April 14, 2022
    Weighing up the future with AI
    There is broad agreement that artificial intelligence will be an important part of Weigh in Motion as we go forward – but Adam Hill finds that not everyone agrees quite how close we are to that point
  • January 25, 2012
    Machine vision - cameras for intelligent traffic management
    For some, machine vision is the coming technology. For others, it’s already here. Although it remains a relative newcomer to the ITS sector, its effects look set to be profound and far-reaching. Encapsulating in just a few short words the distinguishing features of complex technologies and their operating concepts can sometimes be difficult. Often, it is the most subtle of nuances which are both the most important and yet also the most easily lost. Happily, in the case of machine vision this isn’t the case:
  • January 24, 2024
    TRB 2024 challenge spurs smart transportation innovation
    The Center for Urban Informatics and Progress at UTC, Amazon Web Services, the National Science Foundation, the City of Chattanooga and ITS America sponsored the Transportation Forecasting Competition at TRB 2024: and the challenge threw up some fascinating projects
  • October 8, 2021
    Towards intelligent road infrastructure
    A digital transformation is happening in the world today and the result is that Europe’s transport infrastructure, and also the car industry are experiencing revolutionary changes. Jēkabs Krastiņš looks at the challenges and plots the road ahead.