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Research and Development

Road Safety Enhancement

Road Barriers, eco-sustainable and performing

AISICO has addressed the issue of road safety efficiency through the study, definition and development of new measurement and energy containment systems in case of impact. It has developed criteria for the development of barriers to save motorcyclists, impact attenuators and railway noise barriers, using thermoplastic materials, including recycled ones, innovative thermoforming production processes and 3D printers.

Digital ecosystem for predictive maintenance of critical transport infrastructure

Digital Platform and Artificial Intelligence

The DIPM project responds to the need of the market for the maintenance of critical transport infrastructures (motorways, bridges, viaducts and tunnels) to implement a predictive maintenance tool based on Artificial Intelligence techniques, an integrated multi-sensor platform and a web platform.

R&D Projects

PDMI

Multimedia Integrated Dynamometric Platform

Platform for the measurement of forces transmitted by metal road safety barriers (guard-rails) for bridge edge during the qualification impact and experimental verification by means of impact simulator with finite element models.

    Experimental products

    Processing of thermoplastic composite materials for the infrastructural and road safety sector.

      BARRIER QUALIFIER

      Technological platform to validate the functionality of road safety barriers and verify its behavior in case of impact through the use of software, simulations and FEM models of barrier/ground interaction.

        DIPM - Digital Infrastructure Predictive Maintenance

        The DIPM ecosystem is centred on a Machine Learning (ML) model integrated in a digital platform that detects the functional and performance conditions of the main components of the critical transport infrastructure (road pavement, vertical signalling, road safety barriers and the structures of the works of art) and quantifies them through KPIs (Key Performance Indicators). The model is able to distinguish the efficient state from the anomalous one (anomaly detection) and to monitor the evolution of degradation in order to estimate the residual life of the RUL (Remaining Useful Life) component. DIPM was funded under the Ecosystem Vitality call by EU Next Generation.

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          Research and Development

          Sustainable management of transport infrastructures

          Artwork, Signage, Pavement

          Research and Development

          Environment and Territory Monitoring and Protection

          Toxic gases, pollutants and landslides

          Research and Development

          Monitoring and Quality Control of Manufacturing Processes

          Additive Manufacturing, Quality Control, Artificial Intelligence

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          Main and Registered Office

          Viale Bruno Buozzi, 47
          00197 – Roma
          T +39 06.32110436
          info@aisico.com

          Test House & Lab

          SP27 "Del Cavaliere" Km 2,500
          67064 Pereto (AQ)
          T +39 0863.1827288
          F +39 0863.1827289
          infocentroprove@aisico.com