Service: GAIA-X: Predictive maintenance for the road infrastructure in South Tyrol

Responsible organisation: DataPort GmbH (Consortium)

GAIA-X acts as a data lake and scalable infrastructure for the storage and processing of heterogeneous data sources used by public administrations to make more well-founded decisions for road maintenance. GAIA-X aggregates heterogeneous data sources from different types of sensors and data sources that are useful for determining the quality of the road surface and potential maintenance issues. In addition, GAIA-X offers the ability to process this large amount of data in order to generate an evaluation with a response time that meets the public administration's budget planning requirements. Applying a predictive maintenance solution for road budgeting, leads to a better management of public funds, allowing the use of these funds for targeted maintenance work with maximum efficiency. In addition, other added values are improved road surface quality, increased infrastructural competitiveness of an region for investment, insights on travel and tourism patterns, reduced impact of road works on citizens in the form of downtime and congestion, savings in agency costs by the public administration and lower road user costs for citizens and infrastructure users. The cloud-based solution can potentially be used by other public administrations in Europe, since the problem described is common to all public administrations.

Additional information

Source Open Innovation Regione Lombardia
Web site https://www.bmwi.de/Redaktion/EN/Artikel/Digital-World/GAIA-X-Use-Cases/predictive-maintenance-for-the-road-infrastructure-in-south-tyrol.html
Start/end date 2019 - 2023.0
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