Predictive Analytics in the Transportation Sector

Get unprecedented insight in your rail infrastructure

Gain insight into the real-time operational condition of tracks and trains

Predictive Analytics are drastically changing the transport landscape. Patterns in large data sets can give away key information for efficiency gains:

  • reducing the number of failures,
  • the amount of unplanned maintenance
  • and the required level of reserve asset capacity.

> More about Condition Based Maintenance


How we lead the research in Predictive Analytics for rail

In the DyVerSIFy research project we investigated how to collect and present insightful data to enable predictive maintenance. The result? A new analytics platform that visualizes anomaly detection and root cause analysis in dynamic dashboards.

This project was a great collaboration with Renson, Cumul.io and research partners from IDlab, Universiteit Gent and imec. Project with funding from Agentschap Innoveren & Ondernemen.

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predictive analytics dynamic dashboards The new analytics platform visualizes anmolay detection and root cause analysis in dynamic dashboards.

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