Data Research and Innovation in Rail

A Digital revolution is coming in the railway and wider transportation. We foresee excellent opportunities in the digital railway for making more resilient systems based upon real data and simulation.

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Our current consulting and research includes:

  • Big Data analytics in Railway Safety
  • Neural Networks to predict track derailment forces
  • Fault detection of points using accelerometer data
  • Intelligent and autonomous Vision systems for Assett Management using forward facing CCTV
  • Platform Train Interface control using intelligent and autonomous Vision systems and platform visual projections.

Selection of Papers


The Potential for Using Big Data Analytics to Predict Safety Risks by Analysing Rail Accidents

Size: 154.333 KB
Type: PDF

Compliance Vs Risk Assessment - Paper for PSII Conf 28

Size: 144.914 KB
Type: PDF

Assessing railway vehicle derailment potential using Neural Networks

Size: 238.146 KB
Type: PDF

An Intelligent Track Monitoring System Using Neural Networks

Size: 395.666 KB
Type: PDF

We are currently working with clients:

  • Analysing geometrical tract data to predict derailment potential using open source deep learning algorithms
  • Assessing accelerometer information from points machines to build an algorithm that can predict when the points machine is beginning to deteriorate
  • Intelligent and autonomous vision systems for Asset Management using forward facing CCTV
  • Platform Train Interface control using intelligent and autonomous Vision systems and platform visual projections.
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