Machine learning technology to transform delivery of major rail projects in UK

By utilising machine learning, Network Rail can increase prediction accuracy, reduce delays, unlock early risk detection and enable significant cost savings.

Network Rail has announced that it is working with technology startup nPlan to use machine learning technology across its portfolio of projects, which has the potential to transform the way major rail projects are delivered across Britain.

Through using data from past projects to produce accurate cost and time forecasts, the partnership will deliver efficiencies in the way projects are planned and carried out, and improve service reliability for passengers by reducing the risk of overruns.

In a world-first for such work on this scale, Network Rail tested nPlan’s risk analysis and assurance solution on two of its largest rail projects – on the Great Western Main Line and the Salisbury to Exeter Signalling project – representing over £3 billion of capital expenditure.

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