How a railway’s data needs change throughout its life cycle


The UK rail network is an essential part of the national infrastructure, ensuring millions of passengers and freight move efficiently every day. Yet maintaining a safe, reliable, and modern railway system depends on vast amounts of accurate data.

From track alignment and platform compliance to electrification and vegetation management, railway operators require precise measurements to enable predictive maintenance and keep the permanent way running.

James McLaughlin, senior business development manager for rail survey, Fugro

Historically, acquiring this data has been a complex challenge. Manual surveys require track access, and that usually means surveying at night to avoid disrupting services – increasing the time required, as well as adding logistical challenges.

Even then, traditional methods struggle to provide the necessary level of accuracy required for dynamic railway management. As railway networks expand and evolve, the demand for high-quality, efficiently collected data has never been greater.

One of the biggest challenges in railway data collection is understanding the absolute position of the track. Every measurement – from clearance analysis to structural gauging – depends on knowing exactly where the track sits in relation to surrounding infrastructure.

Without this foundational data, operators face difficulties in assessing changes over time, integrating new developments, or ensuring compliance with safety and operational standards.

Physical track surveys, though once the standard, often fail to provide the flexibility required to meet these evolving needs. Slow, manual measurements leave little room for responsive action, limiting operators’ ability to make decisions based on up-to-date insights.

Rail infrastructure evolves through various phases, requiring adaptive data collection methods to support planning, construction, operation, and renewal. Accurate, high-precision insights are essential for informed decision-making throughout this lifecycle, ensuring railway networks remain efficient, safe, and future-ready.

For example, this data could help to prioritise and plan track renewal projects, or determine the heights and clearance of existing platforms, electrification or signalling assets or other station infrastructure to identify where improvements need to be made, and by how much.

By embedding high-quality data collection into each phase, railway operators can take a lifecycle-driven approach that strengthens safety, efficiency, and infrastructure resilience.

An example of a data image showing the fusion of different RILA® data streams. Credit: Fugro
An example of a data image showing the fusion of different RILA® data streams. Credit: Fugro

To meet the demands of modernisation and uphold critical operational standards, railway operators are adopting advanced technologies.



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