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New-build line 4280 in the Corridor Rhine-Alpine  (Copyright: DB InfraGO AG / Digitale Schiene Deutschland, Stefan Schröder)
2026/07/09

Complete track network data as the key to faster planning of signalling and control technology

A reliable data basis is crucial for the planning of signalling and control technology. A recent specialist article explains why incomplete or inconsistent track network data can impact projects, and which pragmatic approaches can help increase planning reliability and implementation speed.

The planning of signalling and control technology is highly dependent on the quality of the underlying track network data. Track network data comprises digital information that describes the railway network in technical and geometric terms. It shows how tracks, points and relevant reference points are positioned in relation to one another within the network and how they are connected. If this data is incomplete, outdated or inconsistent, uncertainties arise that have a direct impact on planning and project timelines, while also increasing implementation risks. This challenge is particularly evident in existing infrastructure that has not been renewed or surveyed for some time.

A recent specialist article describes the requirements that track network data must meet to enable robust planning of signalling and control technology. These include, among other things, up-to-date information on the target state of tracks and points, unambiguous chainage axes, a consistent topological node-edge model and precisely located fouling points. Although the introduction of standardised reference systems has brought progress, these coordinate or reference systems describe where track network data is spatially located. In practice, however, discontinuities between old and new data sets remain.

A pragmatic retracing approach based on existing survey data is presented as a possible solution. This means that the existing track alignment is digitally replicated using current measurement data and made available for further planning. This creates a better data basis without requiring the route to be fully replanned.

The article makes clear that an improved track network data basis can make a significant contribution to delivering signalling and control technology projects in a more plannable, efficient and lower-risk way. As part of the “Optimisation of Signalling and Control Technology Acceptance (OpAL)” project, the approaches described are being pursued further in order to transfer recommendations into existing processes and regulations. This creates an important basis for further accelerating and standardising the planning of signalling and control technology in future.

The full article is available here.