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Expanding Use Cases: Beyond Route Compatibility

Understanding why RINF is changing helps explain what is changing. The scope of how this data will be used is growing significantly.

The Original Purpose: Route Compatibility Checks

RINF was created to answer a fundamental question: can vehicle X travel route Y? The Route Compatibility Check (RCC) compares vehicle characteristics against infrastructure parameters along a proposed route—checking gauging, axle loads, electrification, signalling systems, and dozens of other parameters.

This use case drove the original RINF design: a register of infrastructure parameters that could be matched against vehicle authorisations.

The Regulatory Vision: A Broader Data Platform

The Commission Implementing Regulation (EU) 2019/777 (as amended by 2023/1694) explicitly defines RINF’s expanding scope. Article 1 states that RINF shall:

The regulation further notes that “further developments of the RINF application may create a data system feeding into all electronic information flows in respect of the Union rail network.”

What This Means in Practice

Route Book Compilation

The Route Book—operational documentation for train drivers—will increasingly be generated from RINF data. This requires infrastructure element positioning along routes and parameter applicability for specific journey segments.

Telematics Integration

RINF locations must align with those used in TAF/TAP telematics applications. The TSI OPE Application Guide already references RINF as a communication means for operational information, including temporary speed restrictions.

Statistical Analysis

ERA has established cooperation with Eurostat to make RINF data available for pan-European infrastructure statistics—supporting policy development, benchmarking, and investment planning.

What This Means for Data Quality

When RINF was primarily for RCC, incomplete data meant some compatibility checks couldn’t be performed. As the data feeds more applications—telematics, statistics, route books—the impact of data gaps and inconsistencies multiplies.

The 2026 requirements reflect this expanded ambition: richer data (topology, spatial), stricter quality standards (SHACL validation), and a flexible architecture (linked data) that can support use cases not yet defined.