CFL uses CodiTrack to improve network data collection and analysis

We’re proud to announce the successful implementation of our CodiTrack solution for CFL – Société Nationale des Chemins de Fer Luxembourgeois, the national railway company of Luxembourg!

With CodiTrack, CFL can now collect and analyse mobile network performance data that covers all operational conditions, including different train types, carriage levels, and materials such as treated glass. Measurement data can be labelled and categorised directly within the platform, enabling clear differentiation between scenarios and consistent comparison of results.

By combining these insights with real-time analysis of signal quality, QoS, and throughput, CFL gains a comprehensive understanding of connectivity performance across its railway network.

“CodiTrack provides CFL with end-to-end visibility on mobile network coverage and quality along their railway network, helping CFL better understand their passengers’ user experience, identify concrete improvement areas and derive targeted actions.” — Michel Bonne, Digital Transformation Project Lead, CFL

This data-driven approach supports more reliable onboard connectivity for passengers, paves the way for modern and connected trackside maintenance activities, and aligns with CFL’s broader role in providing modern, connected and sustainable rail services within Luxembourg and across borders.

A special thanks to Michel Bonne and Christian Zimmer for the successful cooperation!