In a groundbreaking development, railway track analysis has entered a new era of efficiency with the advent of automated reverse engineering, this is reported by the railway transport news portal Railway Supply.

Railway Track Analysis

The collaborative efforts of SNCF Réseau, setec railway, and the innovative start-up, The Cross Product (TCP), have yielded a transformative solution that swiftly analyzes railway track geometry over extensive distances.

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Traditionally, determining the geometry of railway tracks involved a laborious and time-consuming process. Infrastructure managers engaged in a complex, iterative procedure, relying on their expertise to calculate the mathematical parameters defining the track’s curves.

This meticulous task, essential for operational, safety, and modernization purposes, demanded a profound understanding of horizontal axes, longitudinal profiles, statistical regression, and intuition derived from experience.

Enter automated reverse engineering, a technological marvel that leverages 3D LiDAR data.

This collaborative venture successfully executed a pilot project on the Cannes-Grasse line, spanning approximately 16 kilometers, accomplishing in just 30 minutes what would have taken several weeks through traditional methods.

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The precision and speed achieved through this automated analysis, generating horizontal axes and longitudinal profiles in formats compatible with LandXML, Civil3D, and RailComplete, mark a significant leap forward.

The key to this success lies in the synergy of business knowledge, artificial intelligence, and 3D LiDAR technology.

This amalgamation empowers railway infrastructure managers by streamlining their daily tasks and ensuring the safety, compliance, and modernization of railway networks.

The marriage of expertise with cutting-edge technology not only accelerates the analysis process but also opens the doors for extensive and precise network assessments.

In conclusion, the automated reverse engineering solution developed by The Cross Product (TCP) stands as a testament to the transformative potential of innovative collaborations in the railway industry.

By embracing advanced technologies, such as 3D LiDAR and artificial intelligence, the future of railway track analysis promises unprecedented efficiency, marking a significant stride toward safer, more compliant, and modernized railway infrastructures.

Picture/source: The Cross Product (TCP).

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