Use Case - The digital twin for analyzing railway gauges

Client case

Analyser les gabarits ferroviaires (2)

Analyze railway gauges

Management of clearances and railway gauges; detection of obstacles in standard and enhanced profiles (depending on the lines), low-lying obstacles, those related to catenary contact wires, as well as measurements of track spacing


Client needs	Determine the geometric position (height and offset) of the contact wire(s) in the catenary relative to the track when at rest, and know the geometric position at the catenary support points
Types of data analyzed	3D LiDAR point clouds
Data acquisition method	Track Inspection Train (TIV)
	1	Track Extraction: Vectorization of the traveled track
	2	Cataloging the nominal clearance profiles for high and low obstacles along the track
	3	Track spacing measurements
Method of using the digital twin	4	Modeling of rolling stock passage
	5	Detection of obstacles related to catenary contact wires and the overhead contact line
	6	Localization and characterization of gauges obstacles in the GAIA heritage database
Benefits for the client	Better target intervention areas Reduce the duration of unavailability Optimize the human and financial resources to be mobilized Optimize processing costs by pooling resources for the extraction and inspection of contact wires

What is LiDAR ?

LiDAR, which stands for "Light Detection and Ranging" or "Laser Imaging Detection and Ranging," is a distance measurement technique based on the analysis of the properties of a light beam returned to its 'emitter.

A LiDAR system is an optoelectronic device consisting of a laser emitter, a receiver with a light collector (such as a telescope or other optics), and a photodetector that converts light into an electrical signal. It also includes an electronic signal processing chain that extracts the desired information.

LiDAR data collected forms a three-dimensional point cloud with up to 7,000 points per square meter, providing a highly detailed and precise level of information.

What is a Track Inspection Vehicle (TIV) ?

SNCF Réseau operates a fleet of trains known as Track Inspection Vehicles (TIVs), which are equipped with LiDAR measurement sensors and cameras.

They inspect conventional lines every eight weeks, providing comprehensive and continuously updated data.

Les données principalement exploitées pour effectuer les analyses gabarit sont les données LiDAR issues des ESV.

The primary data used for gauge analyses are the LiDAR data collected by the TIVs.

These point clouds, processed through a series of quality control phases, have a high density (several hundred points per square meter) and centimeter-level relative accuracy.

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