Customer need 

Ensure track stability and reduce costs associated with ballast usage​ 

Types of data analyzed 

3D LiDAR point clouds

Data acquisition method 

ESV measurement train

Method of using the digital twin

Rail extraction : vectorization of the traveled track

Processing of 3D point clouds using Artificial Intelligence algorithms 

Compliance study of ballast quantity by comparing the theoretical level with the actual measured level on the shoulder profile, the cribbing, and the track bed​

Benefits for the client

• Have a detailed understanding of ballast levels on the tracks : areas of deficiency and areas of surplus
• Better target maintenance operations
• Rationalize expenses through optimized management of ballast quantities used :  
  • Improved preparation of ballast tamping sites 
  • Prioritization of mechanical adjustment operations
  • Reduction of ballast operations (4 times more expensive than adjustment)

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.