Client case

 

caracteriser la dangerosite des passages à niveaux

 

Characterizing the risks of level crossings

 

 

 

Level crossings where a road intersects with one or more railway tracks can vary in width.

A challenging crossing increases the risk of a vehicle becoming stranded in the middle of the level crossing, which can lead to serious accidents and significantly impact the rail traffic.

 

 

 

 

 

     

besoin des clients (1)

Customer needs 

Optimize vegetation maintenance operations

data (1)

Types of data analyzed 

3D LiDAR point clouds

acquisition (1)

Data acquisition method 

ESV measurement trainquestion mark

digital twin (1)

Method of using the digital twin

1

Creation of altimetric profiles in TIPULES format (specific to SNCF): by extracting the altitude of each point on the profile​

2

Longitudinal profile representation of the axis of each traffic lane crossing the railway tracks​

3

Creation of a topographic plan of the level crossing and its surroundings​​

benefit

Benefits for the client

  • Identify level crossings with potential risks​
  • Identify potential friction points between the low points of vehicles and the roadway​
  • Visualize the surroundings of the level crossing (roadway, property boundaries, buildings, etc.)​

 

 

question mark

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.

 

Lidar

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.
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.