Case Study: Streamlining shunting yard operations through automation and deep learning
Posted: 7 March 2019 | Rail Vision Ltd | No comments yet


Shunting yard operations can be improved by deploying automated solutions. Here, Rail Vision provides details on its tailored shunting yard solution for SBB Cargo’s automation needs.
[pdf-embedder url=”https://www.globalrailwayreview.com/wp-content/uploads/GRR-Rail-Vision-Asset-Automated-Assisted-SY-CASE-STUDY-7.3.19.pdf” title=”GRR – Rail Vision – Asset – Automated Assisted SY CASE STUDY – 7.3.19″]
Related topics
Cargo, Freight & Heavy-Haul, Depots & Shunting Yards, Technology & Software