2025-07-10

Rio Tinto – RAILVU – Optimization of the Rail Network Iron Ore Throughput with AI

The Challenge

The Labrador Trough is a significant basin with rich deposits of high-grade iron ore. The mining operations in the region are serviced by two independent railways, including the Quebec North Shore and Labrador Railway (QNS&L), Rio Tinto IOC’s wholly-owned 418 km railway.

To unlock additional capacity and optimize the operations of the QNS&L railway, which serves four iron ore producers in the region, the ‘RailVu’ project aims to introduce AI-powered tools to refine daily train scheduling and enable real-time traffic management.

Investment

$1.7M

Scale AI investment

$4.4M

Total investment

Partners

Made possible through the
financial support of
Gouvernement du Québec
Gouvernement du Canada

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