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Rio Tinto

Company-reportedExceptions onlyAutonomous + backstopCoordination compressed

Autonomous Haulage System for iron-ore operations

A central system can drive mine trucks on fixed routes while people supervise and manage exceptions remotely.

Engineering design · Pilbara, Western Australia

Collections: Human still decides · Queue eliminated · Embodied work

An editorial scene for Rio Tinto contrasts drives heavy haul truck along mine roads and intersections. with navigates trucks on predefined gps courses using fleet position, speed, and direction data. in the autonomous haulage system for iron-ore operations workflow.

Executive brief

The operating-model shift, in one view.

The role redesign is fleet supervision and exception recovery, not simply replacing a driver with software.

AI value · Truck operating time and cost

Company-reported

In 2018 each autonomous truck was estimated to operate 700 more hours on average with 15% lower costs.

Company estimate; mine mix and operating context affect transferability.

Before

Drives heavy haul truck along mine roads and intersections. → Coordinates vehicle assignments and traffic.

After

Navigates trucks on predefined GPS courses using fleet position, speed, and direction data. → Monitors fleet flow and intervenes for exceptions.

Human boundary

The system controls routine driving; central controllers authorize operations, manage traffic, and stop or recover vehicles.

Why it matters

A central system can drive mine trucks on fixed routes while people supervise and manage exceptions remotely.

This case is company-reported. Use it for the operating-model shift; do not treat the numbers as independently measured.

How the work changed

Before

How the work ran before the change.

  1. Step 1 of 2

    Truck operator

    Drives heavy haul truck along mine roads and intersections.

    ControlOperator judgment and mine traffic rules.

  2. Step 2 of 2

    Dispatcher

    Coordinates vehicle assignments and traffic.

    ControlSite operations control.

What changed

A central system can drive mine trucks on fixed routes while people supervise and manage exceptions remotely.

Decision rightAI handles the default; humans own exceptions

After

How the same work runs now.

  1. Step 1 of 2

    Autonomous haulage system

    Navigates trucks on predefined GPS courses using fleet position, speed, and direction data.

    ControlSupervisory system and central controller.

  2. Step 2 of 2

    Central controller

    Monitors fleet flow and intervenes for exceptions.

    ControlHuman operational authority and exclusion zones.

Process model built from the published workflow evidence for Rio Tinto. Every step, actor, and control appears in full below.
Every step, actor, and control

Exception path

Faults, obstacles, or route anomalies stop the vehicle and escalate to central control and field teams.

Work removed

  • Routine in-cab haul driving

Decision authority

The system controls routine driving; central controllers authorize operations, manage traffic, and stop or recover vehicles.

Before

  1. 01

    Truck operator

    Drives heavy haul truck along mine roads and intersections.

    Control: Operator judgment and mine traffic rules.

  2. 02

    Dispatcher

    Coordinates vehicle assignments and traffic.

    Control: Site operations control.

After

  1. 01

    Autonomous haulage system

    Navigates trucks on predefined GPS courses using fleet position, speed, and direction data.

    Control: Supervisory system and central controller.

  2. 02

    Central controller

    Monitors fleet flow and intervenes for exceptions.

    Control: Human operational authority and exclusion zones.

Work that left the path

  • Routine in-cab haul driving

Human role before

Operators drove each truck in a hazardous heavy-equipment environment.

Human role after

Controllers supervise fleets and field teams manage maintenance and exceptions away from routine driving exposure.

AI roleDecision mode: bounded autonomous navigation on mine roads.

Outcomes

Truck operating time and cost

Company-reported

Conventional human-driven haul trucks.In 2018 each autonomous truck was estimated to operate 700 more hours on average with 15% lower costs.

2018 operating estimate. · More than 130 autonomous trucks across Rio Tinto iron-ore operations at source observation.

Company estimate; mine mix and operating context affect transferability.

Driver road exposure removed by automation

Company-reported

Drivers worked around heavy machinery for routine haulage.Routine truck operators were removed from the autonomous driving task.

More than a decade of operation. · Pilbara iron-ore fleet.

Overall injury rates are not attributed solely to haulage automation.

What leaders can reuse

Anti-pattern

Inferring whole-site safety improvement from removal of one exposure pathway.

Questions

  1. 01What hazards move to controllers and maintainers?
  2. 02What is the safe degraded mode?
  3. 03Which productivity figures are independently audited?

Portability conditions

  • Controlled road network
  • Reliable positioning
  • Central supervision
  • Field recovery

Reputation risk

medium

Evidence and authority

What the public record supports.

Watch · updated

Watch status: verify the cited source and deployment condition before reusing this case.

1 primary; publication outcomes are reported.

Bundle 1.0.0 · reviewed 2026-08-23 · stable ID f56fc3324f45e38c

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Sources

Read the evidence, freshness, caveat, and version policy.