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ML Terrain Coach

ML Terrain Coach

Optimize Every Haul with Live Road Condition Intelligence
See Every Bump, Slope, and Slowdown - Before It Costs You

Well-maintained haul roads are critical to efficient, safe, and cost-effective mining operations. Even minor road degradation can increase fuel consumption, reduce equipment lifespan, and elevate emissions.

ML Terrain Coach by Cascadia Scientific is a first-of-its-kind solution that uses real-time machine learning to continuously monitor haul road conditions, segment by segment. It detects inefficiencies, compares performance to optimal baselines, and identifies where road maintenance can deliver the greatest operational return.
Before
After
With ML Terrain Coach, every truck becomes a mobile road sensor, and every road condition is a measurable opportunity to improve.
"Roads make loads."

Key Features

Real-Time Road Condition Monitoring
Detect rough, slow, or fuel-intensive road segments as they happen.
Dynamic Performance Benchmarking
Compare every transit against a machine-learned baseline representing optimal performance for that segment.
ML Terrain Coach Dispatch Interface

A live, control-room style dashboard prioritizing segments requiring attention.

Performance Metrics by Segment
  • Speed
  • Travel Time
  • Fuel Consumption
  • Vibration
  • Altitude Change
  • Road Grade
Precision Targeted Maintenance
Focus grader and maintenance activity exactly where it’s needed, based on real-time road degradation trends.

How It Works

ML Terrain Coach transforms your fleet into an intelligent, distributed sensing system.

Data Collection
Cascadia’s custom mining sensors on haul trucks continuously collect data during every haul cycle.
Real-Time Evaluation

As trucks travel, performance is compared to these optimal baselines. Segments with higher-than-expected fuel use, vibration, or cycle time are flagged.

Model Training
Thousands of transits are used to establish optimal performance benchmarks for each road segment.
Actionable Insights
Supervisors and dispatchers receive instant visibility into underperforming road segments, allowing for proactive, targeted maintenance.
Segment Example:
  • Speed: -15.5% below optimal
  • Fuel Use: +7.8% more per km
  • Travel Time: +18% longer
  • Vibration: +22% increase

Dashboard Insights in Real-Time

Segment-Specific Intelligence
See fuel waste, time delays, and mechanical strain on specific sections of the haul network.
Road Profile Analysis
Get visibility into altitude, grade, and road quality that impacts operator performance and equipment health.
Dynamic Prioritization
View a ranked list of segments underperforming vs. baseline to guide grader and water truck deployment.

Sustainability & Productivity Gains

ML Terrain Coach supports miners’ urgent need to decarbonize now, without waiting for future fleet overhauls. By enabling low-cost, data-driven improvements to your existing infrastructure, it delivers powerful, quantifiable results:
Benefits
Improved Fuel Efficiency

Reduce unnecessary fuel burn on degraded roads.

Reduced Emissions
Cut CO₂ output through smoother haul cycles and optimized routes.
Increased Availability

Avoid unplanned downtime from road-induced component wear.

Extended Asset Life

Limit vibration and mechanical stress from poor terrain conditions.

Why ML Terrain Coach?

  • Built specifically for surface mining haul roads
  • Powered by advanced machine learning and real-time telemetry
  • Proven to reduce road-related operating costs
  • Integrated with SmartRView and other ML Coach tools
Book a Demo

From Rough Roads to Real Results

Smarter Haul Road Management Starts With Cascadia Scientific
ML Terrain Coach helps your roads work smarter, so your fleet doesn’t have to work harder. Empower your team with targeted insights, measurable ROI, and cleaner, safer, more productive operations.
Request a Demo
Download ML Terrain Coach Overview
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