Truck haulage costs account for up to 50% of the total operating costs incurred by a surface mine. The haul road network is the infrastructure that carries every tonne of ore and waste between the pit, the ROM pad, the processing plant and the dump. When that infrastructure is well designed, well constructed and well maintained, it enables the fleet to operate at design speed, with predictable cycle times and controllable operating costs. When it is not, the costs compound across every truck, every shift and every department on site.
The problem is that most of these costs are not attributed to the haul road. They appear in separate budget lines — tyre replacements in the maintenance budget, fuel consumption in the fleet operating budget, water truck hours in the environmental budget, grader costs in the roads budget, and lost production in the planning reconciliation. No single person or department sees the total cost of a poorly maintained haul road. The result is that mine sites chronically under-invest in road maintenance while over-spending on the consequences.
This article quantifies what poor haul road maintenance actually costs a mining operation, examines the cost categories that are most commonly overlooked, and presents the economic case for an engineered approach to haul road dust suppression and surface management.
Five Cost Centres Driven by Haul Road Condition
Every deficiency in a haul road surface — corrugation, rutting, loose material, potholes, excessive dust, over-watering — generates costs across five interconnected categories. Understanding these categories, and how they compound, is the first step toward managing them.
1. Rolling Resistance and Fuel Consumption
Rolling resistance is the force a haul truck’s engine must overcome to maintain speed on a given surface. It is primarily determined by two factors: tyre penetration into the wearing course (a function of surface material and compaction) and pavement deflection under load (a function of structural design). On a well-maintained, hard, compacted surface, rolling resistance coefficients are typically 1.5–2% of gross vehicle mass (GVM). On a deteriorated surface with loose material, corrugation or rutting, that figure can exceed 4–5% of GVM.
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The fuel consumption consequences are significant. Research from the University of Queensland’s CRCMining programme identified road maintenance, tyre pressure and truck speed as the three most influential parameters on rolling resistance, with road maintenance scoring 80–90% influence in industry surveys. Published analysis confirms that improving haul road surface quality can reduce energy consumption by approximately 20% per unit of fuel consumed, depending on vehicle type. The CAT Performance Handbook documents fuel savings of 18.75 litres per hour per vehicle for a medium reduction in rolling resistance on a Cat 777D.
Applied to a fleet of 20 haul trucks operating 20 hours per day, even a modest 5% improvement in fuel efficiency from better road surfaces translates to over 150,000 litres of diesel saved per year. At current Australian diesel prices, that is a direct saving of several hundred thousand dollars annually — from road condition alone.
2. Tyre Wear and Replacement Costs
Off-the-road (OTR) tyres for ultra-class haul trucks are one of the most expensive consumables on a mine site. A single 40.00R57 radial tyre for a Cat 797 or Komatsu 930E-class truck costs $30,000–50,000. Each truck carries six tyres, representing a $180,000–300,000 investment per vehicle. Across a 20-truck fleet, the annual tyre replacement budget can exceed $5–10 million depending on conditions and replacement cycles.
Tyre life on mining haul trucks is typically 7–12 months, with road condition being one of the primary determinants of actual life achieved. Corrugated, rutted or potholed surfaces subject tyres to repeated impact loading that accelerates carcass fatigue, sidewall damage and tread separation. Loose material increases abrasive wear. Over-watered surfaces create hydroplaning risk and uneven wear patterns. Each of these conditions is a direct consequence of poor road maintenance.
Operations that invest in comprehensive haul road treatment programmes have documented a 25% increase in tyre life — from 5,500 hours to 6,900 hours at one documented operation. On a fleet running $50,000 tyres, a 25% life extension defers approximately $1.5–2.5 million in annual tyre replacement costs across a 20-truck fleet. Even a 10% improvement in tyre life saves approximately $50,000 per truck per year.
3. Water Truck Fleet and Dust Suppression Costs
The water truck fleet is the most visible cost of poor haul road management, but it is often treated as an unavoidable overhead rather than a variable cost that can be engineered down. Industry data indicates operating costs of $500,000–600,000 per water truck per year when fuel, tyres, maintenance and operator costs are included. A large open-pit operation running 6–12 water trucks for dust suppression commits $3–7.2 million annually to a process that provides temporary dust control lasting 20–60 minutes per application.
The cost is not limited to the water trucks themselves. Each water truck pass on a haul road creates interaction events with loaded haul trucks — a safety risk in conventional operations and a direct cause of fleet stoppages in autonomous haulage environments. Water truck activity also requires grader support to repair the road damage caused by over-watering, creating a secondary cost stream that is rarely attributed to the dust suppression programme.
Furthermore, water-only dust suppression actively degrades the road surface. Frequent heavy watering washes fines from the wearing course, destroys the binding matrix of compacted material, and accelerates corrugation and rutting — the very defects that increase rolling resistance and tyre wear. The water truck fleet is simultaneously a cost centre and a contributor to the costs it is deployed to mitigate.
4. Grading, Resheeting and Road Reconstruction
Grader costs are a direct function of road deterioration rate. On an untreated, water-only road, grading may be required daily or more frequently to address corrugation, rutting and potholing caused by traffic loading on a weakened surface. Grader operating costs typically run $100–140 per hour, with multiple graders required across an active road network.
A site running three Cat 16M graders at 12 hours per day, 365 days per year, at an average diesel consumption of 42.8 litres per hour, consumes approximately 562,000 litres of diesel annually for road maintenance alone. At typical operator, fuel and maintenance rates, the annual grader cost can exceed $1.35 million. Operations implementing comprehensive road treatment programmes have achieved a 75% reduction in grader fleet requirements — converting a $1.35 million annual cost into approximately $340,000.
Beyond grading, periodic resheeting (replacement of the wearing course) and full road reconstruction represent major capital outlays. The frequency of these interventions is directly related to the rate of surface deterioration, which is in turn driven by the effectiveness of the dust suppression and stabilisation programme.
5. Cycle Time Variability and Production Losses
The most consequential cost of poor haul road condition is often the least visible: lost production. Dust reduces visibility, forcing haul truck operators to slow down. Corrugation and rutting reduce achievable travel speed. Over-watered sections create traction concerns. Each of these conditions adds time to every loaded and empty pass — extending cycle times, reducing the number of loads per shift and lowering the effective throughput of the entire haulage system.
In autonomous haulage environments, the impact is amplified. AHS safety systems respond to dust, road defects and water truck proximity by imposing speed restrictions or triggering full stop events. Each stop event typically takes 3–5 minutes to resolve and cascades through following trucks in the queue. On a 20-truck fleet running 30 cycles per shift, even a modest frequency of road-condition-related events can consume hundreds of productive truck hours per month.
The production cost depends on the value of the material being hauled. On a high-grade iron ore or copper operation, a single percentage point of truck utilisation can represent millions of dollars in annual revenue. Design and construction costs for the majority of mine haul roads represent only a small fraction of the total life-of-road operating and maintenance costs — yet the operating cost savings from well-maintained roads are substantial.
Quantifying the Total Cost: An Illustrative Annual Scenario
The following table consolidates the cost categories for a representative large open-pit operation running a 20-truck haul fleet with a 20 km road network. All figures are based on published industry data and documented operational outcomes.
| Cost Category | Untreated (Water Only) | With Engineered Dust Control & Stabilisation |
| Water truck fleet (6 trucks @ ~$550K/yr) | ~$3.3M | ~$1.4M (57% fleet off-hire) |
| Grader fleet (3 graders) | ~$1.35M | ~$340K (75% reduction) |
| Haul truck fuel (20 trucks, rolling resistance penalty) | Baseline | ~$300–500K annual fuel savings (5% improvement) |
| Tyre replacement (20 trucks × 6 tyres) | Baseline (~$6–10M/yr) | ~$1.5–2.5M deferred (25% life extension) |
| Wet weather stand-down | Hours to days per event | Reduced by up to 12 hours per event |
| Production impact (cycle time, stoppages) | Variable; significant | Measurable improvement in cycle time consistency |
| Documented total value creation | — | $9M+ annual value creation documented at large operations (net of treatment costs) |
These figures represent the operational cost savings. They do not include the production revenue uplift from improved truck utilisation and cycle time consistency, which on a high-value commodity operation can be multiples of the direct cost savings.
Why the Cost Disconnect Persists
If the economics are this clear, why do so many operations persist with water-only approaches? The answer lies in how costs are structured and attributed within mining organisations.
Departmental silos. Tyre costs sit in maintenance. Fuel costs sit in fleet operations. Water truck hours sit in environment or roads. Grading sits in civil works. No single department bears the total cost of haul road condition, so no single department has the incentive to invest in a solution that benefits all of them. The decision to spend $200,000 on a road treatment programme looks like a cost increase to the roads budget, even if it delivers $3 million in savings across maintenance, fleet operations and production.
Perception of water as ‘free’. Many operations treat water as a zero-cost input because it is sourced on-site from dewatering or bore supply. But the true cost of water-based dust suppression is not the water — it is the diesel, labour, equipment and road damage required to deliver that water to the road surface, continuously, across every shift. When these costs are properly allocated, water-only dust suppression is one of the most expensive processes on the site.
Short-term budgeting cycles. Annual or quarterly budget cycles incentivise lowest upfront cost, not lowest total cost. A water-only approach has low upfront cost (the water trucks are already on site) but high ongoing operational cost. An engineered treatment programme has a higher upfront investment but dramatically lower ongoing cost. Only a total-cost-of-ownership analysis reveals the true comparison.
An Engineered Approach: GRT: Haul-Loc and Automated Dosing
GRT: Haul-Loc is a polymer-based dust suppressant designed specifically for mining haul roads. It is dosed into the existing water supply — typically at a ratio of 1 litre of Haul-Loc to every 10,000 litres of water — and applied using the same water trucks already on site. The polymer extends the effective duration of each water application from 20–60 minutes to at least two hours, with effectiveness increasing over successive applications as residual polymer builds in the road surface.
The practical consequence for mine operations is a step-change reduction in the frequency of water truck passes required per shift. Instead of 6–12 passes per road section, sites typically transition to 1–2 passes. This single change cascades through every cost category described in this article: fewer water truck operating hours (reducing diesel, maintenance and operator costs), fewer haul truck interactions (improving cycle time consistency and reducing safety risk), reduced road surface degradation (extending wearing course life and reducing grader frequency), and better dust control (protecting tyre compounds from abrasive particulate).
GRT’s published data indicates that Haul-Loc increases the effective total area treatable per truck by at least 250%, delivers annual cost savings of $1.2 million per Cat 777 water truck (based on reduced operating hours), and reduces the volume of water consumed for dust suppression by 50% or more.
Automated dosing for consistent results. One of the most common failure modes when operations trial dust suppressant products is inconsistent dosing. Manual mixing introduces variability: under-dosing produces no visible benefit and leads sites to abandon the product; over-dosing wastes concentrate and increases cost. GRT’s SMART Dosing Units eliminate this variability by automatically metering Haul-Loc concentrate into the water supply at the standpipe or hydrant fill point at calibrated dosage rates.
Solar-powered units are standard for remote standpipe locations where grid power is unavailable — which is the case at most mine sites. The latest SMART dosing units include telemetry that acts as a data hub, providing real-time reporting on dosing rates, product consumption, water flow and application events. This data feeds directly into the mine’s operational reporting systems, supporting both cost tracking and regulatory compliance documentation.
For sites with autonomous haulage systems, the SMART dosing system’s telemetry can be integrated with the mine’s remote operations centre, allowing dust management to be coordinated with fleet dispatch rather than operating as a reactive, independent activity.
Building the Business Case: A Practical Framework
For mining engineers and supervisors seeking to build an internal business case for haul road treatment, the following framework captures the total cost of the current approach and the projected savings from an engineered alternative.
Step 1: Baseline your current costs. Quantify water truck operating hours, diesel consumption and operator costs. Quantify grader hours, diesel and maintenance. Obtain tyre replacement data (cost per tyre, replacement frequency, failure modes attributed to road condition). Obtain haul truck fuel consumption data and benchmark against manufacturer specifications for the fleet’s road class.
Step 2: Identify the road condition gap. Assess rolling resistance across the road network (tow-test or GPS-speed-fuel analysis methods). Map road defect locations and frequencies. Quantify dust-related slowdowns, visibility events and (for AHS operations) stop events per shift.
Step 3: Run a controlled trial. Select a high-traffic haul road segment. Apply GRT: Haul-Loc at the recommended dosing rate via SMART Dosing Units. Measure water truck passes, PM10 levels, road surface condition, fuel consumption and cycle times against baseline over a defined period.
Step 4: Extrapolate to full network. Apply the per-kilometre savings measured in the trial to the total road network. Account for cumulative polymer build-up that further reduces re-application rates over time. Present the total-cost-of-ownership comparison to leadership, showing the net saving after treatment programme costs.
Operations that have followed this approach have documented $9 million or more in annual value creation — net of all treatment costs — at large open-pit sites, including over $6 million in water cart savings alone.
The Road Is the Foundation
Every tonne of material that leaves a mine travels over the haul road network. The condition of that network determines the fuel efficiency of every haul truck, the life of every tyre, the productivity of every shift, and the size of the ancillary fleet required to maintain it. When the road is neglected, the costs are real, substantial and compounding. When the road is engineered — with effective dust suppression, consistent surface management and automated dosing — those costs are measurably reduced.
The true cost of poor haul road maintenance is not a roads budget problem. It is an operational efficiency problem that touches every cost centre on the site. The solution is available, proven and deployable within weeks. The business case, for operations willing to measure the total cost rather than just the line items, is compelling.
Sources and References
Soofastaei, Adair, Aminossadati, Kizil & Knights (UQ/CRCMining): Rolling Resistance in Haul Truck Operations
Mining Doc: The Effect of Rolling Resistance on Haul Truck Fuel Consumption (2025)
Bodziony & Patyak (2024): Haul road surface quality reduces energy consumption by ~20%. Referenced in PMC/Nature Scientific Reports
MDPI Energies: Mining truck haulage environment — rolling resistance and fuel consumption (2024)
Thompson, R.J. & Visser, A.T.: Mine haul road maintenance management systems. SAIMM Journal, Vol. 103
Renolith: Mine Haul Roads — rolling resistance, pavement design and cost relationships
Dust-A-Side Australia: Treatment program reduces haul road costs — $9M+ annual value creation, 57% fleet off-hire
Dust-A-Side Australia: Fueling Change: enhancing mine roads for reduced emissions — Michelin 3–5% fuel reduction data
Soil and Dust: Costs and Benefits from Improved Roads — water truck and grader operating cost analysis
LoadMan: On-Board Scales Save Millions in Mining Tire Wear — $50K avg tyre cost, 7–9 month replacement cycle
Lizarazu, J.N.: Haul Truck Tires Recycling — $38–50K per tyre, 9–12 month replacement. University of Arkansas
GRT: GRT: Haul-Loc — $1.2M annual savings per Cat 777, 250% increase in treatable area
GRT: SMART Dosing Units — automated polymer dosing for mining haul roads
GRT: Controlling Dust with Water on Haul Road — water consumption analysis
