Miya Bholat
Jun 23, 2026
Compare cost per mile, utilization, preventive maintenance compliance, mean time between failures, energy cost per mile, and total cost of ownership within each vehicle type. This reveals cost, reliability, and productivity more accurately than one fleet wide average. A fleet performance management process exposes weak vehicles and maintenance patterns before they disappear inside the overall numbers.
A cargo van and a Class 8 tractor may travel the same mileage, but their loads, service needs, and costs are not comparable. ATRI reported an average truck operating cost of $2.26 per mile for 2024, roughly 38 percent above 2020. The United States Department of Energy estimates light duty battery electric vehicle scheduled maintenance at about 6.1 cents per mile.
One fleet wide dashboard can therefore mislead. Use fleet data metrics for better decisions to compare vehicles doing similar work.
Formula: Total operating costs divided by total miles driven.
Cost per mile combines fuel or electricity, maintenance, tires, insurance, registration, and depreciation. A vehicle with $45,000 in costs and 30,000 miles has a CPM of $1.50. The $2.26 trucking average should not become the target for a service van.
Track CPM by class, fuel type, age, and duty. A fleet reports dashboard can automate the calculation.
Formula: Actual usage divided by available capacity, multiplied by 100.
A practical starting range is 60 to 80 percent. Below 40 percent may signal excess capacity, while sustained use above 90 percent can reduce maintenance and backup time. Treat these as starting points. An idle vehicle still carries depreciation, insurance, and storage cost.
A delivery fleet may aim above 90 percent, while heavy trucks may show lower use because inspections, service, and regulated rest are part of the job. Review how to track and improve fleet utilization rate before calling reserve capacity waste.
Formula: Completed scheduled services divided by total scheduled services, multiplied by 100.
Strong programs often aim for 90 percent compliance, with disciplined teams pushing toward 95 percent. The interval still matters because stop and go vans can need service sooner than highway vehicles.
As unplanned work rises, towing, overtime, and service disruption can make each repair more expensive. Mileage, engine hour, and calendar triggers in preventive maintenance scheduling keep each type on the right pattern.
Formula: Total operating time divided by the number of failures.
MTBF measures operating time between failures. For example, 5,500 hours divided by 10 failures produces 550 hours. Use the historical pattern for the same vehicle type and duty as the benchmark. A rising MTBF suggests PM is working, while a falling result provides an early warning.
Electric vehicles have fewer mechanical powertrain parts, while diesel heavy trucks add engine, emissions, cooling, and driveline complexity. Vehicle service history records reveal repeated failures by system.
Formula: Total fuel or charging cost divided by total miles driven.
Combustion vehicles use MPG, while electric vehicles use kilowatt hours per 100 miles, MPGe, and charging cost per mile. Some light duty electric vehicles exceed 130 MPGe, which is not comparable to a loaded diesel tractor. Fuel can represent 30 to 40 percent of cost in fuel intensive fleets.
Separate vehicles by class and energy type, then compare route, load, idle time, and driver behavior. Fleet fuel management software connects transactions with mileage.
Formula: Purchase price plus operating costs plus maintenance costs, less resale value.
TCO measures the complete financial life of a vehicle. A cheaper purchase can cost more after repairs, downtime, fuel, and resale value. Compare replacement choices across five, ten, or fifteen years.
A five cent per mile advantage over 15 years at 15,000 miles per year equals $11,250 per vehicle. A Florida analysis also found substantial electric vehicle savings over 15 years, with results varying by use case. Heavy truck TCO can include driver cost, compliance, tolls, and commercial insurance.
The six metrics can be summarized in a reporting table:
Fleet Metric Comparison by Vehicle Type
| Fleet Metric | Calculation | Light Duty Vehicles | Medium Duty Vehicles | Heavy Duty Vehicles | Electric Vehicles |
|---|---|---|---|---|---|
| Cost Per Mile | Total operating costs divided by total miles | Usually lower due to smaller size and lower fuel use | Moderate costs affected by payload and route type | Highest costs due to fuel, tires, labor, and compliance | Often lower operating and maintenance cost per mile |
| Utilization Rate | Actual usage divided by available capacity, multiplied by 100 | Higher targets for service and delivery work | Balanced use with planned service time | Lower targets may be acceptable because of rest, inspections, and long routes | Depends on charging access and route range |
| PM Compliance Rate | Completed PM services divided by scheduled PM services, multiplied by 100 | Frequent service may be needed for stop and go driving | Mileage and engine hour intervals are common | Service intervals often reflect mileage, hours, load, and regulations | Fewer mechanical services, but tires, brakes, and battery checks still matter |
| Mean Time Between Failures | Total operating time divided by number of failures | Affected by age, route conditions, and driver use | Useful for identifying recurring component failures | Critical because every failure can create major downtime and service disruption | Often higher because the powertrain has fewer moving parts |
| Energy Cost Per Mile | Fuel or charging cost divided by total miles | Compare MPG and fuel cost within similar vehicle groups | Influenced by payload, idle time, and urban driving | Strongly affected by load, terrain, speed, and fuel prices | Compare kilowatt hours, MPGe, charging cost, and charging losses |
| Total Cost of Ownership | Purchase price plus operating and maintenance costs, less resale value | Useful for replacement timing and vehicle selection | Must account for equipment, payload capability, and useful life | Includes major fuel, labor, compliance, and downtime costs | Must include charging equipment, incentives, battery life, and resale value |
Vehicle class changes what good performance looks like. Replace these starting points with your own historical data.
Benchmark Priorities by Vehicle Class
| Vehicle Type | Metrics to Prioritize | Benchmark Direction | Main Risk to Watch |
|---|---|---|---|
| Light Duty Vans and Pickups | Utilization, cost per mile, PM compliance | Higher utilization, lower cost per mile, and shorter service intervals for demanding urban work | Stop and go wear can increase brake, tire, and transmission costs |
| Medium Duty Trucks | Cost per mile, utilization, fuel efficiency, PM compliance | Balanced utilization with mileage and engine hour based service targets | Payload differences can distort fuel and maintenance comparisons |
| Heavy Duty Trucks | Cost per mile, MTBF, fuel efficiency, downtime | Highest cost per mile with strong reliability and compliance targets | A single breakdown can create towing, cargo, labor, and service delay costs |
| Electric Vehicles | Energy cost per mile, MTBF, utilization, total cost of ownership | Lower mechanical maintenance with separate charging and energy benchmarks | Charging delays and infrastructure costs can reduce expected savings |
| Specialized Vehicles | Availability, PM compliance, downtime, total cost of ownership | Benchmarks should reflect mission readiness rather than mileage alone | Low mileage can hide high ownership and readiness costs |
Do not benchmark urban delivery fleets against long haul trucking. Within last mile delivery fleet operations, route density, payload, charging, and delivery windows still change results.
Fleet wide averages can make a weak vehicle look normal. In a 20 vehicle fleet, one truck can run 40 percent above its class CPM while the overall average still looks acceptable. Segmentation exposes it sooner.
Fleets may lose 5 to 10 percent of annual budget through avoidable inefficiency. Watch for these patterns:
Explain the difference rather than removing every outlier. Fleet data visualization dashboards help isolate assignment, driver, maintenance, age, or benchmark issues.
Begin with three measures that reveal many early cost, maintenance, and capacity problems:
Once reliable, add MTBF, energy cost per mile, and TCO.
Build a 12 month baseline for each class, fuel type, and duty. Compare Class 3 service vans with service vans, not Class 6 delivery trucks. Review trends monthly or quarterly.
Use this workflow to turn raw records into action:
Consistent categories improve fleet performance monitoring by separating improvement from changes in fleet mix.
Separate spreadsheets make segmentation difficult. AUTOsist can organize vehicle records, work orders, maintenance, and costs by vehicle type for faster comparison.
Start with clean categories and consistent cost codes, then automate reports and investigate exceptions. The goal is faster comparison, not more unused data.
The six measures explain different parts of performance:
Compare similar vehicles before acting. Class baselines help managers find outliers earlier, plan service better, and replace vehicles with greater confidence.