Recruit or retain drivers
When it may fit: Drivers are the binding constraint.
Evidence needed: Driver turnover, pay and openings.
Trade-off: Pay rises add cost.
Fleet Intelligence Brief
How to Compare Tractor, Trailer, and Driver Utilization
A fleet has three scarce resources that all have to line up to earn money: tractors, trailers and drivers. The binding constraint is usually not the one managers watch.
1. The business problem
Which is limiting our revenue: the trucks, the trailers or the drivers?
A carrier can own plenty of tractors and still turn away freight because it lacks drivers, or have drivers sitting without a trailer to pull. Tracking each resource separately shows which one is the real constraint.
Utilization means different things for each: miles and revenue per tractor, trailer-to-tractor ratio and turns for trailers, and hours and loaded miles for drivers.
2. What the evidence can reveal
Utilization is measured separately for each resource:
- Calculated Tractors: loaded miles and revenue per tractor per week, and share of time out of service.
- Calculated Trailers: trailers per tractor, and time spent waiting to be loaded or unloaded.
- Calculated Drivers: loaded miles and hours used against hours available, and driver turnover.
- Information gap Detention and dwell time, which wastes all three resources at once.
The binding constraint is the one that is fully used while others sit idle.
3. Investigate the problem
Calculated The synthetic carrier was analyzed by lane, not by asset, so it cannot show how each resource is used. At the fleet level, loaded miles grew 6.5% to 7,350 thousand, while driver pay grew 8.8% to $5.55M and maintenance grew 14.7%. Driver and equipment costs grew faster than miles.
Illustrative A short illustration, using invented numbers, shows the logic. Suppose a fleet has 100 tractors and 100 drivers, and carries 7.35 million loaded miles a year, or 73,500 per tractor. If drivers are the binding limit and ten tractors sit idle for lack of a driver, the loaded miles per active tractor are higher, and the investment in those ten tractors earns nothing. Adding a tractor would not help; adding a driver would.
Information gap Asset-level and driver-level data are needed to say which resource limits this carrier. The cost data hint at pressure on drivers: driver pay rose 8.8%, faster than miles, which is consistent with higher wages, more overtime or more paid time without loaded miles. Hypothesis This is a hypothesis to check with hours and pay data.
4. Explore the interactive experience
Investigate it yourself.
Fleet Economics Dashboard: a lane-level dashboard with empty-mile share, a scenario simulator for rate, fuel, miles and empty miles, evidence-linked answers from APIS, and a sample brief, all on synthetic data.
The experience below is built on a synthetic carrier, “Demo Freight Co.,” analyzed by lane. It has no vehicle-level or driver-level records, so lanes are used to show the method. Nothing in it is real.
- In the cost table, select Driver pay and compare its growth with loaded miles.
- Select Maintenance. Which grew faster, driver cost or maintenance?
- Ask APIS what additional information would help validate these conclusions.
5. Evaluate possible solutions
The right investment depends on which resource is binding.
6. What leadership should do next
Questions to answer
- Which resource is fully used while others sit idle?
- What is the loaded-mile yield per tractor and per driver?
- How much time is lost to dwell?
- Is turnover a driver of cost?
Data to gather
- Miles and revenue per tractor
- Trailer counts and turns
- Driver hours and loaded miles
- Dwell and detention records
Steps to take
- Measure each resource separately.
- Find the binding one.
- Fix its constraint first.
- Re-measure monthly.
7. Engage Two Pillars
Understand the Economics of Your Fleet
Two Pillars can help carriers, fleet operators, brokers and logistics businesses investigate lane, vehicle, customer, cost and expansion economics using your own data. A good first step is a utilization review that finds the binding resource across tractors, trailers and drivers.
Sources and data notes
- The organization, its figures, and every number in this article and its interactive experience are synthetic and illustrative. They are not real data, a benchmark, or a forecast.
- Reviewed October 2026. This article describes an approach to investigation. It does not replace review by qualified professionals.