Haul Cycle Timing: Telematics Update Rate & Productivity in Construction

The most expensive part of earthmoving is sitting still. Whether a truck is queued at the loader, waiting to dump, or crawling through a degraded haul road, every minute of non-productive time costs money. Yet most contractors measure construction productivity the way they did 20 years ago, missing what actually matters.

Three Approaches to Measuring Productivity in Construction

Analog methods remain common on smaller operations. Field engineers equipped with a clipboard, stopwatch and radio note truck IDs and dump counts. Data gets transcribed into a spreadsheet weeks later, if at all. Real-time decisions rely on visual observation and guesswork.

Digital Cycle Timers are now commonly used on projects in the form of an app. Same engineer doing the same thing, without the clipboard. Data is cleaner and there isn’t a need to transcribe.

How much human subjectivity and error is impacting the results? Imagine tracking eight trucks simultaneously: the order/line up can change mid-route; one of the observation points might get missed, one of the segments might get skipped.

Standard Telematics are used by mid-sized and larger contractors. Telematics platforms track truck location, engine hours, and sometimes payload weight. A project manager pulls reports showing cycle times and idle metrics. Visibility is immediate, but here’s the catch: most telematics software update in multi-minute intervals, which is fast enough to see overall truck movement but too slow to capture the individual segments that actually matter. If you can’t identify the segment causing the most waste, you might as well go back to the stopwatch and radio approach.

Construction Haul Cycle Segment Examples

The following details two scenarios: an optimized cycle versus an unoptimized cycle. Both examples are based on earthmoving, but the pattern applies to paving or any other repetitive production cycle.

  • In the cut area, there is a loader or excavator scooping dirt into the beds of the haul trucks while a support crew is spotting and directing.
  • In the fill area, there is dozer and compactor smoothing out the dump heaps to get to grade with a similar support crew.
  • Between the cut and fill, sits the haul route, where a grader should be smoothing the terrain to make it safer and more comfortable for the truck operators.
  • In the middle of the site, there is an obstacle (the No-Go Zone), which could be a terrain feature, fine grading operation, or some other scope of work happening on site that the haul route must circumnavigate.

Well-Optimized Haul Cycle

Haul Cycle Timing: Telematics Update Rate & Productivity in Construction - Productivity in construction

On a well-organized site, a haul cycle breaks down like this:

  • Haul distance: 1 miles
  • Queue at bench: 0.25 min
  • Load: 3 min (45 seconds per pass)
  • Haul: 3.15 min (roughly 19 MPH)
  • Queue at dump: 0.0 min
  • Dump: 0.75 min
  • Return: 2.1 min (roughly 28.5 MPH)
  • Total: 9.25 min (~6 loads/hour)

Poorly-Optimized Haul Cycle

But add congestion, poor staging and strain on haul road:

  • Same distance
  • Queue at bench: 0.5 min (loader busy with another haul truck)
  • Load: 4 min (truck misaligned, loose material 60 seconds per pass)
  • Haul: 4 min (same road distance, stop & go has caused ruts @ roughly 15 mph)
  • Queue at dump: 0.25 min
  • Dump: 0.75 min (material bridging)
  • Return: 3 min (same road distance, stop & go has caused ruts @ roughly 20 mph)
  • Total: 12.5 min (~4 loads/hour)

The haul distance is identical. The route layout hasn’t changed. The difference lives entirely in the queue, processing segments and haul route conditions.

Why Standard Telematics Falls Short

Traditional telematics shows you the truck left the bench at ~10:00 and arrived at the dump at ~10:08. That’s useful. But what actually happened in those eight minutes? Was the truck:

  • Idling at the bench waiting for the loader to finish with another truck
  • Beginning of the segment
  • Middle of the segment
  • Ending the segment
  • Actually traveling

At a 10-second update interval, you get 48 data points across that eight-minute window. You see the truck was somewhere between bench and dump, moving generally toward the fill. You miss the two extra minutes at the bench, the precise load duration, and whether the truck took a detour.

The Modern Approach to Measuring Productivity in Construction

High fidelity telematics generates a 1 hertz update rate (one data point per second), which can change everything. That means 60 data points per minute, which yields 750 points across the unoptimized 12.5-minute cycle.

Where High Fidelity Telematics Wins: From Data to Diagnosis

Providing rich high-fidelity data, you get the accuracy of telematics with the precision of the stopwatch method. This is where you actually see the haul cycle, spot the indicators, pinpoint the waste, and address the root cause.

Is it a poor operator in need of training? An unbalanced truck-to-loader scenario? Wear on the road degrading both haul and return segments? An unnecessary curve that can be straightened?

At one second update rates, you can catch what standard telematics miss: haul route health indicators. At 60-second or 10-second intervals, critical details vanish into diluted data obscuring the root cause.

Queue detection: A stationary truck with the engine on waiting to load or dump is unproductive time. With one second granularity you catch every second of it and reveal whether your queue problem is a scheduling issue or an equipment bottleneck.

Load/dump processing: You distinguish between actual material movement (load time, dump time) and waiting (queue time), which tells you whether the staging or the operator is the bottleneck.

Spotting and maneuvering: Acceleration patterns and speed variations show whether the truck is wrestling into position (e.g., poor spotting) or sliding smoothly into place (i.e., efficient staging).

Road condition impact: You can see exactly where trucks drop speed on haul and return routes. Potholes, ruts, and poor grading cost you twice. For example, a truck crawling through a degraded section at 15 mph instead of 19 mph loses time both loaded and empty. Multiplied across your fleet, that’s hours of lost productivity per shift. These speed variations become actionable intelligence for site maintenance priorities.

The ROI Equation

Most contractors assume long travel times are a distance problem. However, the data shows where time actually lives: sitting still, poor route layout and non-ideal road conditions.

In an unoptimized cycle, queue time and processing take 5.5 minutes of your 12.5 minutes. The haul and return takes 7 minutes. Drop from 12.5 minutes to 9.25 minutes, and you swing from 4 cycles per hour to 6 cycles per hour. That’s 50% more productivity!

Where do those 3.25 minutes come from?

  • Tighten your truck-to-loader/excavator ratio from 10:1 to 8:1 and congestion drops
  • 1.5 minutes out of queue and processing time by coordinating staging and spotting at the dump and bench
  • 1.75 minutes from smooth, straight roads instead of congested and degraded haul routes that crater both loaded and empty segments

On an eight-truck operation with optimized routes and coordinated staging, you achieve 415 cycles per day. Throw 10 trucks at unoptimized routes with poor staging, and you get 384 cycles per day. Sounds backwards, but congestion kills productivity in construction.

Two additional trucks burning fuel and clogging routes while sitting idle at benches and dumps costs more and moves less. The math is brutal: eight optimized trucks outproduce 10 unoptimized trucks by 8%. Redeploy two trucks and operators and eliminate the excess fuel and maintenance costs.

“The tools available for time studies of construction operations have historically been manual in nature and limited to the field of view of the observer. The short-interval GPS system presented is an automated onboard instrumentation system not limited by field of view. The system places a virtual observer in the cab of the equipment, thereby keeping the equipment within the virtual field of view.”

— Hildreth, J.C., Vorster, M.C. & Martinez, J.C. (2005). Reduction of Short-Interval GPS Data for Construction Operations Analysis, Journal of Construction Engineering and Management, ASCE, Vol. 131, No. 8, pp. 920–927.

None of this can be seen without high fidelity data. Standard telematics shows you the truck left the bench and hit the dump. It misses the 4.5 minutes sitting at the cut, the one minute at dump, and the speed cratering from potholes grinding in both directions. With high fidelity data every moment is visible, and that’s where diagnosis happens, and where the ROI lives.

Telematics without one second frequency is a map without a compass. You know where the truck went, not what it did. High frequency telematics gives you the granularity to find and eliminate the hidden killers in cycle time, where the productivity loss in construction actually sits.

Haul Cycle Timing: Telematics Update Rate & Productivity in Construction - Productivity in construction

From Invisible Waste to Actionable Insight

You can’t optimize what you can’t see. Pull a full day of data from your current telematics and attempt to break down a single haul cycle segment by segment. Can you see exactly when the truck stopped at the bench? Can you measure load time separately from queue time? If the answer is no, your update rate is the problem. 

High-fidelity telematics built for construction fixes this. One second granularity reveals where those lost minutes actually live, and how to win them back. 

Ready to see what your operation looks like at 1 hertz resolution? Click below to book a demo and discover the hidden time waste in your haul cycles.

High-frequency telematics reveals what standard systems can’t. Let’s walk through your haul cycle data together.

Picture of About William Hipp
About William Hipp

As Senior Product Marketing Manager at Tenna, Will translates complex construction technology capabilities into clear, practical solutions for field and office users. Will brings a decade of experience as a Certified Public Accountant across Big Four accounting, multinational manufacturing, and construction equipment management. His background in finance, analytics, and construction operations helps ground Tenna in practical industry knowledge, customer value, and disciplined business outcomes.

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