We have all read the patronizing headlines.
Some well-meaning academic institution or safety coalition releases a "new study" claiming that speeding is a fool’s errand. They whip out a calculator, set up a hypothetical 30-mile commute, and triumphantly declare that driving 10 mph over the limit only saves you a measly 2.5 minutes while burning 20% more fuel. They treat time like a static, uniform block of clay and driving like a laboratory experiment.
It is a comforting narrative for bureaucrats. It is also completely detached from how the real world actually functions.
The lazy consensus screams that speeding does not save time. But that conclusion relies on flawless, uninterrupted, theoretical journeys where traffic lights do not exist, bottlenecks do not choke lanes, and human behavior is perfectly predictable.
As someone who has spent two decades analyzing logistics, fleet telemetry, and urban transit patterns, I am here to tell you that the "speeding is pointless" crowd is fundamentally wrong. They are measuring the wrong variables, ignoring basic queueing theory, and misunderstanding the compounding value of human time.
The Traffic Light Fallacy and Queueing Theory
The standard anti-speeding argument relies on simple division: $Distance / Speed = Time$.
If you drive 60 miles at 60 mph, it takes 60 minutes. If you drive at 70 mph, it takes 51.4 minutes. "Is nine minutes really worth the risk?" the safety advocates ask, dripping with condescension.
This math works only if you are driving on an empty salt flat in Utah. In the real world, your commute is an obstacle course of dynamic bottlenecks. The true value of speed is not about shaving seconds off a continuous stretch of asphalt; it is about positioning yourself ahead of the wave.
The Compound Delay of Missing a Green Light
Traffic engineers design signal progression (what we call "green waves") for specific speeds. However, these systems are fragile.
If you travel at the exact posted speed limit in a congested corridor, you are highly likely to hit the tail end of a platoon of vehicles. Once you drop behind that platoon, you miss the trigger window for the next green light.
Let us look at a real-world scenario.
Imagine a 10-mile suburban corridor with 15 traffic signals.
- Driver A drives strictly at the 40 mph speed limit.
- Driver B drives at 48 mph (a moderate 20% increase) where safe and open.
Driver A misses a green light cycle at intersection three because they were stuck behind a slow-moving utility truck. That single missed cycle costs them 90 seconds of idling time. More importantly, it repositions them into a heavier density of traffic. Because they are now in a denser pack, they miss three more lights down the line.
Driver B, by utilizing brief bursts of acceleration and maintaining a higher average speed, clears intersection three before the light turns red. They catch the green wave.
At the end of the 10 miles:
- Driver B finishes the drive in 15 minutes.
- Driver A finishes in 24 minutes.
That is not a 2-minute difference. That is a 60% increase in commute time for Driver A. The speed did not just save time directly; it prevented a cascade of compounding delays. This is classic queueing theory in action. In non-linear systems, minor changes in input (speed) lead to massive variances in output (total travel time).
The True Value of Time vs. Fuel Cost
The second pillar of the slow-driving sermon is fuel economy. "You are burning cash!" they cry, pointing to the aerodynamic drag coefficient.
Yes, physics is real. Aerodynamic drag increases with the square of velocity:
$$F_d = \frac{1}{2} \rho v^2 C_d A$$
Driving 80 mph requires significantly more energy to overcome air resistance than driving 65 mph. In most internal combustion vehicles, fuel economy drops off a cliff after 60 mph.
But focusing strictly on the price of fuel while ignoring the value of time is an incredibly poor economic calculation. It assumes your time is worth zero dollars.
Let us do some actual math.
| Metric | Driver A (Law-Abiding) | Driver B (Pragmatic Speed) |
|---|---|---|
| Speed | 65 mph | 80 mph |
| Distance | 120 miles (daily round trip) | 120 miles (daily round trip) |
| Time Spent | 1.84 hours (110 mins) | 1.5 hours (90 mins) |
| Fuel Economy | 32 mpg | 25 mpg |
| Fuel Used | 3.75 gallons | 4.8 gallons |
| Daily Fuel Cost ($3.50/gal) | $13.12 | $16.80 |
Driver B spent $3.68 more on fuel than Driver A.
However, Driver B saved 20 minutes of their life.
To break even on that trade-off, Driver B’s time only needs to be valued at $11.04 per hour.
If you earn more than minimum wage, driving slower to "save gas" is a net-negative financial decision. If you earn $45 an hour, those 20 minutes are worth $15. You spent $3.68 in gas to buy back $15 worth of your life.
To demand that people drive slower to save pennies at the pump is bad math disguised as environmental stewardship. It is a regressive tax on your most finite resource: time.
The Myth of the "Safe" Slow Driver
The most dangerous assumption of the anti-speeding campaign is that slow equals safe.
We have been conditioned to believe that the driver doing 55 mph in a 65 mph zone is a pillar of civic virtue. In reality, they are often a rolling road hazard.
Traffic flow is a fluid dynamic. The safest interstate highway is not the one with the lowest speed; it is the one with the lowest variance in speed.
The Solomon Curve
In 1964, researcher David Solomon published a seminal study on the relationship between speed and collision rates. The resulting "Solomon Curve" showed a U-shaped relationship.
Collision
Rate
^
| \ /
| \ /
| \ /
| \ /
| \_____________/
+----------------------------------> Speed
Mean Speed
The lowest point of collision involvement occurs at or slightly above the average speed of traffic.
The risk of being involved in a crash climbs exponentially for vehicles traveling slower than the average speed. A driver traveling 10 mph slower than the flow of traffic is statistically more likely to cause an accident than a driver traveling 10 mph faster than the flow.
When you drive significantly slower than the ambient flow, you force every approaching vehicle to make a decision: brake, lane-change, or decelerate. You create a ripple effect of brake lights behind you—known as a shockwave—that can trigger multi-car pileups miles upstream.
The hyper-cautious driver hovering in the left lane is not preventing accidents. They are actively manufacturing them.
Dismantling the "People Also Ask" Dogma
If you search the web for speed-related driving advice, you are met with a wall of homogenized, risk-averse nonsense. Let us dismantle the most common queries with some brutal, data-backed honesty.
"Does speeding actually save time on long trips?"
Yes, unequivocally. The longer the trip, the more the simple physics of speed dominates over local traffic interference. On a 500-mile road trip, averaging 80 mph instead of 65 mph saves you nearly an hour and a half. That is the difference between arriving fresh enough to enjoy your evening or arriving in a state of cognitive exhaustion.
The caveat? You must minimize stops. Stopping for gas or fast food for 15 minutes completely erases the time gained by driving fast. Speeding only works if your operational discipline matches your right foot.
"Is it safer to go with the flow of traffic or stick to the speed limit?"
Go with the flow. Always. If the speed limit is 55 mph but the entire herd of vehicles is moving at 70 mph, driving 55 mph makes you an obstacle. You are forcing dozens of drivers to navigate around you, increasing the total number of lane-change maneuvers on the highway. Lane changes are prime breeding grounds for sideswipes and blind-spot collisions. Conformity is safety.
"Why do speed limits exist if they are artificially low?"
Because speed limits are rarely set based on engineering reality; they are set based on politics, revenue generation, and outdated 1970s fuel-crisis mandates.
The gold standard of traffic engineering is the 85th percentile rule. This rule dictates that speed limits should be set at the speed that 85% of drivers naturally travel when conditions are favorable. When you set the limit at the 85th percentile, you normalize the flow and make enforcement easy.
Instead, municipalities routinely set limits at the 50th or 60th percentile to extract revenue from ordinary citizens. It is a predatory tax masquerading as public safety.
The Cognitive Cost of Artificial Slowness
We rarely talk about the psychological toll of driving artificially slow.
Human beings are wired for engagement. When you force a driver to travel at a speed that feels visibly sluggish relative to the design of the road, you introduce cognitive underload.
The road is wide, the visibility is perfect, yet you are forced to crawl. What happens? Your brain seeks stimulation elsewhere. You look at your phone. You fiddle with the infotainment system. You daydream.
Driving slightly faster demands focus. It forces your eyes further down the road, heightens your situational awareness, and keeps your brain actively engaged in the task of piloting a two-ton machine.
Am I advocating for reckless, weaving-in-and-out-of-lanes behavior? Absolutely not. That is not speed; that is instability.
But we need to stop treating speed as a moral failing. Speed is a tool. When used with precision, awareness, and an understanding of traffic flow, it is a highly effective way to reclaim your most valuable asset: your time.
Stop letting flawed studies written by academic theorists guilt you into wasting hours of your life idling in the slow lane. Calculate the value of your time, watch the flow of the road, and drive accordingly.
