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The Wrong Way to Set Speed Limits [ST06] thumbnail

The Wrong Way to Set Speed Limits [ST06]

Not Just Bikes·
5 min read

Based on Not Just Bikes's video on YouTube. If you like this content, support the original creators by watching, liking and subscribing to their content.

TL;DR

The 85th percentile rule discards the top 15% of observed speeds, which effectively ensures that about 15% of drivers will exceed the posted limit.

Briefing

Speed limits based on the “85th percentile rule” are a poor fit for city streets because they were built for rural roads—and the mismatch helps explain why dangerous, high-speed downtown driving persists. The rule typically has an intern collect driver speeds during good weather, discards the top 15%, then sets the posted limit to the highest remaining speed (rounded down). That design quietly guarantees that about 15% of drivers will exceed the limit, and it was never meant to govern the complex, human-filled environments of streets where pedestrians and cyclists are present.

The core problem isn’t just the math; it’s the way North American traffic engineering treats streets like rural through-roads. Rural roads are relatively simple: fewer crossings, fewer driveways, and fewer people outside vehicles. In that setting, keeping vehicles at a consistent speed can reduce passing and conflict. But streets are destinations—lined with homes and businesses, with frequent interactions and vulnerable road users. When the rural logic gets applied to streets, the result is often a “strode,” a road-street hybrid that’s inefficient, expensive, and dangerous. Cities then wonder why pedestrian fatalities stay high and downtown retail struggles, even as they keep designing for vehicle throughput rather than safe, comfortable street life.

Speed is also treated as a sign-and-enforcement issue instead of a physical safety issue. Higher speed increases the likelihood that crashes become fatal, makes it harder for drivers to react in time, and lengthens stopping distance—especially for cyclists and pedestrians. Meanwhile, modern vehicles feel safer to their occupants, which can increase driver confidence and worsen speeding. The most effective way to reduce fatalities is therefore straightforward: lower the speeds vehicles actually travel.

Yet many places try to lower speeds by changing only the posted number. A sign can nudge average behavior, but it’s not a durable solution because most driving is subconscious. People generally don’t constantly check their speedometers or read every sign; they drive at the “design speed” the road invites. If the posted limit doesn’t match that design speed, drivers will keep going fast until something in the environment forces them to slow down.

That’s why flashing signs often fail. They act as a last-minute reminder on streets that visually and geometrically signal speed—wide lanes, straight alignments, and minimal friction—so drivers ignore the message unless they happen to notice it. The transcript contrasts this with approaches used in countries like the Netherlands and Sweden, where street design communicates risk directly. Narrowing roads visually with trees and lane treatments, adding speed bumps, and creating tight, one-car-at-a-time passages make low speeds feel natural without relying on constant signage. In that model, the speed limit follows the context, and if drivers still go too fast, the street geometry changes until actual speeds match the intended safe range.

The takeaway is a shift in responsibility: stop setting street speeds by what drivers already do under a 1960s metric, and instead design streets so drivers feel discomfort at unsafe speeds—so the desired speed emerges from the road itself, not from a flashing sign.

Cornell Notes

Speed limits in North America often rely on the 85th percentile rule: measure driver speeds, discard the top 15%, then set the posted limit to the remaining high speed. That method was developed for rural roads where consistent vehicle speeds reduce conflict, but it gets applied to city streets where pedestrians and cyclists face real exposure. Because most drivers drive subconsciously at the “design speed” suggested by road geometry, simply changing the sign usually produces only small, temporary effects. The safer approach is to choose a context-appropriate speed and then redesign the street—narrowing lanes, adding trees or speed-calming geometry—until drivers naturally slow down. Lower speeds reduce fatality risk, reaction time pressure, and stopping distance problems, especially for vulnerable road users.

Why does the 85th percentile rule systematically produce speeding?

The rule sets a limit based on the highest speed remaining after discarding the top 15% of observed drivers. That means roughly 15% of drivers will still be above the posted limit by design. It also reflects a rural-road assumption that consistent speeds reduce overtaking and conflict, which doesn’t translate well to streets with frequent crossings and vulnerable road users.

What’s the key mismatch between rural-road planning and urban street safety?

Rural roads are simplified through connections between places, with fewer driveways, side streets, and pedestrian/cyclist activity. Streets are destinations with businesses, homes, and people outside vehicles. Applying rural speed-consistency logic to streets creates “strodes”—road-street hybrids—where high-speed vehicle design conflicts with the everyday street life that makes cities functional and safe.

Why do posted speed limits often fail to change driver behavior?

Driving is largely subconscious. Most drivers don’t constantly monitor their speedometer or read every sign; they tend to drive at the speed that feels comfortable given the road’s design. If the posted limit doesn’t match the road’s design speed—because the street is wide, straight, and visually inviting—drivers will keep going too fast. Flashing signs can interrupt attention, but they don’t fix the underlying geometry that encourages speed.

How does street design in the Netherlands change speeds without relying on constant signage?

Road design communicates risk through visual narrowing and physical friction. Examples include planting trees closer to the roadway, using dotted-line lane treatments, and adding speed bumps or narrowing so only one car can pass at a time. These cues trigger a subconscious low-speed response, making it “rarely necessary to look at the speed limit” because the street itself signals the appropriate speed.

What safety mechanism links speed to crash severity?

Higher speed increases the chance that a crash becomes fatal, makes it harder for drivers to react in time, and increases stopping distance needs. The transcript emphasizes that this is especially harmful for cyclists and pedestrians, who have less protection and less time to avoid collisions. It also notes that modern vehicles can increase driver confidence, potentially worsening speeding behavior.

Review Questions

  1. How does the 85th percentile rule guarantee that some drivers will exceed the posted limit, and why is that acceptable on rural roads but problematic on streets?
  2. Explain the difference between “design speed” and the posted speed limit. What road features tend to raise design speed?
  3. What kinds of street design changes can reduce speeds without relying on flashing signs, and why do they work on a subconscious level?

Key Points

  1. 1

    The 85th percentile rule discards the top 15% of observed speeds, which effectively ensures that about 15% of drivers will exceed the posted limit.

  2. 2

    That metric was developed for rural roads with simpler driving conditions, but it gets applied to city streets that are destinations with pedestrians and cyclists.

  3. 3

    High vehicle speed increases fatality risk by reducing reaction time and increasing stopping distance, with the greatest harm to vulnerable road users.

  4. 4

    Changing only the posted speed limit often fails because most driving is subconscious; drivers follow the speed their road design invites.

  5. 5

    Flashing signs can produce short-term reminders but don’t correct the geometry that keeps speeds high.

  6. 6

    A safer approach sets an appropriate speed for the street context and then redesigns the street—narrowing, adding trees, speed bumps, and other friction—to make low speeds feel natural.

  7. 7

    If drivers still exceed the intended speed, the street design should change until actual speeds match the safety goal.

Highlights

The 85th percentile method bakes in speeding: discarding the top 15% means roughly 15% of drivers will still be above the limit.
Speed limits often don’t work because drivers respond to “design speed” created by road width, straightness, and lane layout—not to the number on a sign.
Flashing signs are treated as a band-aid when the street geometry still signals fast driving.
Netherlands-style street calming uses visual narrowing and physical constraints so low speeds are intuitive without constant speedometer checking.
Lower speeds reduce fatality risk and improve safety outcomes for pedestrians and cyclists more than for drivers alone.

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