Traffic Safety Planning Tool

Automated Speed Enforcement
Impact Calculator

Calculate the potential safety impact of automated speed enforcement using IIHS, Nilsson’s Power Model, and NHTSA research validated across 30M+ photo events processed annually.

Automated speed enforcement camera on roadway
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Serious-injury collisions can’t exceed total collisions.

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Estimated Annual Impact

On this roadway, an Elovate program could prevent 0 collisions, including 0 fatal, and spare your community millions in societal cost yearly.

Est. Total Societal Cost Saved
$0
Est. Collisions Prevented
0/year
Est. Fatal Collisions Prevented
0/year
Est. Compliance Improvement
0%

How safety improves on your roadway over time

1 · Behavior changes
Drivers speeding 10+ mph over the limit
-0%
by year 7
2 · Fatal & serious injuries fall
Crashes resulting in fatality or major injury
-0%
by year 7
3 · Total collisions follow
All reported crashes on the roadway
-0%
by year 7

Estimates only. Trajectories are based on multi-year IIHS research and supported by Cochrane and FHWA reviews across the U.S., Europe, and Australia.

How Is This Calculated?
Compliance Improvement & Speed Reduction

Based on IIHS research evaluating a long-running automated speed enforcement program, which found a 10% reduction in mean speeds at camera sites over 7.5 years. Where the observed average exceeds the posted limit, we frame this as “compliance improvement” — the share of the speeding gap closed by the program. Where the observed average is already at or below the posted limit, we frame it as “safety margin gained”.

Collisions Prevented

Calculated using Nilsson’s Power Model, the OECD/WHO-standard relationship between speed and crashes. Injury crashes scale with the 2nd power of relative speed change. Capped at 20%, matching observed program-level results from independent program evaluations and U.S. DOT reviews of fixed-camera systems.

Fatal Collisions Prevented

Same Nilsson framework with a higher exponent (3.5) reflecting that fatal and serious-injury crashes drop disproportionately faster than total crashes when speed falls. Capped at 39%, matching the IIHS finding for a full long-term enforcement program (cameras plus corridor approach).

Societal Cost Saved

Applies NHTSA’s official comprehensive crash cost values to the collisions and KSI prevented. NHTSA values each fatality at $11.3M and each serious injury at $2–6M (comprehensive cost, including economic impact plus quality-of-life loss). We use a blended $6.2M per KSI and a conservative $200K per non-KSI collision prevented. This is the same valuation framework FHWA uses for benefit-cost analysis of safety projects.

Sources
  • • Hu, W., & McCartt, A. T. (2016). Effects of automated speed enforcement on vehicle speeds, public opinion, and crashes. Insurance Institute for Highway Safety.
  • • Nilsson, G. (2004). Traffic safety dimensions and the Power Model to describe the effect of speed on safety. Lund Institute.
  • • Elvik, R. (2013). A re-parameterisation of the Power Model. Accident Analysis & Prevention.
  • • NHTSA (2023). Countermeasures That Work — Speed Safety Camera Enforcement.
  • • NHTSA (2023). The Economic and Societal Impact of Motor Vehicle Crashes, 2019 (DOT HS 813 403).
  • • FHWA & NHTSA (2023). Speed Safety Camera Program Planning and Operations Guide.

FAQs

How much does automated speed enforcement actually reduce speeding? +

Long-term peer-reviewed evaluations of mature ATE programs have documented a 10% reduction in mean speeds at camera sites over 7.5 years, with a 62% drop in the likelihood of vehicles exceeding the limit by 10+ mph.

Some work zone programs have seen even larger shifts: the share of vehicles speeding in enforced work zones has fallen from 30-40% to just 6-8% in independent evaluations. Real-world results vary by corridor type, baseline speeds, and program design, but a meaningful reduction is consistent across every long-running program studied.

Do speed cameras prevent crashes, or just shift them elsewhere? +

Crash reductions at camera sites are real and don’t come from displacement. Peer-reviewed IIHS evaluations have documented a 39% reduction in crashes resulting in fatal or serious injury at camera sites, and a Cochrane systematic review of 35 international speed camera studies found consistent crash and injury reductions at camera sites with no evidence of meaningful spillover crash increases on adjacent corridors.

This is because cameras change driver behavior across the broader corridor, not just at the camera point. Drivers slow down on the approach and stay slower for some distance beyond, an effect documented in multiple speed-distance studies.

How long until a community sees measurable results? +

Driver behavior changes show up within the first 3 to 6 months of deployment as awareness builds through citations and public education. Mean speed reductions typically stabilize within the first year.

The most rigorous program evaluations measure outcomes over multi-year horizons. The longest peer-reviewed IIHS evaluation tracked results across 7.5 years; several long-running state DOT programs have documented sustained reductions over 10+ years; more recent work zone enforcement programs have shown crash reductions of 40-46% over 4 years. Longer programs produce more durable changes in driving culture.

Does enforcement only work while cameras are physically present? +

No. The “halo effect” is well-documented in the academic literature: driver behavior changes persist on corridors with established enforcement and gradually spread to nearby roads as drivers internalize the limit. The effect is strongest when programs are predictable, consistently signed, and accompanied by public education.

Mobile camera programs (commonly used for work zone enforcement) leverage this effect by rotating among work zones; drivers can’t predict exactly where the camera is, so the compliance behavior generalizes across the whole corridor.

How do these estimates compare to real-world program outcomes? +

This calculator uses conservative caps on its outputs: 20% maximum collision reduction and 39% maximum fatal/serious-injury reduction. These ceilings match the documented results from independent IIHS, NHTSA, and FHWA evaluations of mature programs across the U.S.

Real outcomes can fall below the estimate if a program is under-resourced or limited in scope, or above the estimate if it’s paired with strong public education, corridor-wide signage, and other Safe System interventions. The numbers shown represent a credible mid-range expectation, not a guarantee.

What’s the typical compliance improvement on a corridor with cameras? +

Compliance improvements depend heavily on baseline speeding. On a corridor with significant speeding, expect the share of drivers exceeding the limit by 10+ mph to drop by 50-65% within the first year of enforcement (matching findings from the longest peer-reviewed IIHS evaluation, where the drop was 62%).

On corridors with milder speeding, the relative improvement may be smaller, but mean speed reductions are still meaningful, and the long tail of “worst speeders” (the drivers most likely to cause severe crashes) sees disproportionate compliance gains.