Road safety

What the network reveals

Aggregated, anonymous session data turns tyre condition from an unknown into a measurable national indicator.

Simulated real-world data being used for demonstration purposes

Vehicles checked

41,284

Tyres checked

165,136

Tyres corrected

26%

Probable slow punctures

1,021

Pre-journey checks

14,822

EV sessions

12,744

Motorcycle sessions

2,316

Materially low vehicles

9,834

Interpretation

Roughly one in four tyres in this simulated dataset needed a correction of more than 2 PSI, and one vehicle in four was materially low on at least one tyre. Repeat pressure loss at the same wheel across sessions is the strongest early indicator of a puncture or valve leak - the kind of signal only a connected, four-tyre check can produce.

Evidence base

The road-safety case, with sources

Tyre condition is one of the few crash factors that is cheap to fix, measurable at scale, and currently unmonitored between MOT tests.

Crash involvement rises with pressure error

Pre-crash analysis of national crash data found vehicles running 25% or more below the recommended pressure were markedly over-represented in tyre-related crashes.2012

GB casualties are still being recorded

Official casualty statistics continue to attribute killed-or-seriously-injured outcomes to illegal, defective or under-inflated tyres each year, alongside roughly two million MOT tyre failures.2025,2026

Wet performance degrades before anything warns

Wet grip is rated at a reference pressure and hydroplaning inception falls with the square root of pressure, so performance is lost silently.2016,1963

Regulators already quantified the benefit

The FMVSS 138 regulatory impact analysis put numbers on the casualty, tread-life and fuel benefits of maintained inflation before TPMS was mandated.2005

Prevalence makes it a population problem

Roadside observation and UK survey data both show significant under-inflation is the majority condition, not an outlier.2001,2024

The gap AiR fills

There is no routine, recorded, four-tyre check anywhere in a vehicle's year between annual tests. A forecourt session creates one.2009,2026

These are published third-party sources, not AiR simulation. The full bibliography - peer-reviewed papers, reference monographs, government reports, international standards and official statistics - lives in the science lab.

Open the research and full bibliography
/Tyre defect KSIs/MOT failures/Slow punctures/Pre-journey checks/Regional deviation/Motorcycle exposure/Tyre defect KSIs/MOT failures/Slow punctures/Pre-journey checks/Regional deviation/Motorcycle exposure

Why measurement matters

Tyre condition is the least instrumented variable in road safety

Casualty statistics record that a tyre was defective after a collision. Nothing records how the national fleet is doing today. A network of instrumented sessions turns that blind spot into a continuous, anonymous indicator.

GB tyre-related KSIs, 2025

0

Up 19 percent year on year. DfT, via TyreSafe.

MOT tyre failures each year

~0m

DVSA data, proposed as a national safety indicator.

UK cars 10 percent or more below spec

0%

The Motor Ombudsman, June 2024.

Drivers not confident inflating tyres

0%

Same study. The equipment, not the driver, is the failure point.

Every session produces the same four measurements at the same point in a journey: what the tyre was, what it should have been, what it became, and whether it held. Aggregated, that is a national condition index updated hourly rather than annually.

  • Deviation from approved specification, by region and vehicle class
  • Repeat under-inflation flags that indicate probable slow punctures
  • Seasonal swing separated from genuine leak behaviour
  • Motorcycle exposure tracked separately, where tyre-related KSIs hit a decade high

Questions

Straight answers

No. The published third-party statistics on the home page are real and sourced. Every AiR session, site and network figure across the platform is simulated for demonstration.
Registration data resolves to a vehicle class and region at the edge. Aggregates are only published above a minimum sample threshold.
Road safety bodies, manufacturers tracking real-world tyre behaviour, insurers modelling risk, and local authorities targeting intervention.