DfT / DVLA
VEH0120 vehicle licensing data
- DfT / DVLA: VEH0120 vehicle licensing data
Checked in this release: 21 Sept 2026
Advanced driver assistance systems (ADAS) affect both collision avoidance and repair complexity.
The executive takeaway
Mechanism illustration · compare the same insured group and period.
Possible effect on frequencyFewer collisionsSome crashes may be prevented.
Possible effect on severityMore costly repairsEach repair may be more complex.
Number of collision claims × average cost per claim
Keep in mindA test rating does not establish the system fitted to every insured vehicle.
Established: Research measures particular systems and particular collision outcomes.
Evidence to change the assessment: Reassess with verified fitment and exposure-adjusted UK claims experience.
VEH0120 vehicle licensing data
Checked in this release: 21 Sept 2026
VEH0160 first registrations
Checked in this release: 21 Sept 2026
Approved evidence published 9 Oct 2026This topic, its downloads and linked Data Lab views use the same selected release.
Inspect the sources and their datesDriver assistance can help avoid a crash. Cameras and sensors can also make repairs more complicated. Insurance needs to understand both effects.
Established: Research measures particular systems and particular collision outcomes.
Developing: New safety systems enter the fleet gradually; equipment varies by model.
Still uncertain: A test rating does not establish the system fitted to every insured vehicle.
VEH0120 vehicle licensing data
Checked in this release: 21 Sept 2026
VEH0160 first registrations
Checked in this release: 21 Sept 2026
VEH0124 model and year of first use
Checked in this release: 21 Sept 2026
Some systems reduce collision frequency; sensor repairs can increase severity.
Current response: Test
Watch next: Reassess with verified fitment and exposure-adjusted UK claims experience.
A test rating does not establish the system fitted to every insured vehicle.
Checked in this release: 21 Sept 2026
Checked in this release: 21 Sept 2026
Checked in this release: 21 Sept 2026
Checked in this release: 21 Sept 2026
Checked in this release: 9 Oct 2026
Checked in this release: 21 Sept 2026
Checked in this release: 21 Sept 2026
Checked in this release: 21 Sept 2026
Checked in this release: 21 Sept 2026
PHASE 7 · EQUIPMENT & MILEAGE MAPPING
The reviewed dictionary covers three vehicle generations. In 2025, 110,347 of 123,212 passenger-car involvements have generic model labels, but none can be assigned verified generation-specific AEB fitment. Matched generation mileage remains unavailable.
The Lab publishes equipment scopes, unknowns and predefined collision-pattern counts. Age/year common support and later-year validation remain untested; no ADAS effectiveness or pricing lift is claimed. This research reads the same release as the tracker.
Explore the equipment dictionary and coverage audit →THE ACTUARY LENS · ADAS SYSTEMS
Track driver-assistance adoption, safety assessments and claims evidence, with separate measures for new registrations and the existing fleet.
THE ACTUARY LENS · ADAS SYSTEMS
Track driver-assistance adoption, safety assessments and claims evidence, with separate measures for new registrations and the existing fleet.
Autonomous emergency braking Detects an imminent collision and can brake automatically.
INSURANCE IMPLICATIONS
What would change this view? Reassess with verified fitment and exposure-adjusted UK claims experience.
01 · THE REPLACEMENT LAG
Systems become common in showrooms before they dominate insured exposure. The tracker will measure that lag rather than assuming immediate benefit.
Latest-quarter registrations identify the leading edge.
Vehicle retirement determines how quickly capability reaches exposure.
Frequency and severity emerge only after enough equipped exposure develops.
02 · CAPABILITY AND EQUIPMENT
Euro NCAP capability is weighted by new registrations only where a valid, reviewed model match exists. Rating coverage stays visible.
Retained as historical evidence under its own protocol. It is not extended into the 2026 series.
Not directly comparable →Separate registration-weighted indices activate only with valid scores and visible coverage.
03 · THE TECHNOLOGY STACK
Select a sensor area to connect the technology and claims-evidence views.
Detects an imminent collision and can brake automatically.
04 · CLAIMS EVIDENCE
External empirical evidence informs the question; it is not relabelled as measured UK insurance performance.
Multiple real-world studies support lower crash or claim frequency. Transfer to UK portfolio pricing still requires care.
IIHS: front collision warning and automatic braking study (2018) ↗US police-reported rear-end crashes, comparing equipped and unequipped versions of the same models. Supports frequency direction; it does not measure UK repair costs.
Evidence is directionally favourable for reversing collisions, with limited direct UK insurance measurement.
IIHS: rear automatic braking study (2019) ↗US reversing-crash evidence for a package of camera, parking sensors and automatic braking. Equipment packages and the study population limit transferability.
Published evidence supports fewer relevant lane-change crashes; benefit depends on fitment and system design.
IIHS: blind-spot detection research (2017) ↗The cited study concerns blind-spot detection warnings. It supports the relevant crash mechanism, not an identical effect for every active intervention system.
Capability and driver interaction vary materially between systems and generations.
IIHS: lane departure warning study (2018) ↗The cited study concerns lane departure warning and selected crash types. It does not establish one benefit for all lane-keeping or lane-centring systems.
05 · REGULATORY TIMELINE
The tracker shows relative timing from entry into force. It will not invent a calendar implementation date.
Related European safety requirements shape the market and Northern Ireland context.
Policy options and evidence considered.
July 2026 intention to proceed with a package of safety technologies.
Calendar date remains unconfirmed until legislation enters into force.
New GB vehicle types.
Most technologies on new complete-vehicle registrations.
Benefits move through the insured parc only as vehicles are replaced.
06 · INSURANCE IMPLICATIONS
Apply the eight tests to the evidence, including the risks that a headline collision reduction can miss.
How might ADAS change claim frequency?
Collision-avoidance systems should put downward pressure on the crash types they can detect and mitigate. The insured effect will lag new-car fitment.
How might repair complexity change severity?
Sensors, windscreens, calibration and electronic modules can raise the cost of otherwise repairable damage, while the mix of remaining collisions may also change.
Is vehicle-year still sufficient?
Vehicle-year remains observable, but model generation and verified capability may increasingly belong in the risk description.
Can systems create correlated failures?
Shared software, common suppliers and over-the-air updates create plausible correlated scenarios that historical vehicle-level experience may miss.
How quickly can prices respond?
Insurers must recognise capability without over-crediting uncertain fitment or losing competitiveness through classifications customers cannot understand.
Where could historic assumptions fail?
Historic frequency and severity relativities may become stale at different speeds across vehicle generations.
What will customers expect?
Drivers may expect recognised safety technology to influence price, claims handling and repair quality—even when public fitment data remains incomplete.
What are the implications of doing nothing?
Where material safety differences are known, ignoring them indefinitely in product design, pricing or communication deserves explicit governance.
SOURCES
Strength labels describe the reviewed evidence, not a guaranteed insurance saving. The linked studies identify the population and outcome actually measured.
UPDATES
Observation periods and publication dates appear with the supporting sources in Data & sources. A source check records an inspection; it does not make the evidence newer.
The assessment changes when the evidence justifies a different insurance conclusion. Its change date is recorded separately from source checks and the date this release was published.
Driver remains responsible.
The driving task transfers increasingly to the system.
Trace the assessment to its publications, datasets and observation periods.
Approved evidence published 9 Oct 2026This topic, its downloads and linked Data Lab views use the same selected release.
Inspect the sources and their datesRoad trends: Data Lab provides population context. These trends do not identify fitted ADAS or a causal effect on insured claims.
Evidence limit: A test rating does not establish the system fitted to every insured vehicle.
Dates belong to the selected release. A source check is an inspection, not new evidence. External source links open in a new tab.
Source 1 · DfT / DVLA
Used for: DfT / DVLA
Geography / market: UK and GB tables
Source 2 · DfT / DVLA
Used for: DfT / DVLA
Geography / market: UK and GB tables
Source 3 · DfT / DVLA
Used for: DfT / DVLA
Geography / market: United Kingdom
Source 4 · Euro NCAP
Geography / market: European-market tested models
Source 5 · Department for Transport
Geography / market: Great Britain
Source 6 · Department for Transport
Geography / market: Great Britain
Source 7 · NHTSA
Geography / market: United States
Source 8 · IIHS / HLDI
Geography / market: Primarily United States
Source 9 · UK Department for Transport
Geography / market: Great Britain