VEH0124 model and year of first use
DfT / DVLA: VEH0124 model and year of first use ↗THE ACTUARY LENS · ADAS SYSTEMS
ADAS adoption and motor claims
Track driver-assistance adoption, safety assessments and claims evidence, with separate measures for new registrations and the existing fleet.
Read the explanation, evidence and limitations
Fewer collisions? More complex repairs?
Driver assistance can help avoid a crash. Cameras and sensors can also make repairs more complicated. Insurance needs to understand both effects.
What changed in the evidence?
Safety ratings and Assisted Driving
Euro NCAP: Safety ratings and Assisted Driving ↗STATS19 road-safety open data
Department for Transport: STATS19 road-safety open data ↗Insurance implication
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.
Infographic updated: Not separately recorded for this release. Data periods: Periods vary by source. Source checks and unrelated publications do not reset the infographic date.
Released sources
DfT / DVLA: VEH0124 model and year of first use ↗Euro NCAP: Safety ratings and Assisted Driving ↗Department for Transport: STATS19 road-safety open data ↗Department for Transport: Road traffic statistics · TRA25 and annual ↗NHTSA: Standing General Order crash reporting ↗IIHS / HLDI: Crash avoidance and insurance-loss research ↗UK Department for Transport: Vehicle safety and type-approval policy ↗Download the underlying released evidenceTopic status and controls
THE ACTUARY LENS · ADAS SYSTEMS
ADAS Systems detail
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
The actuarial conclusion
- Direction
- Some systems reduce collision frequency; sensor repairs can increase severity.
- Magnitude
- System-specific study effects are not a UK portfolio discount.
- Timing
- New fitment precedes material whole-fleet penetration.
- Evidence
- Strength varies by system, outcome, study design and UK transferability.
- Response
- Test before changing portfolio assumptions.
What would change this view? Reassess with verified fitment and exposure-adjusted UK claims experience.
ADAS ADOPTION AND CLAIMS
How adoption could affect frequency and severity.
This is a conceptual relationship, not a forecast.
01 · THE REPLACEMENT LAG
ADAS in new cars and the existing fleet.
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
Compare ADAS capability as well as fitment.
Euro NCAP capability is weighted by new registrations only where a valid, reviewed model match exists. Rating coverage stays visible.
Safety Assist
Retained as historical evidence under its own protocol. It is not extended into the 2026 series.
Not directly comparable →Safe Driving
Crash Avoidance
Separate registration-weighted indices activate only with valid scores and visible coverage.
03 · THE TECHNOLOGY STACK
Vehicle systems and their insurance implications.
Select a sensor area to connect the technology and claims-evidence views.
Autonomous emergency braking
Detects an imminent collision and can brake automatically.
- Fitment treatment
- Standard / optional / unavailable / unknown
- Publication rule
- Shown only after the coverage threshold is met
- Claims question
- Frequency benefit versus repair and calibration pressure
04 · CLAIMS EVIDENCE
What happens when ADAS meets an insurance claim?
External empirical evidence informs the question; it is not relabelled as measured UK insurance performance.
TECHNOLOGYFront AEB
FrequencyReduction supportedSeverityMixed; remaining claims may cost moreEvidenceStrong
Front AEB
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.
- UK direct evidence
- Limited
TECHNOLOGYRear AEB
FrequencyReduction supportedSeverityRepair-cost pressure possibleEvidenceModerate
Rear AEB
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.
- UK direct evidence
- Insufficient
TECHNOLOGYBlind-spot intervention
FrequencyReduction supportedSeverityMixedEvidenceModerate
Blind-spot intervention
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.
- UK direct evidence
- Limited
TECHNOLOGYLane intervention
FrequencyEvidence varies by crash typeSeverityMixedEvidenceEmerging
Lane intervention
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.
- UK direct evidence
- Insufficient
05 · THE ADAS INSURANCE EQUATION
Potential changes in claim frequency and repair cost.
The direction is evidence-led. The net UK loss-cost effect is deliberately not turned into a number that open data cannot support.
- AEB and vulnerable-road-user detection
- Rear AEB and parking assistance
- Blind-spot and lane intervention
- Radar, cameras and modules
- Sensor-equipped bumpers and glass
- Calibration and specialist labour
Not yet directly measurable from the open UK data used here.
06 · REGULATORY TIMELINE
Regulation and adoption timing.
The tracker shows relative timing from entry into force. It will not invent a calendar implementation date.
EU / NI context
Related European safety requirements shape the market and Northern Ireland context.
UK consultation
Policy options and evidence considered.
Government response
July 2026 intention to proceed with a package of safety technologies.
Legislation
Calendar date remains unconfirmed until legislation enters into force.
EiF + 12 months
New GB vehicle types.
EiF + 24 months
Most technologies on new complete-vehicle registrations.
Fleet penetration
Benefits move through the insured parc only as vehicles are replaced.
07 · INSURANCE IMPLICATIONS
What should a motor pricing actuary watch?
ADAS should put downward pressure on relevant collision frequency, but repair complexity and the changing mix of remaining claims create upward severity pressure. The net UK loss-cost effect is not yet directly measurable from the open data used here.
01Frequency
How might ADAS change claim frequency?
Frequency
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.
02Severity
How might repair complexity change severity?
Severity
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.
03Exposure basis
Is vehicle-year still sufficient?
Exposure basis
Is vehicle-year still sufficient?
Vehicle-year remains observable, but model generation and verified capability may increasingly belong in the risk description.
04Tail and accumulation risk
Can systems create correlated failures?
Tail and accumulation risk
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.
05Price response and selection
How quickly can prices respond?
Price response and selection
How quickly can prices respond?
Insurers must recognise capability without over-crediting uncertain fitment or losing competitiveness through classifications customers cannot understand.
06Capital vulnerability
Where could historic assumptions fail?
Capital vulnerability
Where could historic assumptions fail?
Historic frequency and severity relativities may become stale at different speeds across vehicle generations.
07Customer expectation
What will customers expect?
Customer expectation
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.
08Duty to act
What are the implications of doing nothing?
Duty to act
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
Follow the evidence
Strength labels describe the reviewed evidence, not a guaranteed insurance saving. The linked studies identify the population and outcome actually measured.
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.Rear AEB
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.Blind-spot intervention
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.Lane intervention
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.
UPDATES
Evidence and assessment changes
Evidence record
Latest dated evidence record: 2026-09-19. New evidence can update observations without changing the insurance conclusion.
Assessment change
This release does not record a separate dated change to the insurance conclusion. The revision trigger above describes what would justify reassessment.
ADAS Systems
Driver remains responsible.
Autonomous Mobility
The driving task transfers increasingly to the system.