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Automatic braking softens the impact for pedestrians in Japan

In Japanese police data for 2016 to 2019, AEB on six best-selling car models was linked to 20% lower odds of fatal or serious injury for struck pedestrians; cyclists showed no clear change.

4
Benefit status
Reported
Evidence
Independently studied
Source published
Sources
1 publication

Benefits

Benefit

20% lower odds of a fatal or serious injury (adjusted odds ratio 0.80, 95% CI 0.64 to 0.996)

Awaiting review

Outcome identifiers

Unresolved

Not reviewedUnresolved

Category

Reduced Risk

Awaiting review

Status

Reported benefit

Awaiting review

Beneficiary groups

Society.

Awaiting review

Beneficiaries

Unresolved

Not reviewedUnresolved

Reach

Unresolved

Not reviewedUnresolved

Distribution and access

Unresolved

Not reviewedUnresolved

Duration

Unresolved

Not reviewedUnresolved

Expected?

Yes

Awaiting review

Costs and harms

Unresolved

Not reviewedUnresolved

AI system

System

Automatic emergency braking (AEB) offered as an option on six best-selling passenger car models in Japan

Awaiting review

Model

This is an explicit unresolved assignment: the sources on record do not settle this question.

Not reviewedUnresolved

Release

Unresolved

Not reviewedUnresolved

Provider

Unresolved

Not reviewedUnresolved

Role

Unresolved

Not reviewedUnresolved

Configuration

Unresolved

Not reviewedUnresolved

Inputs and outputs

Unresolved

Not reviewedUnresolved

Autonomy

Unresolved

Not reviewedUnresolved

Workflow

Six popular car models in Japan offered AEB as an option, which allowed a comparison within the same models. The benefit showed up as milder injuries in crashes that still happened.

Awaiting review

Human oversight

Unresolved

Not reviewedUnresolved

Relation to AI

The study compares crashes involving the same six models with and without AEB, with adjustment for confounders; the comparison is observational.

Awaiting review

AI contribution

The study compares crashes involving the same six models with and without AEB, with adjustment for confounders; the comparison is observational.

Awaiting review

Measurement

Studies

Controlled observational. [1]

Fully reviewed: supporting details for Studies

Review date: 29 October 2026.

Sources: [1]

Study design

Controlled observational. [1]

Fully reviewed: supporting details for Study design

Review date: 29 October 2026.

Sources: [1]

Measurement

Multivariable logistic regression of injury severity (fatal or serious against minor or none). [1]

Fully reviewed: supporting details for Measurement

Review date: 29 October 2026.

Sources: [1]

Setting and sample

4,131 pedestrians and 6,659 cyclists in police-reported crashes with six best-selling car models, Japan, 2016 to 2019. [1]

Fully reviewed: supporting details for Setting and sample

Review date: 29 October 2026.

Sources: [1]

Measures

Odds of fatal or serious injury. [1]

Fully reviewed: supporting details for Measures

Review date: 29 October 2026.

Sources: [1]

Comparison

Same models without AEB. [1]

Fully reviewed: supporting details for Comparison

Review date: 29 October 2026.

Sources: [1]

Results

Pedestrians: adjusted odds ratio 0.80 (0.64 to 0.996); cyclists: 0.91 (0.74 to 1.14), a nonsignificant result. [1]

Fully reviewed: supporting details for Results

Review date: 29 October 2026.

Sources: [1]

Additional value from AI

20% lower odds of fatal or serious pedestrian injury. [1]

Fully reviewed: supporting details for Additional value from AI

Review date: 29 October 2026.

Sources: [1]

Limitations

Cross-sectional; counts only crashes that occurred; the upper confidence bound is near 1. [1]

Fully reviewed: supporting details for Limitations

Review date: 29 October 2026.

Sources: [1]

Denominators

AEB fitted to the striking car. [1]

Fully reviewed: supporting details for Denominators

Review date: 29 October 2026.

Sources: [1]

Materials for replication

National police crash data; code not public. [1]

Fully reviewed: supporting details for Materials for replication

Review date: 29 October 2026.

Sources: [1]

Money

Kind of value

The kind of monetary value is unclear.

Not reviewedUnresolved

Amount

The monetary value is not established.

Not reviewedUnresolved

Currency and prices

The currency and price basis are unclear.

Not reviewedUnresolved

Period and unit

The period and unit of the monetary estimate are unclear.

Not reviewedUnresolved

Realization

Whether the monetary value was realized is unclear.

Not reviewedUnresolved

Recipients and payers

The recipients and payers are unclear.

Not reviewedUnresolved

Gross or net

Whether the monetary figure includes costs is unclear.

Not reviewedUnresolved

Included costs

The costs included in the estimate are unclear.

Not reviewedUnresolved

Comparison

The financial comparison is not established.

Not reviewedUnresolved

Method

The method used to calculate monetary value is unclear.

Not reviewedUnresolved

Return and payback

The return on investment or payback period is not established.

Not reviewedUnresolved

People and places

Participants

Developer: Makers of the six car models (not named in the abstract). Operator: Makers of the six car models (factory-fitted optional equipment; makers not named in the abstract).

Awaiting review

Jurisdictions

Benefit: Japan. Developer: Unknown (makers not named). Operator: Unknown (makers not named).

Awaiting review

Ownership and control

Unresolved

Not reviewedUnresolved

Dependencies

Unresolved

Not reviewedUnresolved

Cross-border connections

Unresolved

Not reviewedUnresolved

Geopolitical implications

The geopolitical implications are unclear.

Not reviewedUnresolved

Follow-up

Conditions for replication

The system must detect the pedestrian early enough to reduce impact speed. Systems that do not detect cyclists are unlikely to help cyclists.

Awaiting review

Replication attempts

2 follow-up entries. Benefit recurred: 2.

Awaiting review

Later findings

Unresolved

Not reviewedUnresolved

Availability

Unresolved

Not reviewedUnresolved

Institutional decision

A relevant institutional decision has not been established.

Not reviewedUnresolved

Grounds

The grounds for an institutional decision are unclear.

Not reviewedUnresolved

Action and result

The result of an institutional decision is not established.

Not reviewedUnresolved

Success criterion

The criterion for a successful institutional decision is unclear.

Not reviewedUnresolved

Evidence

Source numbers

AIBD-0603-source-0001

Awaiting review

Citations

Numbered references below.

Awaiting review

Language

Unresolved

Not reviewedUnresolved

Source relationships

Independent

Awaiting review

Original evidence

Unresolved

Not reviewedUnresolved

Access and versions

Unresolved

Not reviewedUnresolved

Supported findings

Unresolved

Not reviewedUnresolved

Evidence strength

Independently studied. Sources: one independent peer-reviewed study. The cited evidence includes no finding by a regulator or court. [1]

Fully reviewed: supporting details for Evidence strength

Review date: 29 October 2026.

Sources: [1]

Missing evidence

Unresolved

Not reviewedUnresolved

Grades

Assessed benefits

Society.

Awaiting review

Depth

Society: 4.

Awaiting review

Reasons

Society: Across national police data, struck pedestrians had 20% lower odds of fatal or serious injury when the car had AEB.

Awaiting review

Observed or intended

Unresolved

Not reviewedUnresolved

Rubric

Unresolved

Not reviewedUnresolved

Assessor and date

Unresolved

Not reviewedUnresolved

Alternative assessments

Unresolved

Not reviewedUnresolved

Fill

Independently studied

Awaiting review

Entry details

Kind

The case describes an evaluation or a study. A cross-sectional study of police crash data. [1]

Fully reviewed: supporting details for Kind

Review date: 29 October 2026.

Sources: [1]

Field

Road safety.

Awaiting review

Purpose

AEB is built to brake automatically to avoid or soften a collision. The milder pedestrian injuries that the study measured were within that purpose.

Awaiting review

Dates

Source published: 10 May 2025. Updated: 29 October 2026.

Awaiting review

Stage

The system was in routine use. Factory-fitted options on cars in ordinary use. [1]

Fully reviewed: supporting details for Stage

Review date: 29 October 2026.

Sources: [1]

Version

SHA-256: 166d1f524364…

Awaiting review: supporting details for Version

SHA-256 of the public case, its assessments, and its displayed answers and notes, excluding its own identifier and the derived coverage summary.

References

Other identifiers

AI Incident Database: 341.

Awaiting review

Category mappings

Unresolved

Not reviewedUnresolved

Citable summary

Unresolved

Not reviewedUnresolved

Revisions

2 revisions. Latest: 29 October 2026.

Awaiting review

Sources

  1. Peer-reviewed study Independent author

    Inada H, Ichikawa M. Association between automatic emergency braking and pedestrian and cyclist injury severity in Japan. Accid Anal Prev. 2025;218:108091. doi:10.1016/j.aap.2025.108091

Cite this case

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Version 166d1f524364, archived in the edition of 29 October 2026

Benefit marks

Depth

The number and color show the depth of a benefit.

  1. Depth 1. A convenience, or time or money saved.
  2. Depth 2. A measurable improvement in a result or ability.
  3. Depth 3. A lasting change, an ability restored, or a risk removed.
  4. Depth 4. A serious harm averted or a serious condition resolved in time.
  5. Depth 5. A life or livelihood preserved, or a change documented across a population.

Beneficiary

  • Circle: a person
  • Square: an organization
  • Triangle: society

Evidence

  • Solid. A court or regulator found a benefit, or researchers independently studied it.

  • Hatched. Independent reporting.

  • Outline. Claimed by the parties. Only the people or organizations involved, or sources whose independence has not been assessed, support the benefit.

The fill changes with the evidence. The depth color stays the same.

How benefits are assessed