FCW with AEB cuts front-to-rear crashes 49%

AI system

System: Forward collision warning and automatic emergency braking across multiple makers' passenger vehicles and pickups
Model: Not assessed
Release: Not assessed
Application developer: Multiple automakers
Role: Not assessed
Configuration: Not assessed
Inputs and outputs: Not assessed
Autonomy: Not assessed
Workflow: Large multi-state police-reported crash databases linked to vehicle equipment. Comparison of equipped and unequipped versions of the same models. Industry-regulator data sharing (PARTS) and an insurer-funded institute (IIHS).
Human oversight: Not assessed
Relation to AI: Camera and radar perception triggers warnings and braking. The studies compare crash rates of equipped and unequipped vehicles using police-reported crash data. The underlying reports are not among the sources.
AI contribution: Camera and radar perception triggers warnings and braking. The studies compare crash rates of equipped and unequipped vehicles using police-reported crash data. The underlying reports are not among the sources.

Studies: Not assessed
Study design: Not assessed
Measurement: Not assessed
Setting and sample: Not assessed
Measures: front-to-rear crashes reduced by 49%
Comparison: striking vehicles without forward collision warning and automatic emergency braking
Results: Reference: not stated. Result: front to rear crashes were reduced by 49 percent.
Additional value from AI: Not assessed
Limitations: Not assessed
Denominators: Not assessed
Materials for replication: Not assessed

Participants: Developer: Multiple automakers. Operator: Multiple automakers (factory-fitted systems).
Jurisdictions: Not assessed
Ownership and control: Not assessed
Dependencies: Not assessed
Cross-border connections: Not assessed
Geopolitical implications: Not assessed

Conditions for replication: Equipment status can be identified per vehicle. Crash reporting thresholds are comparable across states.
Replication attempts: 1 follow-up entries. Benefit recurred: 1.
Later findings: 6 January 2025. PARTS's second study, published 6 January 2025 on model years 2015-2023, again measured a 49% reduction in front-to-rear crashes for AEB-equipped vehicles, with effectiveness rising from 46% for 2015-2017 models to 52% for 2021-2023 models; NHTSA had meanwhile finalized a rule in April 2024 requiring AEB on all new light vehicles by September 2029.
Availability: Not assessed
Institutional decision: Not assessed
Grounds: Not assessed
Action and result: Not assessed
Success criterion: Not assessed

Assessed benefits: Society. Organizations. People.
Depth: Not assessed
Reasons: Society: Aggregate crash-rate findings. No individually attributable outcome. Organizations: No organizational outcome is documented. People: No individual outcome is documented.
Observed or intended: Not assessed
Rubric: Not assessed
Assessor and date: Not assessed
Alternative assessments: Not assessed
Fill: Independently reported

Kind: Not assessed
Related entries: Not assessed
Field: Road vehicle crash avoidance. Automotive.
Purpose: Forward collision warning and automatic emergency braking are built to detect an impending front-to-rear collision and warn or brake.
Dates: Date basis unassessed: 2022 (precision unassessed). Updated: 21 October 2026.
Stage: Not assessed
Version: SHA-256: 6b7fa969c918…

Report Developer

Partnership for Analytics Research in Traffic Safety (6 Jan 2025). A Study on Real-world Effectiveness of Model Year 2015–2023 Advanced Driver Assistance Systems. MITRE Corporation, Public Release Case Number 25-0114.
News report Independent author

VOA Learning English (16 Nov 2022). Study: Vehicle Warning and Braking Systems Cut Crashes by 50 Percent (from Associated Press reporting).
Registry label Independent author

OECD AI Incidents and Hazards Monitor, incident 2022-11-15-d32d: Automatic Emergency Braking AI Significantly Reduces Vehicle Crashes.