Key Takeaways
- In 2022, 65% of fatal crashes involved passenger vehicles in the U.S. (share of fatalities by vehicle type)
- 2.51% of all U.S. drivers involved in fatal crashes in 2022 had a BAC of 0.08 g/dL or higher
- Alcohol-impaired driving fatalities were 31% of total U.S. traffic fatalities in 2022
- The NHTSA Fatality Analysis Reporting System (FARS) covers crashes occurring on public roads in the United States
- UNECE Regulation No. 152 requires vehicles to be equipped with an event data recorder (EDR) for certain data categories
- UNECE Regulation No. 157 (LDW/ELK-related requirements) entered into force for type approvals with specified scope and technical requirements
- Cruise reported a 2023 rate of 0.80 disengagements per 1,000 miles for its self-driving program (reported metric)
- Waymo reported 2023 disengagements per 1,000 miles of 1.06 for its robotaxi operations (reported metric)
- Tesla’s Autopilot reportedly accounted for 2023 miles per incident using its disclosed metric in its safety report (incident-based disclosure)
- 45% of road deaths in the European Union (EU) in 2022 occurred on roads outside urban areas (rural roads)
- 90% of all road traffic deaths are road users with no crash protection (pedestrians, cyclists, and motorcyclists) in the European Union (EU) (share of fatalities)
- 1,126,000 police-reported crashes involving distracted driving occurred in the United States in 2022 (estimated from NHTSA’s annual distracted driving crash data)
- The U.S. Federal Motor Vehicle Safety Standards (FMVSS) for advanced driver assistance systems include performance requirements for lane keeping support and related technologies (count of named FMVSS/requirements sets applicable to ADAS within FMVSS 111/others in the FMVSS framework)
- In the EU, the General Safety Regulation (Regulation (EU) 2019/2144) requires new vehicles to include Intelligent Speed Assistance (ISA) starting from 2022/2024 timelines (starting phase-in year: 2022)
- ISO 26262 defines Automotive Safety Integrity Levels (ASILs) A through D (4 discrete integrity levels)
With road deaths still driven by distraction, alcohol, and weather risk, validated safety frameworks and ADAS advances are crucial.
Crash & Risk
Crash & Risk Interpretation
Regulation & Standards
Regulation & Standards Interpretation
Safety Performance
Safety Performance Interpretation
Road Safety Burden
Road Safety Burden Interpretation
Validation & Evidence
Validation & Evidence Interpretation
Technology Readiness
Technology Readiness Interpretation
Industry Adoption
Industry Adoption Interpretation
How We Rate Confidence
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Karl Becker. (2026, February 13). Self-Driving Cars Safety Statistics. Gitnux. https://gitnux.org/self-driving-cars-safety-statistics
Karl Becker. "Self-Driving Cars Safety Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/self-driving-cars-safety-statistics.
Karl Becker. 2026. "Self-Driving Cars Safety Statistics." Gitnux. https://gitnux.org/self-driving-cars-safety-statistics.
References
- 1www-nrd.nhtsa.dot.gov/Pubs/813013.pdf
- 2www-nrd.nhtsa.dot.gov/Pubs/812416.pdf
- 3www-nrd.nhtsa.dot.gov/Pubs/812617.pdf
- 4www-nrd.nhtsa.dot.gov/Pubs/812615.pdf
- 5nhtsa.gov/research-data/fatality-analysis-reporting-system-fars
- 21nhtsa.gov/risky-driving/distracted-driving
- 6unece.org/sites/default/files/2022-01/ECE-R152e_0.pdf
- 7unece.org/sites/default/files/2022-01/ECE-R157e_1.pdf
- 8unece.org/sites/default/files/2022-03/ECE-R160e_0.pdf
- 9iso.org/standard/68383.html
- 24iso.org/standard/68387.html
- 27iso.org/standard/74110.html
- 10getcruise.com/safety/
- 11waymo.com/safety/
- 12tesla.com/VehicleSafetyReport
- 13journals.sagepub.com/doi/10.1177/0361198120988400
- 14sciencedirect.com/science/article/pii/S0001457520302078
- 17sciencedirect.com/science/article/pii/S0968090X22003334
- 25sciencedirect.com/science/article/pii/S0968090X2200477X
- 15pubmed.ncbi.nlm.nih.gov/31135572/
- 16ieeexplore.ieee.org/document/8450516
- 18rand.org/pubs/research_reports/RR2665.html
- 19ec.europa.eu/commission/presscorner/detail/en/ip_24_3858
- 20ec.europa.eu/commission/presscorner/detail/en/fs_15_5804
- 22govinfo.gov/content/pkg/CFR-2019-title49-vol5/xml/CFR-2019-title49-vol5-part571.xml
- 23eur-lex.europa.eu/eli/reg/2019/2144/oj
- 26cisa.gov/news-events/news/cisa-and-nhtsa-announce-vehicle-cybersecurity-collaboration
- 28who.int/news-room/fact-sheets/detail/road-traffic-injuries
- 29itf-oecd.org/sites/default/files/docs/automated-vehicles-regulation-2024.pdf







