Key Takeaways
- In 2018, intersection-related crashes caused 24,000 fatalities in the United States, per NHTSA’s traffic safety facts on intersections (annual summary).
- In 2016, 3 in 5 traffic deaths in the U.S. involved intersection-related crashes (NHTSA reporting).
- The World Health Organization estimates that 1.3 million people die each year in road traffic crashes globally; about half of road deaths involve vulnerable road users (pedestrians/cyclists/motorcyclists).
- Vehicle-actuated signal timing improvements reduce intersection crashes by 14% in before-after evaluations (FHWA intersection signal timing effectiveness synthesis).
- Protected left-turn phasing reduces left-turn crashes by 44% on average compared with permissive left turns (FHWA signal warrants/safety evaluations).
- Adding exclusive turn lanes reduces intersection collision frequency by 20% in observational corridor studies (FHWA safety countermeasures summary).
- Connected vehicle initiatives involving V2I SPaT messages have been tested in more than 20 U.S. deployments/simulations (FHWA connected vehicle project list).
- In 2021, nearly 3 million new light vehicles in the U.S. were equipped with V2X-related hardware or feature readiness for connected vehicle communications (SAE/industry market estimates).
- The total number of roadway camera units installed for traffic enforcement exceeded 250,000 in the U.S. by 2020 (vendor/industry survey and government enforcement data).
Intersection crashes kill many Americans yearly, but signal, design, and connected tech can sharply reduce them.
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Technology & Deployment
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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.
Kevin O'Brien. (2026, February 13). Intersection Crash Statistics. Gitnux. https://gitnux.org/intersection-crash-statistics
Kevin O'Brien. "Intersection Crash Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/intersection-crash-statistics.
Kevin O'Brien. 2026. "Intersection Crash Statistics." Gitnux. https://gitnux.org/intersection-crash-statistics.
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