AI Traffic Cameras Proven to Reduce Crashes and Save Lives, Study Finds

AI-powered traffic cameras reduce accidents and injuries by improving violation detection and encouraging safer driving at key intersections. A study shows these benefits extend systemwide without shifting risks elsewhere.

Categorized in: AI News Science and Research
Published on: May 21, 2025
AI Traffic Cameras Proven to Reduce Crashes and Save Lives, Study Finds

AI Traffic Enforcement Cuts Crashes, Study Reports

A recent study highlights the impact of AI-powered traffic cameras in reducing accidents and injuries by improving violation detection and driver behavior at critical road intersections.

Key Findings

  • AI-driven traffic enforcement can prevent hundreds of accidents and injuries annually through enhanced monitoring.
  • These systems encourage safer driving behavior both at monitored intersections and in surrounding areas.
  • Unlike traditional enforcement, AI-based approaches reduce traffic risks broadly without simply moving accidents to other locations.

As urban centers face rising traffic fatalities, the study published in the INFORMS journal Management Science offers evidence that AI-powered cameras provide more than just violation detection—they contribute to significant improvements in overall road safety.

Researchers from the London School of Economics, Sun Yat-sen University, and the University of Wisconsin–Madison analyzed data from a major Chinese city. Their findings reveal that AI-enabled cameras could prevent roughly 1,190 accidents and 496 injuries or fatalities yearly, alongside nearly $1 million in property damage savings.

Importantly, the study shows these benefits are systemwide. The improvements do not result from shifting accidents to other intersections, which has been a concern with older enforcement technologies.

Why AI Enforcement Works

  • Smarter Detection: AI systems identify a wider range of unsafe driving behaviors beyond what traditional cameras capture.
  • Real-Time Video Recording: Continuous footage supports precise accident investigations and enforcement accuracy.
  • Behavioral Deterrence: Drivers adjust their habits not only where cameras are present but also in adjacent areas.

Traffic safety remains a complex challenge. This study provides data-driven proof that deploying AI technologies thoughtfully can achieve meaningful, systemwide safety gains without unintended negative effects.

With traffic fatalities persisting as a major concern in the U.S. and globally, these insights are timely for policymakers, researchers, and transportation planners focused on leveraging AI to improve public safety.

About INFORMS and Management Science

INFORMS is the world’s largest organization for professionals in operations research, AI, analytics, and data science. Its journal Management Science publishes quantitative research on management practices and organizational performance, serving as a key resource for advancing data-driven decision-making.


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