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Johns Hopkins AI tool predicts crashes using traffic, weather, and behavior data to help reduce accidents.
Johns Hopkins engineers have developed an AI tool called SafeTraffic Copilot that predicts car crashes by analyzing traffic patterns, weather, road design, and driver behavior.
Using generative AI and data from over 66,000 accidents, the system helps policymakers evaluate how changes like adjusting traffic signal timing could reduce crash rates.
It aims to improve road safety in diverse environments, including areas with high motorcycle use, and is designed to support data-driven decisions in urban planning.
The research was published in Nature Communications in October 2025.
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La herramienta de IA de Johns Hopkins predice choques utilizando datos de tráfico, clima y comportamiento para ayudar a reducir los accidentes.