Johns Hopkins AI Revolutionizes Car Crash Prediction for Safer Roads

Breakthrough AI Predicts Traffic Accidents

Johns Hopkins University engineers have developed a cutting-edge artificial intelligence tool that predicts car crashes at intersections with remarkable accuracy. This innovative system analyzes various factors such as traffic light timing, weather conditions, traffic patterns, roadway design, and driver behavior to forecast accident risks.

Johns Hopkins AI predicts car crashes

Transforming Traffic Safety

By tweaking variables—like changing a traffic light’s duration from 20 to 30 seconds—the AI tool can estimate how accident rates will increase or decrease at specific intersections. This empowers city planners and engineers to make informed decisions that prioritize road safety. The technology holds promise for reducing traffic accidents and potentially saving countless lives.

Looking Ahead

As roadways become busier, integrating AI-driven insights into traffic management could revolutionize how cities address collision risks. Johns Hopkins’ research marks a significant step toward smarter, safer streets for everyone.

Sources: https://www.baltimoresun.com/2025/10/21/jhu-ai-traffic-safety/