Johns Hopkins Uses AI to Model Safer Drone Traffic Systems

Johns Hopkins researchers used AI to model safer drone traffic systems to handle expected growth in drone flights.

The model uses autonomous algorithms for collision avoidance and strategic deconfliction to enhance safety.

Realistic "noisy sensor" and risk level algorithms make the system adaptable like real-world conditions.

Simulations tested scenarios including rogue drones deviating from planned routes with promising safety results.

This research builds on over 20 years of work by Johns Hopkins on enhancing US National Airspace System safety.