Johns Hopkins Uses AI to Model Safer Drone Traffic Systems
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Johns Hopkins researchers used AI to model safer drone traffic systems to handle expected growth in drone flights.
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The model uses autonomous algorithms for collision avoidance and strategic deconfliction to enhance safety.
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Realistic "noisy sensor" and risk level algorithms make the system adaptable like real-world conditions.
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Simulations tested scenarios including rogue drones deviating from planned routes with promising safety results.
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This research builds on over 20 years of work by Johns Hopkins on enhancing US National Airspace System safety.
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