Page 2: Research news on AI traffic safety

AI traffic safety concerns the use of artificial intelligence to prevent crashes and reduce injuries in road transport systems. Work in this area spans perception and decision-making for autonomous and cooperative driving, AI-enhanced traffic cameras and inspections, and predictive tools for urban planning and enforcement. Human factors are central, including driver stress and vigilance monitoring, cognitive load and takeover performance in semi-autonomous vehicles, moral decision-making in automated systems, and feedback-based interventions that shape safer driving behavior.

Robotics

Roboticist says safety should be top concern with humanoid robots

A quick search of humanoid robot videos will deliver demonstrations of two-legged robots playing soccer, dancing, jumping several feet in the air, even competing in kickboxing matches. It is all dazzling, certainly. But roboticist ...

Automotive

NASA modernizes commercial airline systems

NASA researchers know that when you settle into your seat on a commercial flight, you expect a smooth takeoff, views over the clouds, a steady descent and, hopefully, an early arrival.

Machine learning & AI

At UN, tech chiefs urge caution in AI development

Leaders of major AI firms told the U.N. Security Council on Wednesday that the technology calls for heightened vigilance, with Anthropic's CEO pledging to slow down where needed to ensure the safety of new releases.

Automotive

A new AI framework could help cities plan for future traffic

Traffic jams are usually treated as a problem to be measured after they form. Anton Rozhkov and his colleagues are exploring a different approach: giving planners state-of-the-art tools that can anticipate congestion, locate ...

Automotive

AI framework predicts ambulance speeds through city traffic

A new AI framework can predict how fast an ambulance will move through city traffic, giving fire departments a way to test emergency response strategies in a virtual environment before making changes on real streets.

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