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.
Engineering
University of Missouri researchers are using advanced technology to enhance the safety of the nation's roads. This approach, focused on the most vulnerable road users—pedestrians and cyclists—could be used to help improve ...
Mar 24, 2025
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Energy & Green Tech
EU researchers are using AI to help ease the flow in Europe's cities, making urban environments both safer and greener.
Mar 24, 2025
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28
Software
Imagine your car is in conversation with other traffic and road signals as you travel. Those conversations help your car anticipate actions you can't see: the sudden slowing of a truck as it begins to turn ahead of you, or ...
Mar 20, 2025
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30
Hi Tech & Innovation
The Albert Park circuit for the Australian Formula 1 Grand Prix has 14 turns over 5.278 kilometers. F1 drivers can tell you the braking points, cornering speeds and preferred line for every one of those corners without actually ...
Mar 14, 2025
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Hi Tech & Innovation
The van makes its way slowly but surely through the city streets, braking gently when a car swerves into its lane. But its steering wheel is turning on its own, and there's no one in the driver's seat.
Mar 10, 2025
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