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
Autonomous vehicles are already a reality on some of our streets and could become a major part of future transportation systems. Safety, of course, is the main concern, as with all vehicles. To help evaluate and improve its ...
Robotics
KAIST researchers solved a key challenge in the commercialization of physical AI by developing a new technology that enables AI to learn human judgment criteria on its own from just a few videos.
Jun 10, 2026
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Automotive
As cities continue to expand, railways are expected to become an important component of urban mobility systems. Compared with automobiles and air transport, railways are highly energy efficient and produce relatively low ...
Jun 10, 2026
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Security
The increasing adoption of electric vehicles is creating growing demand for charging infrastructure, driving a transformation in access to and use of energy through the controlled deployment of fast, efficient and secure ...
Jun 8, 2026
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Automotive
For the first time, new algorithms may be able to automatically explain why some self-driving cars crash—a question crucial to answer as more autonomous vehicles take to the roads. This new approach, developed by researchers ...
Jun 5, 2026
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Engineering
A fire alarm jolts you from your office desk, and you head for the nearest exit. But what if the closest exit has already been blocked by the fire? Researchers at the National Institute of Standards and Technology (NIST) ...
Jun 4, 2026
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Engineering
When it comes to snow groomers, excavators or crane vehicles, how can their operation be optimized even in difficult conditions and made safer for people in and around the vehicle? An international research team, including ...
May 28, 2026
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Automotive
Drones are becoming increasingly common in densely populated urban centers, supporting applications ranging from parcel delivery to surveillance. However, their growing presence has introduced significant challenges related ...
May 18, 2026
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Automotive
Near misses like the one at New York's John F. Kennedy International Airport inspired a group from the AirLab in Carnegie Mellon University's Robotics Institute (RI) to create World2Rules, an AI system that learns interpretable ...
May 18, 2026
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Automotive
Picture this: you're driving on a mountain road, when you suddenly hit a thick patch of fog. You respond instinctively. Your vision sharpens, and you narrow your eyes to make out the shape of any oncoming cars.
May 12, 2026
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