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.
Hi Tech & Innovation
It is possible for one person to safely monitor up to five self-driving vehicles at once, according to new research led by Coventry University.
Sep 1, 2025
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Automotive
As self-driving cars move closer to everyday reality, one big question remains: Will people actually trust them?
Aug 28, 2025
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Engineering
There is a general assumption that cities are often built on compromise. The more roads paved, the less space there is for walkways, parks, and people. What if this trade-off could be turned on its head?
Aug 28, 2025
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Consumer & Gadgets
Cars are getting smarter. Today's vehicles can automatically brake to avoid a rear-end collision, keep themselves centered in a lane, warn of hazards in blind spots and even maintain a safe distance from the car ahead.
Aug 27, 2025
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Telecom
NEC Corporation has developed an optical fiber sensing technology to monitor road conditions and accurately predict sudden traffic congestion in real time. By collecting data from existing optical fiber communications cables ...
Aug 25, 2025
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Automotive
A future with advanced air mobility aircraft populating the skies will require the U.S. to implement enhanced preflight planning that can mitigate potential risks well before takeoff—and NASA is working to develop the tools ...
Aug 25, 2025
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Energy & Green Tech
Batteries in electric vehicles wear out too quickly and this is slowing down the electrification of the transport sector. Researchers at Uppsala University have now developed an AI model that can provide a much more accurate ...
Aug 22, 2025
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Automotive
An AI system capable of pinpointing a device's location in dense urban areas without relying on GPS has been developed by researchers at the University of Surrey. Narrowing down localization errors from 734 meters to within ...
Aug 20, 2025
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Automotive
Dr. Abolfazl Karimpour, Assistant Professor of Transportation Engineering at SUNY Poly, has developed an innovative framework that estimates the length and duration of traffic queues and delays caused by crashes, without ...
Aug 15, 2025
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Business
New research shows that the app's ratings and incentive system has made drivers in Chicago as safe and reliable as taxi drivers. The findings suggest regulators may want to consider new quality-control measures.
Aug 8, 2025
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