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.

Engineering

A new way to study how cannabis use impacts safe driving

As marijuana legalization expands across the U.S., it is outpacing research on the impact of cannabis use behind the wheel. Researchers at the Virginia Tech Transportation Institute (VTTI) recently spent two years collecting ...

Computer Sciences

Rethinking rush hour with vehicle automation

It's often the worst part of many people's day—bottlenecked, rush-hour traffic. When the daily commute backs up, drivers lose time, burn fuel and waste energy. Researchers at the U.S. Department of Energy's National Transportation ...

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