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.

Automotive

Digital twin technology could speed safer urban road redesigns

Roosevelt Boulevard is a vital artery connecting North and Northeast Philadelphia, used by tens of thousands of people each day. It is as complex as it is iconic, with much of its length consisting of 12 lanes of moving traffic. ...

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