Page 3: 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

Usage-based car insurance can improve driver safety

Drivers whose car insurance rates are based on data of their driving habits and who then also got tips about improving them were less likely to speed, brake hard, or rapidly accelerate than those who didn't participate in ...

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