In recent years, every new car driver has been getting used to bells and beeps. As automakers try to make cars safer, they've ...

Driver distraction is an important factor leading to traffic accidents. The identification of drivers’ distracted states is of great significance to improve traffic safety. This paper presents a new ...

Researchers have developed a deep learning model called LSTM-SAM that predicts extreme water levels from tropical cyclones more efficiently and accurately, especially in data-scarce coastal ...

The integration of artificial intelligence (AI) and machine learning (ML) in oncology clinical trials is rapidly evolving alongside the broader field. For example, AI-driven adaptive trial designs may ...

BEIJING (Reuters) - Chinese autonomous driving technology developer DeepRoute.ai said on Tuesday it will cooperate with Qualcomm to develop "cost-effective" advanced driver assistance solutions ...

AI-powered safety platforms are emerging as drivers' preferred training method as distracted driving continues to impact crash rates.

News Driver Distractions ‘Exceedingly High’ When Using Partial Automation Systems: IIHS Catch-22: With more advanced safety tech in cars, the more comfortable drivers become with not driving.

Abstract: Driver distraction is an important factor leading to traffic accidents. The identification of drivers’ distracted states is of great significance to improve traffic safety. This paper ...

Driver behavior influences traffic patterns as much as roadway design Date: November 17, 2020 Source: University of Illinois at Urbana-Champaign, News Bureau Summary: Urban planners may soon have ...