Scientists at the University of Sharjah have developed a new machine learning model capable of predicting whether a driver is likely to be involved in an accident before getting behind the wheel. Road accidents are frequently linked to human error, yet traditional driver screening methods, particularly in the taxi and commercial transport sectors, tend to rely heavily on experience and background checks. According to the researchers, these criteria often fall short of predicting who may pose a higher risk on the road.
AI can flag high-risk motorists before getting on the road, scientists say
