Road Safety

Road safety research aims to reduce traffic accidents and fatalities through improved understanding and prediction of accident causes and development of preventative technologies. Current efforts focus on leveraging AI, particularly convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformer models, to analyze diverse data sources like video footage, sensor data (from vehicles and smartphones), and historical accident records for tasks such as driver distraction detection, speed estimation, and hazard identification. These advancements enable real-time monitoring, improved infrastructure design, and the development of more effective driver-assistance systems, ultimately contributing to safer roads and reduced societal costs associated with traffic accidents.