Safe Road Crossing

Safe road crossing, particularly for vulnerable road users like pedestrians and wheelchair users, is a critical area of research focusing on improving safety and efficiency at intersections and mid-block crossings. Current research employs various methods, including multi-sensor fusion, machine learning models (like recurrent neural networks and large multimodal models), and virtual reality simulations, to analyze pedestrian and vehicle behavior, predict potential collisions, and develop improved decision-support systems. These advancements aim to enhance safety by providing more accurate risk assessments and informing the design of safer infrastructure and autonomous vehicle interactions. The resulting insights and technologies have significant implications for improving road safety and accessibility for all road users.