Making self-driving cars safer, less accident prone

Self-driving cars rely on artificial intelligence to predict where nearby cars will go. But when those predictions don’t match reality, that discrepancy can potentially lead to crashes and less safe roadways. That’s why a recent study from the University of Georgia developed a new AI model to make self-driving cars safer.

Johns Hopkins Center for Injury Research and Policy at Bloomberg School of Public Health Co-Hosts Panel on Road Safety, Tuesday, May 11 at 2 PM EDT

The Johns Hopkins Center for Injury Research and Policy at the Johns Hopkins Bloomberg School of Public Health is co-hosting an online panel discussion at 2 p.m., Tuesday, May 11, EDT, with the Institute of Transportation Engineers.

Complex Fluid Dynamics May Explain Hydroplaning

Research into hydroplaning currently uses a test track equipped with a transparent window embedded in the ground. The area above is flooded and a tire rolling over the window is observed with a high-speed camera. Investigators in France have developed a more sophisticated approach involving fluorescent seeding particles to visualize the flow and used a sheet of laser light to illuminate the area. They discuss their work in Physics of Fluids.