When Iowa's snow piles up, TensorFlow can keep roads safe

Iowa may be heaven, but it's a snowy one. With an average of around 33 inches of snow every year, keeping roads open and safe is an important challenge. Car accidents tend to spike during the winter months each year in Iowa, as do costly delays. And dangerous commutes can mean hazards for people and commerce alike: the state is one of the country's largest producers of agricultural output, and much of that is moved on roads. To improve road safety and efficiency, the Iowa Department of Transportation has teamed up with researchers at Iowa State University to use machine learning, including our TensorFlow framework, to provide insights into traffic behavior.