Civil Engineering team develops realistic artificial data set for road safety studies
A Mizzou Engineering team is hoping artificial intelligence (AI) can be leveraged to prevent vehicle crashes in the future. To that end, they’ve developed realistic artificial data sets (RAD) that can be used to train machines to predict the factors that cause wrecks. These data sets are now available through the U.S. Department of Transportation. The three-year $1.1M project was supported by the US DOT’s Exploratory Advance Research Program.
Tracking traffic crashes: Researcher, Missouri State Highway Patrol working to understand where, when accidents happen
In addition to potential injuries and property damage, traffic crashes can cause a lot of disruptions from making people late to work to delaying package delivery. A Mizzou Engineer is working with the Missouri State Highway Patrol (MSHP) to better understand when and where traffic accidents happen in hopes of minimizing those disruptions.
Computer Science Students Create RIDSI Website to Help Track Traffic
State officials and emergency workers in Missouri will have an easier way to view traffic data in the future, thanks to a Mizzou Engineering collaboration. For their senior capstone project, computer science students created a website and mobile app that provide a central source for real-time and historical transportation information.