Leveraging crowdsourcing to manage traffic has become commonplace in our deeply digitized and share-heavy society, thanks to apps like Google Maps and Waze. A government-academic partnership is looking to push the merger of data and traffic a few steps – or car lengths — further. The U.S. Department of Energy (DOE) is collaborating with the Transportation team at Argonne National Laboratory and UC Berkeley’s Lawrence Berkeley National Laboratory to investigate mobility systems. The new project aims to expediently predict and redirect traffic and is turning to machine learning algorithms to improve the process.