Artificial Intelligence and Supercomputers to Help Alleviate Urban Traffic Problems

Researchers from the Texas Advanced Computing Center (TACC), the University of Texas Center for Transportation Research and the City of Austin are working to develop tools that allow sophisticated, searchable traffic analyses using deep learning and data mining. At the IEEE International Conference on Big Data this month, they will present a new deep learning tool that uses traffic camera footage to recognise objects and characterise how they move and interact. [UTexas]