A first-year seed project funded by HPC4Mobility, the DOE Vehicle Technologies Office’s program for exploring energy efficiency increases in mobility systems, demonstrates how such a goal could be accomplished. Using the preexisting stop-light cameras of GRIDSMART, a Tennessee-based company that specializes in traffic-management services, researchers at DOE’s Oak Ridge National Laboratory have designed a computer vision system that can visually identify vehicles at intersections, determine their gas mileage estimates, and then direct traffic lights to keep less-efficient vehicles moving to reduce their fuel consumption.
Simulations, AI enable GRIDSMART cameras to time traffic lights to MPG estimates
February 25, 2020
Published on February 25, 2020 by maspect_admin