UM data science projects promise to transform transportation

ANN ARBOR—On-demand, driverless public buses. Data-driven accident avoidance systems. “Smart” traffic systems that dramatically reduce emissions and congestion. Two new data science projects at the University of Michigan are working toward making these systems a reality. Supported by the Michigan Institute for Data Science (MIDAS) Challenge Initiatives program and UM-Dearborn, the projects bring together interdisciplinary teams of researchers from both campuses to tackle the grand problems of the future of transportation using massive amounts of data being produced by automated and connected vehicle testing sites, as well as in conventional driver-directed settings, in Ann Arbor and around the country. MIDAS recently awarded the two projects $1.25 million each under the first round of its Challenge Initiative program, with another $120,000 each contributed by UM-Dearborn. The funding is part of U-M’s…


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