U. Minnesota team develops Lagrangian technique to identify NOx hotspots; opportunity for connected vehicles and big data
Green Car Congress
MAY 15, 2016
Researchers at the University of Minnesota have introduced a new method for identifying NO x emissions hotspots using high-fidelity Lagrangian vehicle data to explore spatial interactions that may influence emissions production. Their study, published in the ACS journal Environmental Science & Technology , finds that the two transit buses under study—a conventional powertrain transit bus and a series electric hybrid bus—emit higher than regulated emissions because on-route operation
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