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. Average real-world tailpipe NO x in g/bkW-hr versus route, test period, and vehicle type. A study by Wu et al.
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