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U. Minnesota team develops Lagrangian technique to identify NOx hotspots; opportunity for connected vehicles and big data

Green Car Congress

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. A study by Wu et al. Andreae et al.

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