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Yeti 1.0: a generalized framework for constructing bottom-up emission inventory from traffic sources
Abstract. This paper outlines the development and operation of Yeti, a bottom-up traffic emission inventory framework written in the Python 3 scripting language. A generalized representation of traffic activity and emission data affords a high degree of scalability and flexibility in the use and execution of Yeti, while accommodating a wide range of details on topological, traffic, and meteorological data. The resulting traffic emission data are calculated at a road level resolution on andoi:10.5194/gmd-2022-147 fatcat:unfffagc7nhlrfzyy5togbh7mu