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In densely populated urban areas, air quality is one of the main concerns, affecting human health and the environment. In developing and emerging countries, an alternative method for reducing the effects of air pollution is to select vehicles with lower pollutant emissions, as a way of making these large centers more sustainable. Since the complete elimination of vehicle emissions is not possible in the short term. The aim of this work is conducting a selectivity study of low-emission vehicles to increase the proportion of less polluting vehicles by using a dynamic combination of technical information while simultaneously meeting consumer preferences. An adapted Analytic Hierarchy Process (AHP), a multi-criteria technique, was applied on secondary data on vehicle characteristics. The Brazilian Labeling Program was the main resource used in this research. The research innovatively promotes vehicle selection considering environmental aspects. In addition to being adaptable, dynamic, and interactive, it facilitates its use in different vehicle markets and contributes to policies for reducing pollutant emissions. Thus, the study presents a strategy to minimize vehicle emissions in urban centers until the energy transition is consolidated, especially in emerging countries like Brazi