2004. MSc in Transport Engineering, 2007. MSc in Financing Engineering, 2008. PhD. in Transport Sciences, 2009. Junior researcher at Budapest University of Technology and Economics, 2012. Researcher at Budapest University of Technology and Economics, 2016. PhD. in Business and Management, 2016. Vice Dean responsible for Research and International Cooperation  

In recent years, road transport emission models have developed for better estimation of road traffic emissions. Higher and higher temporal and spatial resolution has been achieved, to be able to use emission estimation as a tool in air quality management. Road transport related emission models are becoming more and more complex. In this paper their results were compared together in order to show the change of annual harmful emissions from road transport in different countries. The previous research of the authors showed that three different macro emission estimation models (Consumption-based, Euro standard based, speed-based) will provide different outputs with the same input parameters taking different pollutants (e.g. CO₂, CO, HC, NOx, PM) into account. In this paper, the previously mentioned emission estimation models were analyzed based on the number of criteria (number of input variables, complexity, different pollutants) using multi-criteria analysis. The results will show a set of decision trees for different road transport macro emission estimations and will suggest using any of these emission estimation models based on the available input and desired output variables.