Human exposure to traffic-related air pollution is widely acknowledged as a major health hazard worldwide. Computational models are estimated to be valuable tools to assess the exposure of humans to pollutants in an urban context. Promising outputs have been obtained by modelling chain of traffic models, emission models, and dispersion models. In this paper, we focus on the impact of traffic models on the emissions obtained. We are coupling two traffic models, the agentbased MATSim and the microscopic simulator Symuvia, with the emission model HBEFA. Our analysis comprises three main comparisons: the traffic conditions, the statistical distribution of emission and the spatial distribution of the gaps between models. Although emissions computed with the multi-agent model are higher than emissions obtained with the microscopic model, we observed some correlations between total air pollutant emissions. A correlation can be found spatially. However, we observed some significant gaps that needed to be investigated in more depth. This preliminary work is the first step in assessing human exposure to traffic-related emissions using different modelling approaches.