A dynamic modelling chain, coupling the Symuvia dynamic traffic model (LICIT, Ifsttar / ENTPE) and the Noisemodelling noise level prediction tool (UMRAE, Ifsttar / Cerema), is developed in this paper to assess the impact of road traffic on noise environments at the scale of an urban traffic network of about 10 km² located in Lyon/Villeurbanne. The simulation, which reproduces 3 hours of a morning rush hour scenario, highlights the increase in noise levels associated with the increase in travel demands. It also highlights that the increase in noise levels is not uniformly distributed over the network and has a greater impact on the streets where traffic is reported. In addition, noise dynamics are modified: background noise is particularly sensitive to the increase in vehicle density on the network, so periods of calm on the network are rare. A more detailed analysis of this dynamic is possible locally through the analysis of the evolution of the LAeq,1s and the study of specific acoustic indicators. Desirable improvements to the model are discussed, with a view to assessing the currently unknown acoustic impact of road traffic management strategies at the scale of an urban network.