Nowadays, huge volumes of traffic data are available from various sensors — and this special session focuses on the development of simulations of transportation that take advantage of this data to capture the complex nature of urban mobility. City planners and traffic operators could use these simulations to explore transportation what-if scenarios, e.g., investment in a new motorway. Driver-level simulation (microscopic) has been shown to be the most accurate approach; however, it is considered too computationally expensive to be deployed in Intelligent Transportation products. Macroscopic simulations on the other hand take into account spatial density and velocity on road segments, and use various flow management methods to propagate the load of vehicles to the next segments. The simplicity of the macroscopic models makes it less expensive in term of processing power required than more complex simulation models. However, they are not as accurate as microscopic simulation models. This special session will explore new advances in these two models (as well as hybrid models) of traffic simulation. We are looking for contributions that describe novel techniques, new applications, interesting applications etc.