This Thesis focuses on the development of computational tools for the simulation of the low frequency dynamics of articulated trains. By using these tools, the aim is to reach relevant conclusions for the preliminary design of these trains, since some important problems such as ride safety, dynamic instability and partly comfort are determined by this frequency range. For these tools to be efficient, they should allow for a low time-cost for the modelling, the calculations and the postprocessing of the results.Nowadays, the increase in the rolling stock speed and the energy efficiency are critical factors in the design of new high speed trains. In this regards, articulated trains share some features which make them particularly suitable for high speed operation. However, it is difficult for the commercial tools available for railway vehicle simulation to suit the modelling of articulated trains. Therefore, from the railway industry point of view, it would be interesting to have simplified models which reproduce the main issues regarding the low frequency dynamics of these trains. These models should be able to give reliable results and an overview on the dynamic behavior of the trains in order to guide the decisions in their design.A new methodology for developing dynamic models of articulated trains in an efficient manner will be presented in this work. In order to do so, some simplifying hypotheses will be introduced and the use of natural coordinates will be proposed to describe the kinematics of the carbodies. This methodology will be applied to develop linear and non-linear models of Talgo trains in order to validate the hypotheses assumed. Finally, some simulations will be run to establish the accuracy of the models and to improve the knowledge on the dynamic behavior of these trains.