Proper management of railway systems is currently mandatory in order to reach energy saving objectives that positively impact on both the internal railway system and its supplying power system. In such a context, the railway system has to be analyzed in terms of both structure renewal and energy efficiency strategies, including measures ranging from the eco-driving techniques to the energy recovery. The choice of the more appropriate measures to be implemented depends on the type of system under study, because diverse responses can be obtained for different system as a function of the technological characteristics and the imposed operating assignments. Therefore, the availability of tools able to accurately describe the behavior of a system characterized by high level of complexity phenomena becomes a fundamental instrument to assess the impact of alternative measures. Railway are complex systems, which depend of logistics, mechanical and electrical elements. These aspects are all together integrated in order to meet the expected requirements of customers. Motivated by above, this paper proposes a novel train-simulator developed in Simulink-MatLab framework. The proposed simulator calculates train dynamics and energy absorption for an assigned observation time. It performs the resolution of the motion equation for a rolling stock moving on assigned track and operating conditions. One of the advantages of the proposed simulator is its ability to be easily update to different type of railway systems as well as eco-driving techniques. In this paper, the simulator was tested on an urban metro system operating in the North of Italy.