Metro systems are one of the most common transportation method in major cities. As a consequence, modeling and simulation of metro systems under different conditions are important to improve their performance. In this paper, we focus on the modeling of the arrival of passengers on a simple Metro line. In particular, we propose to estimate the parameters of two different point process models for the passenger arrival: a non-homogeneous Poisson process and a Hawkes-Phan process. We present preliminary numerical results based both on real data and data generated using a simulator developed by the authors jointly with MetroValparaiso, Chile.