RECIFE-MILP tackles the real-time railway traffic management problem. It relies on the solution of a mixed integer linear programming (MILP) model through a MILP solver. Mostly linked to this solver, RECIFE-MILP includes numerous configurable parameters, which can significantly influence its performance and are challenging to configure manually. Consequently, automatic parameter configuration appears as a promising option to obtain the best possible performance in a short computation time. This paper addresses two research questions: (1) Can automatic parameter configuration significantly enhance RECIFE-MILP’s performance? (2) Do distinct classes of problem instances require specialized configurations? To answer these questions, we present an experimental study using irace, a state-of-the-art parameter configuration tool. Experiments on three French control areas demonstrate that automatically chosen configurations achieve significant performance gains compared to default parameter settings. However, the benefit of configuring RECIFE-MILP for specific classes of instances does not clearly emerge.