An Efficient Evaluation Scheme for KPIs in Regulated Urban Train Systems

Abstract

This paper considers evaluation of Key Performance Indicators (KPIs) for urban train systems equipped with regulation algorithms. We describe an efficient simulation model that can represent a network, animate metros, and integrate existing regulation schemes as black boxes. This macroscopic model allows efficient simulation of several hours of networks operations within a few seconds. We demonstrate the capacities of this simulation scheme on a case study and show how statistics can be derived during simulation campaigns. We then discuss possible improvements to increase accuracy of models.