ABSTRACT
SimMETRO is a microscopic, dynamic, stochastic simulator of urban rail operations (METRO), specifically designed for service performance analysis, and the evaluation of operations and strategies for a real-time control of subway systems. SimMETRO employs a detailed representation of the network, rolling stock, signal control, demand, schedule and dispatching. In particular, the various sources of stochasticity in operations are explicitly captured. This chapter presents approaches for the calibration of model parameters and input (such as dynamic arrival and alighting rates), and a case study illustrates the applicability of the model and the proposed calibration methodology. After calibration, the RMSE of block run times (relative to actual times as reported by the train detection system) was reduced by 60% as compared to the default values. The calibrated demand was in good agreement with recent counts of arrival rates at the stations.
