Online microscopic calibration of train motion models: Towards the era of customized control solutions

Abstract

The on-board collection of data related to train operation enables a better calibration of the current train motion models, which are fundamental for the elaboration of optimized train control solutions. Here, the possibility to implement an online calibration of train motion models at microscopic detail, i.e. to set the model’s parameters for the single train on the go, is explored. For this purpose, a comparison of different calibration models is proposed. Then, the performances of the models are evaluated according to the requirements for online elaborations. In the end, possible further requirements and limitations on the use are discussed.