A Literature Review on Train Motion Model Calibration

The dynamics of a moving train are usually described by means motion model based on Newton’s second law. This uses as input track geometry data and characteristics like mass, the parameters that running resistance, maximum tractive effort power, brake rates to be applied. It can reproduce predict accurately if mentioned carefully calibrated. constitutes core element broad variety railway applications, from timetabling tools Driver Advisory Systems Automatic Train Operation. Among existing calibration techniques, those use operational particular interest, they benefit on- board recorded data, capturing during operation. In this literature review article we provide an overview techniques have been published in scientific between January 2000 December 2021 either or minimally adapted it. To end, present critical approaches, distinguishing online analyzes the-go offline historical batchwise. We propose research agenda highlight some potential goals tackled near future: devising accurate calibrators for eco-driving applications quantitizing physical sources parameter variation. Last, discuss practical recommendations practitioners scholars inferred current state art.