Analysis of energy consumption and traffic flow by means of track occupation data

The paper presents a new approach to railway traffic analysis. Track occupation data is used to reconstruct the speed profile of the train and in a second step its energy consumption. The speed reconstruction algorithm is based on non-linear least squares optimisation and a simplified model of train motion. The engineering effort to make this method broadly applicable is presented as well as the train model which is used to derive energy consumption. The application of the algorithm is shown by means of a case study for a 180 km long Intercity line, where the results have been verified using GPS data and energy measurements.