Resumen
The reduction of energy consumption has gained significance in the past years as energy prices have been continuously increasing. Advances in railway telematics and the large amount of data obtained from train services enable the development of methods that are capable of further improving energy efficiency through the evaluation, control or prediction of energy utilization of the railways. The paper presents the results of a statistical analysis in which the rate of the possible energy savings is calculated using on-line telemonitoring system data. During the analysis one month real train data was processed from the MÁV Electronic Logbook System, narrowing the data to the electric locomotives. First a general statistical analysis is introduced to show the deviation of the energy consumption of trains running under the same conditions using a sufficiently large sample. In order to compare the individual train runs properly the train load has been taken into consideration, i.e. to evaluate the real energy consumption of the runs the effect of mass parameter should be taken into account. Next important question is whether only the traffic situation or also the human factor plays role in the energy consumption. The same dataset was analysed as above, but with considering the differences between the engine-drivers. The research has ended with the analysis of some sections microscopically. For this purpose, sections with relatively busy schedule table and large amount of data were chosen. Several parameters on the consumption were examined such as total journey time and the number of stops.