The use of driving simulators for enhancing train driver’s performance in terms of energy consumption

Abstract

This paper presents a driving simulator to be used by train drivers for training their driving skills in terms of energy-efficiency. In railway operations, previous experiences have shown differences in energy consumption up to 20 % among train drivers for the same journey in similar operational conditions. This shows great saving potentials in both economic and environmental terms. For this reason, railway companies wishing to become more efficient must encourage their train drivers to balance the energy consumption towards the minimum threshold. In this sense, driving simulators are a good complement for training courses on energy-saving best practices given to train drivers, where they can put into practice the learned contents. The developed driving simulator consists in an Excel spreadsheet including an accurate energy consumption model, which was previously developed from real measurements on different train services. The fact of being an Excel spreadsheet provides a familiar interface to train drivers, making easier its use, and becomes an affordable tool for small and medium size freight private railway companies. Furthermore, the fact of being a non-real-time simulation makes possible to perform a journey of several hours in a few minutes, thus being able to test different driving strategies for the same train journey in a short time period. In this paper, the driving simulator was applied to the Valencia-Cuenca-Aranjuez railway line operated by Renfe Operadora with Diesel Multiple Units. The results are given in terms of fuel consumption, costs of fuel and CO2 emissions and enable train drivers to find by themselves the most efficient way to drive the train between two stations. Finally, this driving simulator may serve as the basis for training and evaluating train drivers in order to set up a bonus/penalty policy for rewarding the most efficient train drivers and achieve an overall energy consumption reduction.DOI: http://dx.doi.org/10.4995/CIT2016.2016.4236