Analysis of Driving Performance Data to Evaluate Brake Manipulation by Railway Drivers

Abstract

Here, we aim to investigate the relationship between the braking operations used to stop a train at a station and the errors in the train’s stopping position. Hence, using driving performance data, a logistic regression analysis was conducted. This analysis revealed that the train stopping-position errors at stations were associated with the standard deviation of the sum of brake notches, the mean of the additional brake notches, and the duration of driving experience. Drivers with a larger dispersion of brake notches in the individual were more prone to cause stopping-position errors at stations. Further, drivers who frequently used additional brake notches were more likely to cause stopping-position errors at stations. Furthermore, operators with more driving experience were less likely to incur stopping-position errors.