Risk Assessment for the Preparation of Training Scenarios for Tram Drivers

Abstract

Virtual reality (VR) is widely used in transportation systems. In railway, VR is used as an element supporting the personnel training process. The results presented in the article result from work under the project “Innovative training system for tram drivers based on a full-cabin simulator with the use of cognitive science,” funded by the National Center for Research and Development. The first stage of this project's work was identifying all potential adverse events. Authors aim to present the results of the analysis and risk assessment of adverse events, which will form the basis for developing training scenarios for tram drivers. The activities undertaken in the article included the preparation of a risk matrix in two dimensions – the probability and consequences of an adverse event. The results showed that most of the identified events belong to the group of catastrophic and unacceptable risks. Therefore, they should be reflected as driver collocation scenarios.