Method for Assigning Railway Traffic Managers to Tasks along with Models for Evaluating and Classifying

Abstract

The occurrence of incidences in railway systems leads to impediments and often delays. Because the railway is an anthropotechnical system, two factors are considered as the source of incidents: technical and human. Minimizing adverse incidents in the railway system is the subject of much discussion and research. One of the areas affecting the performance of railway systems is employees. This article presents a method for assigning railway employees to tasks and models for evaluating and classifying railway employees, consisting of two stages. The first stage involves using a survey method and a fuzzy logic model. Each type of service is assigned feature values, obtaining three parameterized employee-role profiles for the train traffic officer. In the second stage, the participant goes through two of the three available evaluation scenarios, during which errors made during the tasks are counted. Validation results of the proposed approach indicate that the method is 87% effective.