Research on risk identification of human errors of train dispatchers in high-speed railway

Abstract

In order to prevent and reduce the human error of high-speed railway train dispatchers, the method of TOmada de Decisão Interativa Multicritério (TODIM) and Preference Ranking Organization Method for Enrichment Evaluations (PROMETHEE-II) was used to identify the human error risk of train dispatchers. In this paper, the risk attribute set is constructed from the three dimensions of human error probability, human error severity, and human error detection degree. Considering the fuzziness and uncertainty of risk attributes, it is represented by 2-tuples. At the same time, the entropy weight method is used to calculate the attribute weight. In order to reduce the defects of using TODIM and PROMETHEEII methods alone, the two methods are integrated and a new risk identification model is constructed. And the model is applied to the risk identification of human errors in dispatching command operations. The results show that the model can effectively identify the human error risk of train dispatchers, and the top three human error modes are the inversion of the operating procedure, the wrong handling decision and the issuance of invalid orders.