Research on the Risks of Railroad Receiving and Dispatching Train Operators: Natural Language Processing Risk Text Mining

Receiving and dispatching trains is an important part of railroad organization, and the risk evaluation of operating personnel is tricky because of diverse types of risk events and still reflected by the number of risks, lacking further excavation of historical examination and accidents. With Natural Language Processing (NLP) technology, this study extracts the key keywords and phrases of 40 relevant risk events about receiving and dispatching trains and reclassifies the risk events into 8 categories, such as train approach and signal risks, dispatching command risks, and so on. Based on the historical risk data of individuals, the K-Means clustering method is used to classify the risk performance of individual clusters. The result indicates that the operators need to strengthen their training in train receiving and dispatching operations towards dispatching command risks, approach and signal risks, and the essential train risks.