• Title/Summary/Keyword: 인적오류 유형화

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A Study on the Derivation of Risk Factors in Railway Site for the Improvement of Artificial Intelligence(AI)-Railway Safety System (AI기반 철도안전시스템 개선을 위한 철도현장 위험요소 도출에 관한 연구)

  • Hoon Jung;Sanghoon Lee;Jangwook Kim;Sooyoung Kwon
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.23 no.5
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    • pp.234-247
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    • 2024
  • The purpose of this study was to assess the problems of workers at railroad construction sites and suggest ways to ensure worker safety through the analysis of accidents and worker problems at these sites. First, the important worker safety factors in railway construction accidents were categorized into four types through focus group interviews (FGIs). Second, the factors that had the greatest impact on the problems related to railway sites and workers were identified by conducting surveys and interviews. The problems relating to each factor and ways to ensure safety at the railway sites were identified. Thus, it is believed that this study can provide important evidence for securing the safety of railroad workers and establishing an artificial intelligence (AI)-based railway safety system in the future.