Development of an Advanced Framework for Preventing Railway Accidents Caused by Human Error 


Vol. 39,  No. 4, pp. 93-100, Aug.  2024
10.14341/JKOSOS.2024.39.4.93


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  Abstract

Recent incidents of railway derailments and staff fatalities have highlighted the persistent issue of railway accidents. Despite advancements in high-speed trains and automated, complex railway systems, operations and maintenance still heavily rely on human workers. Human error remains a significant factor in railway accidents, underscoring the critical need for system improvements and advanced safety management frameworks to prioritize safety and mitigate human error-related risks. This study aims to develop an advanced framework for preventing railway accidents caused by human errors. The research encompasses four major areas: (1) the development of a system for collecting and analyzing data on railway workers, including health information, work hours, camera footage, and biometric data such as blood pressure and heart rate; (2) the implementation of real-time safety support systems for railway workers using smart helmets and paperless tools; (3) the development of an integrated management system to evaluate and predict human errors through task analysis, identify safety and non-safety tasks, and quantify impact factors, similar to human reliability analysis; and (4) the development of a multiuser virtual training system for joint emergency response training; this system will enable multiple railway workers to train simultaneously, with real-time comprehensive analysis of training effectiveness based on the biometric signals of trainees.

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  Cite this article

[IEEE Style]

강성근 and 박찬우, "Development of an Advanced Framework for Preventing Railway Accidents Caused by Human Error," Journal of the Korean Society of Safety, vol. 39, no. 4, pp. 93-100, 2024. DOI: 10.14341/JKOSOS.2024.39.4.93.

[ACM Style]

강성근 and 박찬우. 2024. Development of an Advanced Framework for Preventing Railway Accidents Caused by Human Error. Journal of the Korean Society of Safety, 39, 4, (2024), 93-100. DOI: 10.14341/JKOSOS.2024.39.4.93.

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pISSN : 1229 - 9197
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