A Study on Prediction of Suspension Time of Unmanned Light Rail according to Safety Personal Deployment 


Vol. 38,  No. 1, pp. 87-92, Feb.  2023
10.14346/JKOSOS.2023.38.1.87


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  Abstract

The number of unmanned light rail train operators is continuously increasing in Korea. In a failure event during an operation due to the nature of the unmanned operation, recovery is performed based on the remote control. However, if remote recovery is not feasible, safety personnel arrive at the train to resume the train operation. There are regulations on safety personnel and the suspension time of the train operation. However, there is currently no rule for safety personnel deployment. Currently, railway operating organizations operate in three scenarios: safety personnel on board trains, stationed at stations, and deployed at major stations. Four major factors influence the downtime for each emergency response scenario. However, these four influencing factors vary too much to predict results with simple calculations. In this study, four influencing factors were considered as random variables with high uncertainty. In addition, the Monte Carlo method was applied to each scenario for the safety personnel deployment to predict train service downtime. This study found a 17% difference in train service suspension by safety personnel deployment scenario. The results of this study can be used in setting service goals, such as standards for future safety personnel placement and frequency of service interruptions.

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  Cite this article

[IEEE Style]

곽상록, "A Study on Prediction of Suspension Time of Unmanned Light Rail according to Safety Personal Deployment," Journal of the Korean Society of Safety, vol. 38, no. 1, pp. 87-92, 2023. DOI: 10.14346/JKOSOS.2023.38.1.87.

[ACM Style]

곽상록. 2023. A Study on Prediction of Suspension Time of Unmanned Light Rail according to Safety Personal Deployment. Journal of the Korean Society of Safety, 38, 1, (2023), 87-92. DOI: 10.14346/JKOSOS.2023.38.1.87.

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