• Title/Summary/Keyword: 리엔지니어링

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A Study on the Real-Time Risk Analysis of Heavy-Snow according to the Characteristics of Traffic and Area (교통과 지역의 특성에 따른 대설의 실시간 피해 위험도 분석 연구)

  • KwangRim, Ha;YongCheol, Jung;JinYoung, Yoo;JunHee, Lee
    • Journal of Korea Society of Industrial Information Systems
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    • v.27 no.6
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    • pp.77-93
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    • 2022

  • In this study, we present an algorithm that analyzes the risk by reflecting regional characteristics for factors affected by direct and indirect damage from heavy-snow. Factors affected by heavy-snow damage by 29 regions are selected as influencing variables, and the concept of sensitivity is derived through the relationship with the amount of damage. A snow damage risk prediction model was developed using a machine learning (XGBoost) algorithm by setting weather conditions (snow cover, humidity, temperature) and sensitivity as independent variables, and setting the risk derived according to changes in the independent variables as dependent variables.

  • https://doi.org/10.9723/jksiis.2022.27.6.077 인용 PDF KSCI