• Title/Summary/Keyword: XGBost

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Development of Prediction Model for Improvement of Safety Facilities in Frequent Traffic Accidents (교통사고 잦은 곳 안전시설 개선 방안 예측 모델 개발)

  • Jaekyung Kwon;Siwon Kim;Jae seong Hwang;Jaehyung Lee;Choul ki Lee
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.22 no.1
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    • pp.16-24
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    • 2023
  • Accidents are greatly reduced through projects to improve frequent traffic accidents. These results show that safety facilities play a big role. Traffic accidents are caused by various causes and various environmental factors, and it is difficult to achieve improvement effects by installing one safety facility or facilities without standards. Therefore, this study analyzed the improvement effect of each accident type by combining the two safety facilities, and suggested a method of predicting the combination of safety facilities suitable for a specific point, including environmental factors such as road type, road type, and traffic. The prediction was carried out by selecting an XGBoost technique that creates one strong prediction model by combining prediction models that can be simple classification. Through this, safety facilities that have had positive effects through improvement projects and safety facilities to be installed at points in need of improvement were derived, and safety facilities effect analysis and prediction methods for future installation points were presented.