Journal of the Korean Society of Safety (한국안전학회지)

The Korean Society of Safety (한국안전학회)
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A Study on Crowd Evacuation Simulation Validation Method using The Safeguard Validation Data Set (SGVDS) 1 and 2

The Safeguard Validation Data Set (SGVDS) 1과 2를 활용한 군중 대피 시뮬레이션 검증 방안에 관한 연구

  • Seunghyun Lee (i CAPTAIN Co., Ltd. Crowd Research Lab) ;
  • Jae Min Lee (Department of Naval Architecture and Ocean Engineering, Chonnam National University) ;
  • Hyuncheol Kim (i CAPTAIN Co., Ltd.)
  • 이승현 (주식회사 아이캡틴 기업부설연구소) ;
  • 이재민 (전남대학교 조선해양공학과) ;
  • 김현철 (주식회사 아이캡틴)
  • Received : 2024.03.05
  • Accepted : 2024.06.09
  • Published : 2024.06.30
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Abstract

In recent years, building architecture has become increasingly complex and larger in scale to accommodate many people. In densely populated facilities, the interiors are becoming more intricate and high-rise, with narrow corridors, hallways, and stairs. This poses challenges for evacuating occupants in case of emergencies such as fires, making it crucial to assess the evacuation safety in advance. In evacuation safety research, there are significant limitations to theoretical studies owing to their association with crowd behavior and human evacuation characteristics, as well as the risks associated with experiments involving human participants. Consequently, evacuation experiments conducted using simulation-based methodologies are gaining recognition worldwide. However, crowd simulations face validation difficulties because of variations in crowd movement and evacuation characteristics across different cases and scenarios, as well as the challenge of accurately reflecting human characteristics during evacuations. In this study, we investigated validation methods for evacuation simulations using the SAFEGUARD validation data set (SGVDS) provided by the University of Greenwich, UK. The SGVDS collects data on crowd evacuations through actual evacuation tests conducted on ColorLine's large RO-PAX ferry and Royal Caribbean International's cruise ships. The accuracy of the crowd simulations can be validated by comparing SGVDS and crowd simulation results. This study will contribute to the development of highly accurate crowd simulations by verifying various crowd simulations.

Keywords

Acknowledgement

This work is supported by the Korea Agency for Infrastructure Technology Advancement (KAIA) grant funded by the Ministry of Land, Infrastructure and Transport (Grant RS-2023-00238018).

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