An improved social force model (ISFM)-based crowd evacuation simulation method in virtual reality with a subway fire as a case study

Crowd evacuation simulation using virtual reality (VR) is significant for digital emergency response construction. However, existing evacuation simulation studies suffer from poor adaptation to complex environments, inefficient evacuations, and poor simulation effects and do not fully consider the i...

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Main Authors: Jinbin Zhang, Jun Zhu, Pei Dang, Jianlin Wu, Yuxuan Zhou, Weilian Li, Lin Fu, Yukun Guo, Jigang You
Format: Article
Language:English
Published: Taylor & Francis Group 2023-12-01
Series:International Journal of Digital Earth
Subjects:
Online Access:http://dx.doi.org/10.1080/17538947.2023.2197261
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author Jinbin Zhang
Jun Zhu
Pei Dang
Jianlin Wu
Yuxuan Zhou
Weilian Li
Lin Fu
Yukun Guo
Jigang You
author_facet Jinbin Zhang
Jun Zhu
Pei Dang
Jianlin Wu
Yuxuan Zhou
Weilian Li
Lin Fu
Yukun Guo
Jigang You
author_sort Jinbin Zhang
collection DOAJ
description Crowd evacuation simulation using virtual reality (VR) is significant for digital emergency response construction. However, existing evacuation simulation studies suffer from poor adaptation to complex environments, inefficient evacuations, and poor simulation effects and do not fully consider the impacts of specific disaster environments on crowd evacuation. To more realistically express the crowd evacuation results obtained under the influence of fire environments and the subjective consciousness of pedestrians in subway stations, we designed a dynamic pedestrian evacuation path planning method under multiple constraints, analysed the influences of an ‘environmental role’ and a ‘subjective initiative’ on crowd evacuation, established an improved social force model (ISFM)-based crowd evacuation simulation method in VR, developed a prototype system and conducted experimental analyses. The experimental results show that the crowd evacuation time of the ISFM is affected by the disaster severity. In simulation experiments without disaster scenarios, the improved model's crowd evacuation efficiency improved by averages of 12.53% and 15.37% over the commercial Pathfinder software and the original social force model, respectively. The method described herein can effectively support real-time VR crowd evacuation simulation under multiexit and multifloor conditions and can provide technical support for emergency evacuation learning and management decision analyses involving subway fires.
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spelling doaj.art-949d417ddcf74d2e84c84d90bf6ebaaf2023-09-21T14:57:12ZengTaylor & Francis GroupInternational Journal of Digital Earth1753-89471753-89552023-12-011611186120410.1080/17538947.2023.21972612197261An improved social force model (ISFM)-based crowd evacuation simulation method in virtual reality with a subway fire as a case studyJinbin Zhang0Jun Zhu1Pei Dang2Jianlin Wu3Yuxuan Zhou4Weilian Li5Lin Fu6Yukun Guo7Jigang You8Southwest Jiaotong UniversitySouthwest Jiaotong UniversitySouthwest Jiaotong UniversitySouthwest Jiaotong UniversitySouthwest Jiaotong UniversityUniversity of BonnSouthwest Petroleum UniversitySouthwest Jiaotong UniversitySouthwest Jiaotong UniversityCrowd evacuation simulation using virtual reality (VR) is significant for digital emergency response construction. However, existing evacuation simulation studies suffer from poor adaptation to complex environments, inefficient evacuations, and poor simulation effects and do not fully consider the impacts of specific disaster environments on crowd evacuation. To more realistically express the crowd evacuation results obtained under the influence of fire environments and the subjective consciousness of pedestrians in subway stations, we designed a dynamic pedestrian evacuation path planning method under multiple constraints, analysed the influences of an ‘environmental role’ and a ‘subjective initiative’ on crowd evacuation, established an improved social force model (ISFM)-based crowd evacuation simulation method in VR, developed a prototype system and conducted experimental analyses. The experimental results show that the crowd evacuation time of the ISFM is affected by the disaster severity. In simulation experiments without disaster scenarios, the improved model's crowd evacuation efficiency improved by averages of 12.53% and 15.37% over the commercial Pathfinder software and the original social force model, respectively. The method described herein can effectively support real-time VR crowd evacuation simulation under multiexit and multifloor conditions and can provide technical support for emergency evacuation learning and management decision analyses involving subway fires.http://dx.doi.org/10.1080/17538947.2023.2197261subway station fireimproved social force modelcrowd evacuation simulationvirtual realitypath planning
spellingShingle Jinbin Zhang
Jun Zhu
Pei Dang
Jianlin Wu
Yuxuan Zhou
Weilian Li
Lin Fu
Yukun Guo
Jigang You
An improved social force model (ISFM)-based crowd evacuation simulation method in virtual reality with a subway fire as a case study
International Journal of Digital Earth
subway station fire
improved social force model
crowd evacuation simulation
virtual reality
path planning
title An improved social force model (ISFM)-based crowd evacuation simulation method in virtual reality with a subway fire as a case study
title_full An improved social force model (ISFM)-based crowd evacuation simulation method in virtual reality with a subway fire as a case study
title_fullStr An improved social force model (ISFM)-based crowd evacuation simulation method in virtual reality with a subway fire as a case study
title_full_unstemmed An improved social force model (ISFM)-based crowd evacuation simulation method in virtual reality with a subway fire as a case study
title_short An improved social force model (ISFM)-based crowd evacuation simulation method in virtual reality with a subway fire as a case study
title_sort improved social force model isfm based crowd evacuation simulation method in virtual reality with a subway fire as a case study
topic subway station fire
improved social force model
crowd evacuation simulation
virtual reality
path planning
url http://dx.doi.org/10.1080/17538947.2023.2197261
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