Analysis of the use of behavioral data from virtual reality for calibration of agent-based evacuation models

Agent-based evacuation modeling represents an effective tool for making predictions about evacuation aspects of buildings such as evacuation times, congestions, and maximum safe building capacity. Collection of real behavioral data for calibrating agent-based evacuation models is time-consuming, cos...

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Main Authors: Vojtěch Juřík, Ondřej Uhlík, Dajana Snopková, Ondřej Kvarda, Tomáš Apeltauer, Jiří Apeltauer
Format: Article
Language:English
Published: Elsevier 2023-03-01
Series:Heliyon
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844023014822
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author Vojtěch Juřík
Ondřej Uhlík
Dajana Snopková
Ondřej Kvarda
Tomáš Apeltauer
Jiří Apeltauer
author_facet Vojtěch Juřík
Ondřej Uhlík
Dajana Snopková
Ondřej Kvarda
Tomáš Apeltauer
Jiří Apeltauer
author_sort Vojtěch Juřík
collection DOAJ
description Agent-based evacuation modeling represents an effective tool for making predictions about evacuation aspects of buildings such as evacuation times, congestions, and maximum safe building capacity. Collection of real behavioral data for calibrating agent-based evacuation models is time-consuming, costly, and completely impossible in the case of buildings in the design phase, where predictions about evacuation behavior are especially needed. In recent years evacuation experiments conducted in virtual reality (VR) have been frequently proposed in the literature as an effective tool for collecting data about human behavior. However, empirical studies which would assess validity of VR-based data for such purposes are still rare and considerably lacking in the agent-based evacuation modeling domain. This study explores opportunities that the VR behavioral data may bring for refining outputs of agent evacuation models. To this end, this study employed multiple input settings of agent-based evacuation models (ABEMs), including those based on the data gathered from the VR evacuation experiment that mapped out evacuation behaviors of individuals within the building. Calibration and evaluation of models was based on empirical data gathered from an original evacuation exercise conducted in a real building (N = 35) and its virtual twin (N = 38). This study found that the resulting predictions of single agent models using data collected in the VR environment after proposed corrections have the potential to better predict real-world evacuation behavior while offering desirable variance in the data outputs necessary for practical applications.
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spelling doaj.art-5fd1308983f24bb4a1e5a7c15e11df422023-04-05T08:22:29ZengElsevierHeliyon2405-84402023-03-0193e14275Analysis of the use of behavioral data from virtual reality for calibration of agent-based evacuation modelsVojtěch Juřík0Ondřej Uhlík1Dajana Snopková2Ondřej Kvarda3Tomáš Apeltauer4Jiří Apeltauer5Department of Psychology, Faculty of Arts, Masaryk University, Brno, Czech RepublicInstitute of Computer Aided Engineering and Computer Science, Faculty of Civil Engineering, Brno University of Technology, Brno, Czech RepublicDepartment of Geography, Faculty of Science, Masaryk University, Brno, Czech Republic; Corresponding author.Department of Geography, Faculty of Science, Masaryk University, Brno, Czech RepublicInstitute of Computer Aided Engineering and Computer Science, Faculty of Civil Engineering, Brno University of Technology, Brno, Czech RepublicInstitute of Computer Aided Engineering and Computer Science, Faculty of Civil Engineering, Brno University of Technology, Brno, Czech RepublicAgent-based evacuation modeling represents an effective tool for making predictions about evacuation aspects of buildings such as evacuation times, congestions, and maximum safe building capacity. Collection of real behavioral data for calibrating agent-based evacuation models is time-consuming, costly, and completely impossible in the case of buildings in the design phase, where predictions about evacuation behavior are especially needed. In recent years evacuation experiments conducted in virtual reality (VR) have been frequently proposed in the literature as an effective tool for collecting data about human behavior. However, empirical studies which would assess validity of VR-based data for such purposes are still rare and considerably lacking in the agent-based evacuation modeling domain. This study explores opportunities that the VR behavioral data may bring for refining outputs of agent evacuation models. To this end, this study employed multiple input settings of agent-based evacuation models (ABEMs), including those based on the data gathered from the VR evacuation experiment that mapped out evacuation behaviors of individuals within the building. Calibration and evaluation of models was based on empirical data gathered from an original evacuation exercise conducted in a real building (N = 35) and its virtual twin (N = 38). This study found that the resulting predictions of single agent models using data collected in the VR environment after proposed corrections have the potential to better predict real-world evacuation behavior while offering desirable variance in the data outputs necessary for practical applications.http://www.sciencedirect.com/science/article/pii/S2405844023014822PathfinderVirtual realityEvacuation behaviorAgent modelingIndoor navigationEvacuation time
spellingShingle Vojtěch Juřík
Ondřej Uhlík
Dajana Snopková
Ondřej Kvarda
Tomáš Apeltauer
Jiří Apeltauer
Analysis of the use of behavioral data from virtual reality for calibration of agent-based evacuation models
Heliyon
Pathfinder
Virtual reality
Evacuation behavior
Agent modeling
Indoor navigation
Evacuation time
title Analysis of the use of behavioral data from virtual reality for calibration of agent-based evacuation models
title_full Analysis of the use of behavioral data from virtual reality for calibration of agent-based evacuation models
title_fullStr Analysis of the use of behavioral data from virtual reality for calibration of agent-based evacuation models
title_full_unstemmed Analysis of the use of behavioral data from virtual reality for calibration of agent-based evacuation models
title_short Analysis of the use of behavioral data from virtual reality for calibration of agent-based evacuation models
title_sort analysis of the use of behavioral data from virtual reality for calibration of agent based evacuation models
topic Pathfinder
Virtual reality
Evacuation behavior
Agent modeling
Indoor navigation
Evacuation time
url http://www.sciencedirect.com/science/article/pii/S2405844023014822
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