Article

Crowd simulation for emergency response using BDI agent based on virtual reality

Authors:

Ameya Shendarkar,

Karthik Vasudevan,

Seungho Lee,

Young-Jun SonAuthors Info & Claims

WSC '06: Proceedings of the 38th conference on Winter simulation

Pages 545 - 553

Published: 03 December 2006 Publication History

Get Access

Abstract

This paper presents a novel VR (Virtual Reality) trained BDI (belief, desire, intention) software agent used to construct crowd simulations for emergency response. The BDI framework allows modeling of human behavior with a high degree of fidelity. The proposed simulation has been developed using AnyLogic software to mimic crowd evacuation from an area under a terrorist bomb attack. The attributes that govern the BDI characteristics of the agent are studied by conducting human in the loop experiments in VR using the CAVE (Cave Automatic Virtual Environment). To enhance generality and interoperability of the proposed crowd simulation modeling scheme, input data models have been developed to define environment attributes. Experiments are also conducted to demonstrate the effect of various parameters on key performance indicators such as crowd evacuation rate and densities.

References

[1]

Cormen T. H., C. E. Leiserson, R. L. Rivest, and C. Stein. Introduction to Algorithms, Second Edition. MIT Press and McGraw-Hill, 2001.Chapters 24, 25:pp.580--642.

Digital Library

Google Scholar

[2]

Fikes, R., and N. Nilsson. STRIPS: a new approach to the application of theorem proving. Artificial intelligence, Vol. 2, pp. 189--208, 1971.

Google Scholar

[3]

Ingrand, F. F., M. P. Georgeff, and A. S. Rao. An architecture for real-time reasoning and system control. IEEE expert magazine, 7(6), pp. 33--44, 1992

Digital Library

Google Scholar

[4]

Jain, S., and C. R. McLean 2006. An Integrated Framework for Modeling and Simulation for Incident Management. Journal of Homeland Security and Emergency Management(Volume 3 Issue 1)

Google Scholar

[5]

Laughery, R., 1998. Computer simulations as a tool for studying human-centered systems. In Proceedings of the 2001 winter simulation conference, pp. 61--65, 1998

Digital Library

Google Scholar

[6]

Macal, C. M., and M. J. North 2005. Tutorial on Agent-Based Modeling and Simulation. In Proceeding of the 2005 Winter Simulation Conference, ed. M. E. Kuhl, N. M. Steiger, F. B. Armstrong, and J. A. Joines,

Digital Library

Google Scholar

[7]

Norling, E. Folk psychology for human modeling: extending the BDI paradigm. In International conference on autonomous agents and multi agent system (AAMAS), New York, 2004.

Digital Library

Google Scholar

[8]

Zhao X., Y. Son. BDI Based Human Decision Making Model in Automated Manufacturing System. Department of Systems and Industrial Engineering, University of Arizona.

Google Scholar

Cited By

View all

Andelfinger PChen YSu BCai WZehe DEckhoff DKnoll AJohansson BJain S(2018)Incremental calibration of seat selection preferences in agent-based simulations of public transport scenariosProceedings of the 2018 Winter Simulation Conference10.5555/3320516.3320625(833-844)Online publication date: 9-Dec-2018
https://dl.acm.org/doi/10.5555/3320516.3320625
Bulumulla CPadgham LSingh DChan JLarson KWinikoff MDas SDurfee E(2017)The Importance of Modelling Realistic Human Behaviour When Planning Evacuation SchedulesProceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems10.5555/3091125.3091192(446-454)Online publication date: 8-May-2017
https://dl.acm.org/doi/10.5555/3091125.3091192
Singh DPadgham LLogan B(2016)Integrating BDI Agents with Agent-Based Simulation PlatformsAutonomous Agents and Multi-Agent Systems10.1007/s10458-016-9332-x30:6(1050-1071)Online publication date: 1-Nov-2016
https://dl.acm.org/doi/10.1007/s10458-016-9332-x
Show More Cited By

Recommendations

Crowd simulation in emergency aircraft evacuation using Virtual Reality
CGAMES '11: Proceedings of the 2011 16th International Conference on Computer Games

There has been considerable interest in crowd simulation and creating crowds of virtual humans that will move in a virtual environment in a believable way. This paper presents an experimental design for assessing human behavior in emergency evacuation ...
Psychological response to an emergency in virtual reality

A Black or White virtual human asks participants for help.Two types of simulated emergency are manipulated.Navigation behavior and anxiety change during the simulated emergency.Racial discrimination is observed.Situational aspects of the emergency ...
Psychological response to an emergency in virtual reality: Effects of victim ethnicity and emergency type on helping behavior and navigation
Highlights
- A Black or White virtual human asks participants for help.
- Two types of ...
Abstract
Virtual environments are increasingly used for emergency training, but tend to focus mainly on teaching prescribed emergency procedures. However, social psychology literature highlights several factors that can bias individual response ...

Comments

Information & Contributors

Information

Published In

WSC '06: Proceedings of the 38th conference on Winter simulation

December 2006

2429 pages

ISBN:1424405017

Editors:
L. Felipe Perrone
Bucknell University
,
Barry G. Lawson
University of Richmond
,
Jason Liu
Colorado School of Mines
,
Frederick P. Wieland
Sensis Corporation
,
General Chair:
David Nicol
University of Illinois, Urbana-Champaign
,
Program Chair:
Richard Fujimoto
College of Computing, Georgia Tech

Publisher

Winter Simulation Conference

Publication History

Published: 03 December 2006

Check for updates

Qualifiers

Article

Conference

WSC06

Sponsor:

IIE
ASA
IEICE ESS
IEEE-CS\DATC
SIGSIM
NIST
(SCS)
INFORMS-CS

WSC06: Winter Simulation Conference 2006

December 3 - 6, 2006

California, Monterey

Acceptance Rates

WSC '06 Paper Acceptance Rate 177 of 252 submissions, 70%;

Overall Acceptance Rate 3,413 of 5,075 submissions, 67%

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

13
Total Citations
View Citations
1,111
Total Downloads

Downloads (Last 12 months)2
Downloads (Last 6 weeks)0

Reflects downloads up to 07 Mar 2025

Other Metrics

View Author Metrics

Citations

Cited By

View all

Andelfinger PChen YSu BCai WZehe DEckhoff DKnoll AJohansson BJain S(2018)Incremental calibration of seat selection preferences in agent-based simulations of public transport scenariosProceedings of the 2018 Winter Simulation Conference10.5555/3320516.3320625(833-844)Online publication date: 9-Dec-2018
https://dl.acm.org/doi/10.5555/3320516.3320625
Bulumulla CPadgham LSingh DChan JLarson KWinikoff MDas SDurfee E(2017)The Importance of Modelling Realistic Human Behaviour When Planning Evacuation SchedulesProceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems10.5555/3091125.3091192(446-454)Online publication date: 8-May-2017
https://dl.acm.org/doi/10.5555/3091125.3091192
Singh DPadgham LLogan B(2016)Integrating BDI Agents with Agent-Based Simulation PlatformsAutonomous Agents and Multi-Agent Systems10.1007/s10458-016-9332-x30:6(1050-1071)Online publication date: 1-Nov-2016
https://dl.acm.org/doi/10.1007/s10458-016-9332-x
Kountouriotis VThomopoulos SPapelis Y(2014)An agent-based crowd behaviour model for real time crowd behaviour simulationPattern Recognition Letters10.1016/j.patrec.2013.10.02444:C(30-38)Online publication date: 15-Jul-2014
https://dl.acm.org/doi/10.1016/j.patrec.2013.10.024
Manley MKim Y(2012)ExitusInternational Journal of Intelligent Information Technologies10.4018/jiit.20120401018:2(1-13)Online publication date: 1-Apr-2012
https://dl.acm.org/doi/10.4018/jiit.2012040101
Van den Bosch KBrandenburgh AMuller THeuvelink A(2012)Characters with personality!Proceedings of the 12th international conference on Intelligent Virtual Agents10.1007/978-3-642-33197-8_44(426-439)Online publication date: 12-Sep-2012
https://dl.acm.org/doi/10.1007/978-3-642-33197-8_44
Madireddy MMedeiros DKumara S(2011)An agent based model for evacuation traffic managementProceedings of the Winter Simulation Conference10.5555/2431518.2431542(222-233)Online publication date: 11-Dec-2011
https://dl.acm.org/doi/10.5555/2431518.2431542
Okaya MTakahashi T(2011)Human relationship modeling in agent-based crowd evacuation simulationProceedings of the 14th international conference on Agents in Principle, Agents in Practice10.1007/978-3-642-25044-6_40(496-507)Online publication date: 16-Nov-2011
https://dl.acm.org/doi/10.1007/978-3-642-25044-6_40
da Costa LClua EGiraldi GBernardini FBianchi RSchulze BMontenegro A(2010)A framework of intentional characters for simulation of social behaviorProceedings of the 2010 Summer Computer Simulation Conference10.5555/1999416.1999446(244-249)Online publication date: 11-Jul-2010
https://dl.acm.org/doi/10.5555/1999416.1999446
Oğuz OAkaydın AYılmaz TGüdükbay U(2010)Technical SectionComputers and Graphics10.1016/j.cag.2009.12.00434:2(136-144)Online publication date: 1-Apr-2010
https://dl.acm.org/doi/10.1016/j.cag.2009.12.004
Show More Cited By

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Abstract

References

Cited By

Recommendations

Crowd simulation in emergency aircraft evacuation using Virtual Reality

Psychological response to an emergency in virtual reality

Psychological response to an emergency in virtual reality: Effects of victim ethnicity and emergency type on helping behavior and navigation

Comments

Information

Published In

Sponsors

Publisher

Publication History

Check for updates

Qualifiers

Conference

Acceptance Rates

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

Login options

Full Access

View options

PDF

eReader

Share

Share this Publication link

Share on social media

Affiliations