research-article

A framework for execution and 3D visualization of situated cellular agent based crowd simulations

Authors:

Giuseppe Vizzari,

Giorgio Pizzi,

Flávio Soares Corrêa da SilvaAuthors Info & Claims

SAC '08: Proceedings of the 2008 ACM symposium on Applied computing

Pages 18 - 22

https://doi.org/10.1145/1363686.1363692

Published: 16 March 2008 Publication History

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Abstract

This paper presents a framework supporting the definition and implementation of crowd simulation systems based on interacting situated agents. The framework supports the specification and execution of visually rich 3D virtual environment endowed by the presence of mobile agents acting and interacting inside it according to a multi-agent model that also supports the definition of agents' environment and its relevant elements. The paper introduces the multi-agent model underlying the framework and its basic architecture. Sample applications are also described so as to show the potential of the framework in executing models comprising several hundreds of agents producing an effective visualization of the generated dynamics.

References

[1]

S. Bandini, S. Manzoni, C. Simone. Heterogeneous Agents Situated in Heterogeneous Spaces. Applied Artificial Intelligence, 16(9--10):831--852, 2002.

Google Scholar

[2]

S. Bandini, M. L. Federici, S. Manzoni, G. Vizzari. Towards a methodology for SCA based crowd simulations. In: VI International Workshop Engineering Societies in the Agents' World, vol. 3963 of LNAI, Springer-Verlag, pp. 203--220, 2006.

Digital Library

Google Scholar

[3]

S. Bandini, S. Manzoni, G. Vizzari. Situated Cellular Agents: a Model to Simulate Crowding Dynamics. IEICE - Transactions on Information and Systems, Vol. E87-D(3):669--676, 2004.

Google Scholar

[4]

S. Bandini, S. Manzoni, G. Vizzari. Towards a platform for Multilayered Multi Agent Situated System based simulations: focusing on field diffusion. Applied Artificial Intelligence, Taylor & Francis, 20(4--5):327--351, 2006.

Google Scholar

[5]

S. Bandini, G. Vizzari. Regulation Function of the Environment in Agent-Based Simulation. Environments for Multi-Agent Systems III, Third Int. Workshop, E4MAS 2006, vol. 4389 of LNCS, Springer-Verlag, pp. 157--169, 2007.

Digital Library

Google Scholar

[6]

M. Batty. Agent-based pedestrian modeling (editorial). Environment and Planning B, 28(3):321--326, 2001.

Crossref

Google Scholar

[7]

J. Dijkstra, H. P. J. Timmermans. Towards a multi-agent model for visualizing simulated user behavior to support the assessment of design performance. Automation in Construction 11:135--145, Elsevier, 2002.

Crossref

Google Scholar

[8]

J. Dijkstra, J. Van Leeuwen, H. J. P. Timmermans. Evaluating Design Alternatives Using Conjoint Experiments in Virtual Reality. Environment and Planning B 30(3):357--367, 2003.

Crossref

Google Scholar

[9]

D. Helbing, I. J. Farkas, P. Molnár, T. Vicsek. Simulation of Pedestrian Crowds in Normal and Evacuation Situations. In Pedestrian and Evacuation Dynamics, pages 21--58, Springer, 2002.

Google Scholar

[10]

T. Ishida, Y. Nakajima, Y. Murakami, H. Nakanishi. Augmented Experiment: Participatory Design with Multiagent Simulation. IJCAI 2007, Proc. of the 20th Int. Joint Conf. on Artificial Intelligence, pp. 1341--1346, 2007.

Digital Library

Google Scholar

[11]

A. Schadschneider, A. Kirchner, and K. Nishinari. CA Approach to Collective Phenomena in Pedestrian Dynamics. In 5th Int. Conf. on Cellular Automata for Research and Industry, ACRI 2002, vol. 2493 of LNCS, 239--248, Springer-Verlag, 2002.

Digital Library

Google Scholar

[12]

A. Willis, N. Gjersoe, C. Havard, J. Kerridge, R. Kukla. Human movement behaviour in urban spaces: implications for the design and modelling of effective pedestrian environments. Environment and Planning B, volume 31(6), pages 805--828, 2004

Crossref

Google Scholar

Cited By

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Yanagisawa DSuma YTomoeda AMiura AOhtsuka KNishinari K(2013)Walking-distance introduced queueing model for pedestrian queueing system: Theoretical analysis and experimental verificationTransportation Research Part C: Emerging Technologies10.1016/j.trc.2013.04.00837(238-259)Online publication date: Dec-2013
https://doi.org/10.1016/j.trc.2013.04.008
Suma YYanagisawa DNishinari K(2012)Anticipation effect in pedestrian dynamics: Modeling and experimentsPhysica A: Statistical Mechanics and its Applications10.1016/j.physa.2011.07.022391:1-2(248-263)Online publication date: Jan-2012
https://doi.org/10.1016/j.physa.2011.07.022
Louloudi AKlügl F(2012)Visualisation on demand for agent-based simulationProceedings of the First international conference on Cognitive Agents for Virtual Environments10.1007/978-3-642-36444-0_7(106-119)Online publication date: 4-Jun-2012
https://dl.acm.org/doi/10.1007/978-3-642-36444-0_7
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Index Terms

A framework for execution and 3D visualization of situated cellular agent based crowd simulations
1. Computing methodologies
  1. Artificial intelligence
    1. Distributed artificial intelligence
  2. Modeling and simulation

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Published In

SAC '08: Proceedings of the 2008 ACM symposium on Applied computing

March 2008

2586 pages

ISBN:9781595937537

DOI:10.1145/1363686

Conference Chairs:
Roger L. Wainwright
University of Tulsa
,
Hisham M. Haddad
Kennesaw State University

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 16 March 2008

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SAC '08: The 2008 ACM Symposium on Applied Computing

March 16 - 20, 2008

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Overall Acceptance Rate 1,650 of 6,669 submissions, 25%

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Yanagisawa DSuma YTomoeda AMiura AOhtsuka KNishinari K(2013)Walking-distance introduced queueing model for pedestrian queueing system: Theoretical analysis and experimental verificationTransportation Research Part C: Emerging Technologies10.1016/j.trc.2013.04.00837(238-259)Online publication date: Dec-2013
https://doi.org/10.1016/j.trc.2013.04.008
Suma YYanagisawa DNishinari K(2012)Anticipation effect in pedestrian dynamics: Modeling and experimentsPhysica A: Statistical Mechanics and its Applications10.1016/j.physa.2011.07.022391:1-2(248-263)Online publication date: Jan-2012
https://doi.org/10.1016/j.physa.2011.07.022
Louloudi AKlügl F(2012)Visualisation on demand for agent-based simulationProceedings of the First international conference on Cognitive Agents for Virtual Environments10.1007/978-3-642-36444-0_7(106-119)Online publication date: 4-Jun-2012
https://dl.acm.org/doi/10.1007/978-3-642-36444-0_7
García ERodríguez SMartín BZato CPérez B(2011)MISIA: Middleware Infrastructure to Simulate Intelligent AgentsInternational Symposium on Distributed Computing and Artificial Intelligence10.1007/978-3-642-19934-9_14(107-116)Online publication date: 2011
https://doi.org/10.1007/978-3-642-19934-9_14
Vizzari GOlivieri F(2009)Towards Hybrid Situated Agents Based Virtual EnvironmentsProceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 0310.1109/WI-IAT.2009.356(587-590)Online publication date: 15-Sep-2009
https://dl.acm.org/doi/10.1109/WI-IAT.2009.356

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A Formal Model for Situated Multi-Agent Systems

A Formal Model for Situated Multi-Agent Systems

Effective Distribution of Large Scale Situated Agent-based Simulations

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