Article

An agent-based simulation of pedestrian dynamics: from lane formation to auditorium evacuation

Authors:

Marcelo C. Toyama,

Ana L. C. Bazzan,

Roberto da SilvaAuthors Info & Claims

AAMAS '06: Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems

Pages 108 - 110

https://doi.org/10.1145/1160633.1160647

Published: 08 May 2006 Publication History

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Abstract

In this paper we present an agent-based simulation of pedestrian dynamics based on cellular automata models. Differently from the cellular automata, our model represents different pedestrian characteristics: gender, speed, room geometry knowledge, and herding and obstacle avoidance behavior. We study how different room geometries, different pedestrian groups sizes and characteristics influence the pedestrian dynamics and the macroscopic behavior of the system. With this agent-based approach we expect to obtain more realistic results than the cases where the pedestrians are uniformly modeled. Our analysis indicates that pedestrian groups with different features contribute in different ways to the macroscopic behavior.

References

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J. L. Adler and V. J. Blue. Cellular automata model of emergent collective bi-directional pedestrian dynamics. In J. S. McCaskill, N. H. Packard, and S. Rasmussen, editors, Artificial Life VII, volume VII, pages 437--445. MIT Press, 2000.

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D. Helbing and P. Molnár. Social force model for pedestrian dynamics. Phys. Rev. E, 51(5):4282--4286, 1995.

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A. Kirchner and A. Schadschneider. Simulation of evacuation processes using a bionics-inspired cellular automaton model for pedestrian dynamics. Physica A: Statistical Mechanics and its Applications, 312:260--276, September 2002.

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T. Osaragi. Modeling of pedestrian behavior and its applications to spatial evaluation. In N. Jennings, C. Sierra, L. Sonenberg, and M. Tambe, editors, International Joint Conference on Autonomous Agents and Multiagent Systems, pages 836--843, 2004.

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[5]

M. Schreckenberg and S. D. Sharma. Pedestrian and Evacuation Dynamics. Springer-Verlag New York, Germany, 2002.

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Attrapadung NIsayama KSadakane KTozawa KLuo BLiao XXu JKirda ELie D(2024)Secure Parallel Computation with Oblivious State TransitionsProceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security10.1145/3658644.3690315(3008-3022)Online publication date: 2-Dec-2024
https://dl.acm.org/doi/10.1145/3658644.3690315
Abdallah WKanzari DMadani K(2023)Agent Architecture for Evacuation Pedestrian’s Crowded Public Places: Combination of Individual and Collaborative Reasoning2023 IEEE International Conference on Advances in Data-Driven Analytics And Intelligent Systems (ADACIS)10.1109/ADACIS59737.2023.10424052(1-7)Online publication date: 23-Nov-2023
https://doi.org/10.1109/ADACIS59737.2023.10424052
Sobhana KChoubey NVerma A(2023)Modelling and simulating the leader–follower behaviour of pedestrians in unidirectional flowPhysica A: Statistical Mechanics and its Applications10.1016/j.physa.2023.128824623(128824)Online publication date: Aug-2023
https://doi.org/10.1016/j.physa.2023.128824
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Index Terms

An agent-based simulation of pedestrian dynamics: from lane formation to auditorium evacuation
1. Computing methodologies
  1. Artificial intelligence
    1. Distributed artificial intelligence
      1. Intelligent agents
      2. Multi-agent systems

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Published In

AAMAS '06: Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems

May 2006

1631 pages

ISBN:1595933034

DOI:10.1145/1160633

General Chairs:
Hideyuki Nakashima
Future University - Hakodate, Japan
,
Michael Wellman
University of Michigan
,
Program Chairs:
Gerhard Weiss
Technical University Munich, Germany
,
Peter Stone
The University of Texas at Austin

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: 08 May 2006

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AAMAS06: AAMAS '06 - 5th International Joint Conference on Autonomous Agents and Multi-agent Systems 2006

May 8 - 12, 2006

Japan, Hakodate

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Attrapadung NIsayama KSadakane KTozawa KLuo BLiao XXu JKirda ELie D(2024)Secure Parallel Computation with Oblivious State TransitionsProceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security10.1145/3658644.3690315(3008-3022)Online publication date: 2-Dec-2024
https://dl.acm.org/doi/10.1145/3658644.3690315
Abdallah WKanzari DMadani K(2023)Agent Architecture for Evacuation Pedestrian’s Crowded Public Places: Combination of Individual and Collaborative Reasoning2023 IEEE International Conference on Advances in Data-Driven Analytics And Intelligent Systems (ADACIS)10.1109/ADACIS59737.2023.10424052(1-7)Online publication date: 23-Nov-2023
https://doi.org/10.1109/ADACIS59737.2023.10424052
Sobhana KChoubey NVerma A(2023)Modelling and simulating the leader–follower behaviour of pedestrians in unidirectional flowPhysica A: Statistical Mechanics and its Applications10.1016/j.physa.2023.128824623(128824)Online publication date: Aug-2023
https://doi.org/10.1016/j.physa.2023.128824
NIE LJIAO FYANG TLIU Z(2022)RESEARCH ON AGENT AND CELLULAR AUTOMATA SIMULATION OF THE HERD EFFECTINMATEH Agricultural Engineering10.35633/inmateh-68-80(809-816)Online publication date: 31-Dec-2022
https://doi.org/10.35633/inmateh-68-80
Chen XWang J(2022)An Entropy-Based Combined Behavior Model for Crowd EvacuationEntropy10.3390/e2410147924:10(1479)Online publication date: 17-Oct-2022
https://doi.org/10.3390/e24101479
Liu YMao Z(2022)An experimental study on the critical state of herd behavior in decision-making of the crowd evacuationPhysica A: Statistical Mechanics and its Applications10.1016/j.physa.2022.127087595(127087)Online publication date: Jun-2022
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Guo YSong YChen W(2021)Evolutionary Game of Emergency Evacuation After an Earthquake at a University: How to Promote Orderly EvacuationIEEE Access10.1109/ACCESS.2020.30466189(2516-2534)Online publication date: 2021
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Sharbini HSallehuddin RHaron H(2021)Crowd evacuation simulation model with soft computing optimization techniques: a systematic literature reviewJournal of Management Analytics10.1080/23270012.2021.1881924(1-43)Online publication date: 29-Mar-2021
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Soltanzadeh AMazaherian HHeidary S(2021)Optimal Solutions to Vertical Access Placement Design in Residential High-Rise Buildings Based on Human BehaviorJournal of Building Engineering10.1016/j.jobe.2021.102856(102856)Online publication date: Jun-2021
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Chen FZhao QCao MChen JFu G(2021)Adaptive Agent-Based Modeling Framework for Collective Decision-Making in Crowd Building EvacuationJournal of Shanghai Jiaotong University (Science)10.1007/s12204-021-2287-3Online publication date: 31-Mar-2021
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Integrating BDI Agents with Agent-Based Simulation Platforms

Large-Scale Agent-Based Pedestrian Simulation

Pedestrian and crowd dynamics simulation: testing SCA on paradigmatic cases of emerging coordination in negative interaction conditions

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