The University of Southampton
University of Southampton Institutional Repository

Agent perception modeling for movement in crowds

Agent perception modeling for movement in crowds
Agent perception modeling for movement in crowds

This paper explores the integration of a perception map to an agent based model simulated on a realistic physical space. Each agent's perception map stores density information about the physical space which is used for routing. The scenario considered is the evacuation of a space given a crowd. Through agent interactions, both in physical proximity and through distant communications, agents update their perception maps and continuously work to overcome their incomplete perception of the world. Overall, this work aims at investigating the dynamics of agent information diffusion for emergency scenarios and combines three general elements: (1) an agent-based simulation of crowd dynamics in an emergency scenario over a real physical space, (2) a sophisticated decision making process driven by the agent's subjective view of the world and effected by trust, belief and confidence, and (3) agent's activity aimed at building relationships with specific peers that is based on mutual benefit from sharing information.

0302-9743
73-84
Springer
Farrahi, Katayoun
bc848b9c-fc32-475c-b241-f6ade8babacb
Zia, Kashif
d79cc3b9-7062-4ffc-8d62-626a677d1e35
Sharpanskykh, Alexei
55fc0e9d-3c1f-4522-8f30-d0c2468c828b
Ferscha, Alois
b8b048c0-8980-4519-8001-280074f0e7bd
Muchnik, Lev
150ffcc7-43bd-4aa0-a7f0-fdba3fd1e19e
Farrahi, Katayoun
bc848b9c-fc32-475c-b241-f6ade8babacb
Zia, Kashif
d79cc3b9-7062-4ffc-8d62-626a677d1e35
Sharpanskykh, Alexei
55fc0e9d-3c1f-4522-8f30-d0c2468c828b
Ferscha, Alois
b8b048c0-8980-4519-8001-280074f0e7bd
Muchnik, Lev
150ffcc7-43bd-4aa0-a7f0-fdba3fd1e19e

Farrahi, Katayoun, Zia, Kashif, Sharpanskykh, Alexei, Ferscha, Alois and Muchnik, Lev (2013) Agent perception modeling for movement in crowds. In Advances on Practical Applications of Agents and Multi-Agent Systems - 11th International Conference, PAAMS 2013, Proceedings. vol. 7879 LNAI, Springer. pp. 73-84 . (doi:10.1007/978-3-642-38073-0_7).

Record type: Conference or Workshop Item (Paper)

Abstract

This paper explores the integration of a perception map to an agent based model simulated on a realistic physical space. Each agent's perception map stores density information about the physical space which is used for routing. The scenario considered is the evacuation of a space given a crowd. Through agent interactions, both in physical proximity and through distant communications, agents update their perception maps and continuously work to overcome their incomplete perception of the world. Overall, this work aims at investigating the dynamics of agent information diffusion for emergency scenarios and combines three general elements: (1) an agent-based simulation of crowd dynamics in an emergency scenario over a real physical space, (2) a sophisticated decision making process driven by the agent's subjective view of the world and effected by trust, belief and confidence, and (3) agent's activity aimed at building relationships with specific peers that is based on mutual benefit from sharing information.

This record has no associated files available for download.

More information

Published date: 2013
Venue - Dates: 11th International Conference on Practical Applications of Agents and Multi-Agent Systems, PAAMS 2013, , Salamanca, Spain, 2013-05-22 - 2013-05-24

Identifiers

Local EPrints ID: 470087
URI: http://eprints.soton.ac.uk/id/eprint/470087
ISSN: 0302-9743
PURE UUID: 0c73dfb9-b029-4835-848b-f510193e615a
ORCID for Katayoun Farrahi: ORCID iD orcid.org/0000-0001-6775-127X

Catalogue record

Date deposited: 03 Oct 2022 16:40
Last modified: 17 Mar 2024 03:47

Export record

Altmetrics

Contributors

Author: Katayoun Farrahi ORCID iD
Author: Kashif Zia
Author: Alexei Sharpanskykh
Author: Alois Ferscha
Author: Lev Muchnik

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×