Crowd simulation for dynamic environments based on information spreading and agentsÔÇÖ personal interests

Konrad Jablonski; Vasileios Argyriou; Darrel Greenhill

doi:10.1016/j.trpro.2014.09.046

Crowd simulation for dynamic environments based on information spreading and agentsÔÇÖ personal interests

Kingston University

Research output: Contribution to conference › Paper › peer-review

Abstract

In this work a novel crowd simulation framework that incorporates information of the dynamic environment is introduced. It supports knowledge spreading and allows the simulated agents to behave according to their personal needs that are affected by the surroundings. Each agent has their own personal interests and needs, which affects its goals and interactions with the environment. Genetic algorithms are used to simulate the dynamic behaviour of the environment and the knowledge spreading. As a result more accurate and realistic simulations are obtained improving a wide range of industrial and research applications that require accurate crowd simulation and modelling.

Original language	English
DOIs	https://doi.org/10.1016/j.trpro.2014.09.046
Publication status	Published - 2014
Event	The Conference on Pedestrian and Evacuation Dynamics 2014 (PED 2014) - Delft, The Netherlands Duration: 22 Oct 2014 → 24 Oct 2014

Conference

Conference	The Conference on Pedestrian and Evacuation Dynamics 2014 (PED 2014)
Period	22/10/14 → 24/10/14

Bibliographical note

Note: KH 30/11/2017

Keywords

Computer science and informatics
crowd simulation
dynamic environment
genetic algorithm
pedestrian behaviour simulation

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10.1016/j.trpro.2014.09.046

1-s2Other version, 2.67 MBLicence: Unspecified

http://dx.doi.org/10.1016/j.trpro.2014.09.046

Cite this

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title = "Crowd simulation for dynamic environments based on information spreading and agents{\^O}{\c C}{\"O} personal interests",

abstract = "In this work a novel crowd simulation framework that incorporates information of the dynamic environment is introduced. It supports knowledge spreading and allows the simulated agents to behave according to their personal needs that are affected by the surroundings. Each agent has their own personal interests and needs, which affects its goals and interactions with the environment. Genetic algorithms are used to simulate the dynamic behaviour of the environment and the knowledge spreading. As a result more accurate and realistic simulations are obtained improving a wide range of industrial and research applications that require accurate crowd simulation and modelling.",

keywords = "Computer science and informatics, crowd simulation, dynamic environment, genetic algorithm, pedestrian behaviour simulation",

author = "Konrad Jablonski and Vasileios Argyriou and Darrel Greenhill",

note = "Note: KH 30/11/2017; The Conference on Pedestrian and Evacuation Dynamics 2014 (PED 2014) ; Conference date: 22-10-2014 Through 24-10-2014",

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doi = "10.1016/j.trpro.2014.09.046",

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TY - CONF

T1 - Crowd simulation for dynamic environments based on information spreading and agentsÔÇÖ personal interests

AU - Jablonski, Konrad

AU - Argyriou, Vasileios

AU - Greenhill, Darrel

N1 - Note: KH 30/11/2017

PY - 2014

Y1 - 2014

N2 - In this work a novel crowd simulation framework that incorporates information of the dynamic environment is introduced. It supports knowledge spreading and allows the simulated agents to behave according to their personal needs that are affected by the surroundings. Each agent has their own personal interests and needs, which affects its goals and interactions with the environment. Genetic algorithms are used to simulate the dynamic behaviour of the environment and the knowledge spreading. As a result more accurate and realistic simulations are obtained improving a wide range of industrial and research applications that require accurate crowd simulation and modelling.

AB - In this work a novel crowd simulation framework that incorporates information of the dynamic environment is introduced. It supports knowledge spreading and allows the simulated agents to behave according to their personal needs that are affected by the surroundings. Each agent has their own personal interests and needs, which affects its goals and interactions with the environment. Genetic algorithms are used to simulate the dynamic behaviour of the environment and the knowledge spreading. As a result more accurate and realistic simulations are obtained improving a wide range of industrial and research applications that require accurate crowd simulation and modelling.

KW - Computer science and informatics

KW - crowd simulation

KW - dynamic environment

KW - genetic algorithm

KW - pedestrian behaviour simulation

U2 - 10.1016/j.trpro.2014.09.046

DO - 10.1016/j.trpro.2014.09.046

M3 - Paper

T2 - The Conference on Pedestrian and Evacuation Dynamics 2014 (PED 2014)

Y2 - 22 October 2014 through 24 October 2014

ER -

Crowd simulation for dynamic environments based on information spreading and agentsÔÇÖ personal interests

Abstract

Conference

Bibliographical note

Keywords

Access to Document

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Cite this