Descripción
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Unfortunately, news regarding tragedies involving crowd evacuations are becoming more and more common. Understanding disasters and crowd emergency evacuation behaviour is essential to define effective evacuation protocols. This paper proposes an agent-based model of egress behaviour consisting of three complementary models: (i) model of people moving in a building in normal circumstances, (ii) policies of egress evacuation, and (iii) social models for integrating models (e.g. affiliation) that explain the social behaviour and help in mass evacuations. The proposed egress model has been evaluated in a university building and the results show how these models can help to better understand egress behaviour and apply this knowledge for improving the design and execution evacuation plans. | |
Internacional
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Si |
Nombre congreso
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16th International Conference on Distributed Computing and Artificial Intelligence |
Tipo de participación
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960 |
Lugar del congreso
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Avila |
Revisores
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Si |
ISBN o ISSN
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978-3-319-99607-3 |
DOI
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10.1007/97 |
Fecha inicio congreso
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20/06/2018 |
Fecha fin congreso
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22/06/2018 |
Desde la página
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140 |
Hasta la página
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148 |
Título de las actas
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Distributed Computing and Artificial Intelligence, Special Sessions, 15th International Conference |