Observatorio de I+D+i UPM

Descripción
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	Si
Nombre congreso	16th International Conference on Distributed Computing and Artificial Intelligence
Tipo de participación	960
Lugar del congreso	Avila
Revisores	Si
ISBN o ISSN	978-3-319-99607-3
DOI	10.1007/97
Fecha inicio congreso	20/06/2018
Fecha fin congreso	22/06/2018
Desde la página	140
Hasta la página	148
Título de las actas	Distributed Computing and Artificial Intelligence, Special Sessions, 15th International Conference

Esta actividad pertenece a memorias de investigación

• Autor: Alvaro Carrera Barroso (UPM)
• Autor: Eduardo Merino Machuca (UPM)
• Autor: Pablo Aznar (UPM)
• Autor: Guillermo Fernández (UPM)
• Autor: Carlos Angel Iglesias Fernandez (UPM)

• Creador: Grupo de Investigación: Grupo de Sistemas Inteligentes
• Departamento: Ingeniería de Sistemas Telemáticos