Humanitarian Logistics and Cultural Diversity within Crowd Simulation



Título del documento: Humanitarian Logistics and Cultural Diversity within Crowd Simulation
Revue: Computación y sistemas
Base de datos: PERIÓDICA
Número de sistema: 000410662
ISSN: 1405-5546
Autores: 1
2
3
2
2
4
Instituciones: 1Universidad Autónoma de Ciudad Juárez, Ciudad Juárez, Chihuahua. México
2Centro de Supercómputo de Barcelona, Barcelona. España
3Centre National de la Recherche Scientifique, París. Francia
4Universidad de las Américas, Cholula, Puebla. México
Año:
Periodo: Ene-Mar
Volumen: 21
Número: 1
Paginación: 7-21
País: México
Idioma: Inglés
Tipo de documento: Artículo
Enfoque: Aplicado, descriptivo
Resumen en inglés Human stampedes occur frequently because of abnormal events (e.g., a fire or explosion) produced in collective events (e.g., religious pilgrimages, music concerts and sportive events). These events provoke panic and when people are agglomerated they try to escape pushing each other without realizing that others are being crushed. Since crowds can consist of individuals with diverse physical and social characteristics determined by cultural diversity, it is difficult to configure the space in advance and find solutions in real-time to save people and reduce catastrophe. This paper proposes an approach to explore the impact of anthropometry and cultural diversity in the behaviour of crowds in panic situations. Our approach includes techniques for reproducing and simulating the behaviour of the crowd to generate models that can help decision making to control such situations. The main contribution of our work is to use computational science, data processing and visualization techniques to perform our simulation and study, for eventually supporting critical decision making
Disciplinas: Ciencias de la computación
Palabras clave: Programación,
Programas de simulación,
Control de desastres,
Manejo eficiente de datos,
Estampidas,
Simulación de multitudes,
Sistemas multiagente
Keyword: Computer science,
Programming,
Simmulation programs,
Disaster control,
Efficient data management,
Stampedes,
Crowd simulation,
Multi-agent systems
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