Abstract
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.
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Acknowledgements
This work is supported by the Spanish Ministry of Economy and Competitiveness under the R&D projects SEMOLA, EmoSpaces (RTC-2016-5053-7) and ITEA3 Citisim (ITEA3 15018, funded by CDTI), by the Regional Government of Madrid through the project MOSI-AGIL-CM (grant P2013/ICE-3019, co-funded by EU Structural Funds FSE and FEDER); and by the Ministry of Education, Culture and Sport through the mobility research stay grant PRX16/00515.
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Carrera, Á., Merino, E., Aznar, P., Fernández, G., Iglesias, C.A. (2019). An Agent-Based Simulation Model for Emergency Egress. In: Rodríguez, S., et al. Distributed Computing and Artificial Intelligence, Special Sessions, 15th International Conference. DCAI 2018. Advances in Intelligent Systems and Computing, vol 801. Springer, Cham. https://doi.org/10.1007/978-3-319-99608-0_16
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DOI: https://doi.org/10.1007/978-3-319-99608-0_16
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