Abstract
This work employs an agent-based approach to model indoor post-earthquake evacuations. The model incorporates heterogeneous agents with a dynamic physical indoor environment that is damaged by the earthquake. To realistically recreate the decision making process of building occupants, we use a dual-graph model which combines a navigation mesh to support agents’ physical movement and a perception graph to model cognition of the agents.
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CITATION STYLE
Ni, L., Gonzalez, V., Liu, J., Rahouti, A., Zhang, L., & Taing, B. P. (2018). An agent-based approach to simulate post-earthquake indoor crowd evacuation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11224 LNAI, pp. 568–575). Springer Verlag. https://doi.org/10.1007/978-3-030-03098-8_43
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