Abstract
Adaptive evacuation model and optimization model based on social forces provide a better evacuation plan for large crowded buildings to achieve evacuation in the shortest time possible. In particular, the model can adjust the evacuation plan according to the real-time evacuation information. In the original social mechanics model, the visual scope is taken as a new independent variable, and a comprehensive model of multi-export group evacuation is constructed. In the case of the visitor evacuation at the Louvre Museum, pathfinders are used to simulate the evacuation of crowds from the Louvre’s four main exits. The simulation results show that the evacuation behavior of the population is affected by the number of pedestrians. The more people there are, the longer the evacuated crowd will be. This also validates the rationality of the model.
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Acknowledgements
This work was supported by MOE academia-industry-cooperation program no. 201802070082 and AFCEC program no. 2019-AFCEC-355.
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Liu, B., Guan, X. (2020). Evacuation Model in Large Complex Buildings. In: Xu, Z., Parizi, R., Hammoudeh, M., Loyola-González, O. (eds) Cyber Security Intelligence and Analytics. CSIA 2020. Advances in Intelligent Systems and Computing, vol 1147. Springer, Cham. https://doi.org/10.1007/978-3-030-43309-3_16
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DOI: https://doi.org/10.1007/978-3-030-43309-3_16
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