Abstract
This study presents an alternative mesh system for the floor-field Cellular Automata model which allows reproducing relevant phenomena observed in high density crowds. Sub-mesh positions are created at the edges and at the corners of adjacent cells to increase the mobility in dense crowds. Special rules are introduced to constrain the use of those additional positions and recreate some behavioral features observed in reality. The model was calibrated and validated using empirical data showing good agreement, while similar results could not be obtained using the standard mesh. Finally it was shown that the introduction of the corner sub-mesh position enhances the quality of the results in case of diagonal motion. The model presented here may allow a more accurate investigation of the crowd accidents occurred in the past and prevent a potential re-occurrence in the future.
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Acknowledgments
This work was financially supported by JSPS KAKENHI Grant Number 25287026 and the Doctoral Student Special Incentives Program (SEUT RA) of the University of Tokyo. In addition the authors would like to thank Tokyo Metro Co., Ltd for helping us obtaining the experimental data used for model calibration.
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Feliciani, C., Nishinari, K. (2016). An Enhanced Cellular Automata Sub-mesh Model to Study High-Density Pedestrian Crowds. In: El Yacoubi, S., Wąs, J., Bandini, S. (eds) Cellular Automata. ACRI 2016. Lecture Notes in Computer Science(), vol 9863. Springer, Cham. https://doi.org/10.1007/978-3-319-44365-2_23
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DOI: https://doi.org/10.1007/978-3-319-44365-2_23
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