Abstract
Crowd modeling is an area of study of increasing importance for understanding the dynamics of a crowd in an environment. Evacuation modeling focuses on how humans evacuate these environments as well as the intricacies and outcomes of the evacuation. Previous evacuation models do not take into account how human populations are physically heterogeneous as well as how the presence of wheelchair users affects an evacuation. In order to address the aforementioned open challenges, in this research, we propose a novel model to study the effect of wheelchair users in evacuation modeling. Our model is developed as an agent-based panic model and is built using the Unity gaming platform and includes speed, mass, and radius as the agent attributes. From the agent-based panic model, it was observed that larger wheelchair populations increased evacuation times while a larger number of and width of doorways decreased the evacuation times. Of the agent attributes in the panic model, speed had a negative correlation while mass and radius both had positive correlations with evacuation time. The findings from this study suggest that future crowd models may benefit in accuracy by using heterogeneous populations.
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Notes
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References
1800wheelchair. https://1800Wheelchair.com. Accessed 08 May 2022
Unity. https://unity.com/. Accessed 08 May 2022
Bellomo, N., Clarke, D., Gibelli, L., Townsend, P., Vreugdenhil, B.: Human behaviours in evacuation crowd dynamics: from modelling to “big data’’ toward crisis management. Phy. Life Rev. 18, 1–21 (2016)
Duives, D.C., Daamen, W., Hoogendoorn, S.P.: State-of-the-art crowd motion simulation models. Transp. Res. Part C: Emerg. Technol. 37, 193–209 (2013) https://doi.org/10.1016/j.trc.2013.02.005, www.sciencedirect.com/science/article/pii/S0968090X13000351
Emig, T., Peltonen, J.: Human running performance from real-world big data. Nat. Commun. 11(1), 1–9 (2020)
Fryar, C.D., Gu, Q., Ogden, C.L.: Anthropometric reference data for children and adults: United states, 2007–2010. Vital and health statistics. Series 11, Data from the National Health Survey 252, 1–48 (2012)
Gaud, N., Galland, S., Gechter, F., Hilaire, V., Koukam, A.: Holonic multilevel simulation of complex systems: application to real-time pedestrians simulation in virtual urban environment. Simul. Model. Pract. Theory 16, 1659–1676 (2008). https://doi.org/10.1016/j.simpat.2008.08.015
Gayathri, H., Aparna, P., Verma, A.: A review of studies on understanding crowd dynamics in the context of crowd safety in mass religious gatherings. Int. J. Disaster Risk Reduction 25, 82–91 (2017)
Geoerg, P., Schumann, J., Holl, S., Boltes, M., Hofmann, A.: The influence of individual impairments in crowd dynamics. Fire Mater. 45(4), 529–542 (2019)
Geoerg, P., Schumann, J., Holl, S., Hofmann, A.: The influence of wheelchair users on movement in a bottleneck and a corridor. Journal of Advanced Transportation 2019 (2019)
Goldstone, R.L., Janssen, M.A.: Computational models of collective behavior. Trends Cogn. Sci. 9(9), 424–430 (2005). https://doi.org/10.1016/j.tics.2005.07.009, https://www.sciencedirect.com/science/article/abs/pii/S1364661305002147
Helbing, D., Buzna, L., Johansson, A., Werner, T.: Self-organized pedestrian crowd dynamics: experiments, simulations, and design solutions. Transp. Sci. 39(1), 1–24 (2005). https://doi.org/10.1287/trsc.1040.0108, https://pubsonline.informs.org/doi/abs/10.1287/trsc.1040.0108
Helbing, D., Farkas, I., Vicsek, T.: Simulating dynamical features of escape panic. Nature 407(6803), 487–490 (2000)
Helbing, D., Johansson, A.: Pedestrian, crowd and evacuation dynamics. In: Encyclopedia of Complexity and Systems Science (2009)
Kountouriotis, V., Thomopoulos, S.C., Papelis, Y.: An agent-based crowd behaviour model for real time crowd behaviour simulation. Pattern Recogn. Lett. 44, 30–38 (2014)
Papadimitriou, E., Yannis, G., Golias, J.: A critical assessment of pedestrian behaviour models. Transp. Res. Part F: Traffic Psychol. Behav. 12(3), 242–255 (2009). https://doi.org/10.1016/j.trf.2008.12.004, https://www.sciencedirect.com/science/article/abs/pii/S1369847808001046
Shi, X., Ye, Z., Shiwakoti, N., Tang, D., Wang, C., Wang, W.: Empirical investigation on safety constraints of merging pedestrian crowd through macroscopic and microscopic analysis. Accid. Anal. Prev. 95, 405–416 (2016)
Spector, R.H.: Visual fields (1990). https://www.ncbi.nlm.nih.gov/books/NBK220
Vermuyten, H., Beliën, J., De Boeck, L., Reniers, G., Wauters, T.: A review of optimisation models for pedestrian evacuation and design problems. Saf. Sci. 87, 167–178 (2016)
Zheng, X., Zhong, T., Liu, M.: Modeling crowd evacuation of a building based on seven methodological approaches. Build. Environ. 44(3), 437–445 (2009)
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Hata, J., Yu, H., Raychoudhury, V., Saha, S., Tran Quang, H. (2022). Study of Heterogeneous User Behavior in Crowd Evacuation in Presence of Wheelchair Users. In: Dignum, F., Mathieu, P., Corchado, J.M., De La Prieta, F. (eds) Advances in Practical Applications of Agents, Multi-Agent Systems, and Complex Systems Simulation. The PAAMS Collection. PAAMS 2022. Lecture Notes in Computer Science(), vol 13616. Springer, Cham. https://doi.org/10.1007/978-3-031-18192-4_19
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