Abstract
We developed a method for detecting aggressive agents in egress simulations with a cellular-automata model. There are two types of agents, which are normal agents and aggressive agents. Aggressive agents tend to push out others in conflicts and try to move to their target cell aggressively. We considered all the possible combinations of agent types, labeled them, and computed the joint probabilities of the labels from the conflict data obtained from the egress simulations. The label which achieved the maximum joint probability was regarded as the expected label. The accuracy of our method achieved larger than 95% when a few very aggressive agents exist in a group of normal agents. On the other hand, the accuracy decreases when the aggressiveness of aggressive agents decreases or the fraction of the aggressive agents increases.
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References
Burstedde, C., Klauck, K., Schadschneider, A., Zittartz, J.: Simulation of pedestrian dynamics using a two-dimensional cellular automaton. Phys. A Stat. Mech. Appl. 295(3–4), 507–525 (2001)
Heliövaara, S., Ehtamo, H., Helbing, D., Korhonen, T.: Patient and impatient pedestrians in a spatial game for egress congestion. Phys. Rev. E 87(1), 012802 (2013)
Hrabák, P., Bukáček, M.: Influence of agents heterogeneity in cellular model of evacuation. J. Comput. Sci. 21, 486–493 (2017)
Kirchner, A., Klüpfel, H., Nishinari, K., Schadschneider, A., Schreckenberg, M.: Simulation of competitive egress behavior: comparison with aircraft evacuation data. Phys. A Stat. Mech. Appl. 324(3–4), 689–697 (2003)
Muir, H.C., Bottomley, D.M., Marrison, C.: Effects of motivation and cabin configuration on emergency aircraft evacuation behavior and rates of egress. Int. J. Aviat. Psychol. 6(1), 57–77 (1996)
Von Schantz, A., Ehtamo, H.: Spatial game in cellular automaton evacuation model. Phys. Rev. E 92(October), 1–13 (2015)
Yanagisawa, D., Kimura, A., Tomoeda, A., Nishi, R., Suma, Y., Ohtsuka, K., Nishinari, K.: Introduction of frictional and turning function for pedestrian outflow with an obstacle. Phys. Rev. E 80(3), 036110 (2009)
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Yanagisawa, D., Yamazaki, K. (2019). Detecting Competitive Behaviors in Conflicts. In: Hamdar, S. (eds) Traffic and Granular Flow '17. TGF 2017. Springer, Cham. https://doi.org/10.1007/978-3-030-11440-4_33
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DOI: https://doi.org/10.1007/978-3-030-11440-4_33
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