Menu
Publications
2024
2023
2022
2021
2020
2019
2018
2017
2016
2015
2014
2013
2012
2011
2010
2009
2008
2007
2006
2005
2004
2003
2002
2001
Editor-in-Chief
Nikiforov
Vladimir O.
D.Sc., Prof.
Partners
doi: 10.17586/2226-1494-2019-19-6-1130-1138
SIMULATION OF UNORGANIZED GROUP BEHAVIOR IN CASE OF EMERGENCY
Read the full article
';
Article in Russian
For citation:
Abstract
For citation:
Viksnin I.I., Lyakhovenko J.A., Tursukov N.O. Simulation of unorganized group behavior in case of emergency. Scientific and Technical Journal of Information Technologies, Mechanics and Optics, 2019, vol. 19, no. 6, pp. 1130–1138 (in Russian). doi: 10.17586/2226-1494-2019-19-6-1130-1138
Abstract
Subject of Research. The paper presents an advanced model and experimental study results considering an unorganized group behavior in case of emergency. An approach to simulation of human behavior is based on the Dirk Helbing and Peter Molnar model of social forces (Social force model). Such model takes into account the informational impact on the individual behavior of group agents. The developed model is adapted for crowd behavior description in emergency situations. Method. The essence of the proposed model of behavior lies in the idea that at every instant the agent solves the problem of finding the optimal transition direction from a current location to some safer place. The implementation of AnyLogic simulation tool is proposed as a software platform for the simulator with the built-in Pedestrian library, which gives the possibility to build models with a large amount of information about pedestrian movements (traffic). The tool used has a graphical interface, provides a description of the interaction between agents within the group and the possibility for the Java programming language application. Main Results. The proposed model is implemented in the form of a simulator using open information about the fire in the Lame Horse Club (December 5, 2009) in the city of Perm. Comparison of information about a real fire with the simulation results by the proposed method is performed, as well as according to the existing method of group behavior in a multi-level branched room, and by the method of moving agents along the shortest path. It is shown that the results obtained by the proposed model most closely match the real results. Practical Relevance. The presented model of an unorganized group behavior makes it possible
Keywords: multi-agent systems, simulation, poorly organized groups, emergency simulation, social forces model
References
References
- Helbing D., Molnar P. Social force model for pedestrian dynamics. Institute of Theoretical Physics, University of Stuttgart, 70550 Stuttgart, Germany. Available at: http://arxiv.org/pdf/cond-mat/9805244.pdf (accessed: 10.05.2018).
- Pan X., Han C.S., Dauber K., Law K.H. A Multi-agent based framework for the simulation of human and social behaviors during emergency evacuations. Available at: https://link.springer.com/article/10.1007/s00146-007-0126-1 (accessed: 08.06.2018). doi: 10.1007/s00146-007-0126-1
- Mehran R., Oyama A., Shah M. Abnormal crowd behavior detection using social force model. Available at: https: //ieeexplore.ieee.org/abstract/document/5206641 (accesed: 18.07.2018). doi: 10.1109/CVPR.2009.5206641
- Johansson A., Helbing D., Shula P.K. Specification of the social force pedestrian model by evolutionary adjustment to video tracking data. Available at:https://www.researchgate.net/publication/220301682_Specification_of_the_Social_ Force_Pedestrian_Model_by_Evolutionary_Adjustment_to_Video_Tracking_Data (accessed: 27.09.2018). doi: 10.1142/S0219525907001355
- Fazio R.H. Multiple processes by which attitudes guide behavior: the mode model as an integrative framework. Available at:https://www.sciencedirect.com/science/article/pii/S0065260108603184(accessed: 27.09.2018). doi: 10.1016/S0065-2601(08)60318-4
- Oliver N.M., Rosario B., Pentland A.P. A bayesian computer vision system for modeling human interactions. Available at: https://ieeexplore.ieee.org/document/868684 (accessed: 14.10.2018). doi: 10.1109/34.868684
- Pan X. Computational modeling of human and social behaviors for emergency egress analysis. Available at: https://www.semanticscholar.org/paper/Computational-modeling-of-human-and-social-for-Pan/0749a6d8952da20ff2d17f501da4068b5269b382 (accessed: 14.10.2018).
- Pan X., Han C.S., Dauber K., Law K.H. Human and social behavior in computational modeling and analysis of egress. Available at: https://www.sciencedirect.com/science/article/abs/pii/S0926580505000737 (accessed: 08.11.2018). doi: 10.1016/j.autcon.2005.06.006
- Helbing D., Farkas I.J., Molnar P., Vicsek T. Simulation of pedestrian crowds in normal and evacuation situations. Available at: https://pdfs.semanticscholar.org/6b72/b31c2531b2a910ecbe6baa095b0907a7448a.pdf (accessed: 08.11.2018).
- Pentland A., Liu A. Modeling and prediction of human behavior. Available at: http://www.mit.edu/~amliu/Papers/PentlandLiu_NeuralComp99_v11n2.pdf (accessed: 10.03.2019).
- Pelechano N., Badler N. Modeling crowd and trained leader behavior during building evacuation. Available at: https://www.researchgate.net/publication/3209678_Modeling_Crowd_and_ Trained_Leader_Behavior_during_Building_Evacuation (accessed: 14.04.2019). doi: 10.1109/MCG.2006.133
- Aptukov A.M., Bratsun D.A., Lyushnin A.V. Modeling of behavior of panicked crowd in multi-floor branched space. Available at: http://crm-en.ics.org.ru/uploads/crmissues/crm_2013_3/13313.pdf (accessed: 14.05.2019). (in Russian)
