Proceedings of International Conference on Applied Innovation in IT
2021/04/28, Volume 9, Issue 1, pp.93-100
Development of Physical and Psychological States Graphs of People and Their Software Implementation in the Tasks of Evacuation Modelling
Ekaterina Yurchenko, Irina Shulga, Mikhail Tugarinov, Igor Shelekhov, Stanislav Torgaev Abstract: The purpose of the presented in the article results is to increase the realism of the people evacuation modeling in case of emergency situation. Models that exist today do not describe in detail physical and psychological states of the characters during the simulation. This article presents the results of the development of people physical and psychological states graphs in the conditions of evacuation. All graphs are presented as extended final state machines. On the basis of the developed finite state machines the description of state transitions was carried out and algorithms were built This work was carried out as part of the development of a comprehensive 3D model of the people evacuation processes of in emergency situations in particular fires. A software implementation in the Unreal Engine program of these states was performed. Examples of the behavior of characters in various psychological and physical states are also presented.
Keywords: Evacuation, Fire, Graph, Physical State, Behavior, 3D Modelling, Emergency, Block Programming
DOI: 10.25673/36589
Download: PDF
References:
- D. Helbing, I. Farkas, and T. Vicsek, “Simulating dynamical features of escape panic,” Nature, vol. 407, pp. 487-490, September 2000.
- Y. Niu, Y. Zhang, J. Zhang, and J. Xiao, “Running Cells with Decision-Making Mechanism: Intelligence Decision P System for Evacuation Simulation,” International Journal of Computers, Communications & Control (IJCCC), vol. 13, pp. 865-880, September 2018.
- J. Kou, Sh. Xiong, Zh. Fang, X. Zong, and Zh. Chen, “Multiobjective Optimization of Evacuation Routes in Stadium Using Superposed Potential Field Network Based ACO,” Computational Intelligence and Neuroscience, vol. 2013, pp. 1-11, 2013.
- Y. Wu, J. Kang, and C. Wang, “A crowd route choice evacuation model in large indoor building spaces,” Frontiers of Architectural Research, vol. 7, pp.135- 150, 2018.
- P. Du, Y. Li, H. Liu, and X. Zheng, “Study of the indoor evacuation based on the grouping social force model,” 9th International Conference on Information Technology in Medicine and Education, pp. 1018- 1026, 2018.
- A. Templeton, J. Drury, and A. Philippides, “From Mindless Masses to Small Groups: Conceptualizing Collective Behavior in Crowd Modeling,” General Psychology, vol. 19, pp. 215-229, 2015.
- H. Liu, B. Liu, H. Zhang, L. Li, X. Qin, and G. Zhang, “Crowd evacuation simulation approach based on navigation knowledge and two-layer control mechanism,” Information Sciences, vol. 436-437, pp. 247-267, 2018.
- J. Shi, A. Ren, and C. Chen, “Agent-Based Evacuation Model of Large Public Buildings Under Fire Conditions,” Automation in Construction, vol. 19, pp. 338-347, 2009.
- W. Xin-quan and W. Jian, “A mesoscopic evacuation model based on multi-agent and entropy with leading behavior under fire conditions,” Systems Engineering - Theory & Practice, vol. 35, pp. 2473-2483, December 2014.
- J. Jumadi, A. J. Heppenstall, N. S. Malleson, S. J. Carver, D. J Quincey, and V. R. “Modelling Individual Evacuation Decisions during Natural Disasters: A Case Study of Volcanic Crisis in Merapi, Indonesia,” Geosciences, vol. 8, p. 196, 2018.
- M. A. Tugarinov, I. D. Shulga, E. A. Yurchenko, and A. D. Ermakov, “3D-simulation of emergency evacuation,” Journal of Physics: Conference Series, vol. 1680, pp. 1-8, 2020.
- M. A. Tugarinov, I. D. Shulga, E. A. Yurchenko, and S. N. Torgaev, “Development of elements of a 3D emergency evacuation simulation system,” Journal of Physics: Conference Series, vol. 1680, pp. 1-8, 2020.
- M. L. Gromov and N. V. Shabaldina, “Derivation of the cascade parallel composition of timed finite state machines using BALM-II,” Automatic control and computer sciences, vol. 51, no. 7, pp. 507-515, 2017.
- M. L. Gromov, S. A. Prokopenko, N. V. Shabaldina, and A. V. Laputenko, “Model Based JUnit Testing,” 20th International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, pp. 139-142, 2019.
|
HOME
- Call for Papers
- Paper Submission
- For authors
- Important Dates
- Conference Committee
- Editorial Board
- Reviewers
- Last Proceedings
PROCEEDINGS
-
Volume 12, Issue 1 (ICAIIT 2024)
-
Volume 11, Issue 2 (ICAIIT 2023)
-
Volume 11, Issue 1 (ICAIIT 2023)
-
Volume 10, Issue 1 (ICAIIT 2022)
-
Volume 9, Issue 1 (ICAIIT 2021)
-
Volume 8, Issue 1 (ICAIIT 2020)
-
Volume 7, Issue 1 (ICAIIT 2019)
-
Volume 7, Issue 2 (ICAIIT 2019)
-
Volume 6, Issue 1 (ICAIIT 2018)
-
Volume 5, Issue 1 (ICAIIT 2017)
-
Volume 4, Issue 1 (ICAIIT 2016)
-
Volume 3, Issue 1 (ICAIIT 2015)
-
Volume 2, Issue 1 (ICAIIT 2014)
-
Volume 1, Issue 1 (ICAIIT 2013)
PAST CONFERENCES
ICAIIT 2024
-
Photos
-
Reports
ICAIIT 2023
-
Photos
-
Reports
ICAIIT 2021
-
Photos
-
Reports
ICAIIT 2020
-
Photos
-
Reports
ICAIIT 2019
-
Photos
-
Reports
ICAIIT 2018
-
Photos
-
Reports
ETHICS IN PUBLICATIONS
ACCOMODATION
CONTACT US
|
|