Building a model and an algorithm for modeling the movement of people carrying goods when they are evacuated from premises

Authors

DOI:

https://doi.org/10.15587/1729-4061.2021.233916

Keywords:

heterogeneous flows of people, individual-flow movement, optimization by group of variables, nonlinear programming

Abstract

Evacuation is often the only way to save a person who is in a life-threatening situation. At present, evacuation software is used to simulate the movement of human flows, which does not always reflect the real processes of their movement. Therefore, it is a relevant task to build models for modeling the movement of human flows for different types of emergencies, different categories of human movement, and various spatial forms of their representation. Such a task arises when evacuating people from premises for various functional purposes.

During evacuation, people often carry some goods. When people move carrying some goods, their horizontal projection takes a more complex shape than an ellipse or circle considered in earlier studies. Moreover, in practice, there is often a task to model the movement of people taking into consideration the maximum permissible distances between them.

This paper reports the new quasi-phi functions of interaction between the ellipse and rectangle accounting for the maximum allowable distances between them. The proposed mathematical apparatus has made it possible to formalize the interaction between objects, thereby enabling the construction of a well-substantiated mathematical model, as well as the methods and algorithms for modeling the movement of people carrying some goods.

The possibility to simulate the movement of people with certain objects has shown taking into consideration the maximum permissible distances between them. A test example of the movement of people along four corridors was simulated, in each of which there were 28 people subsequently merging into one flow. Given the uniform distribution of three types of cargo: «backpacks», «suitcases», and «bags on wheels», the movement slowed down by about 4 %. When half of the evacuees had «bags on wheels» that can move away from people at arm’s length, the slowdown was about 6 %.

Author Biographies

Alexander Pankratov, A. Pidhornyi Institute of Mechanical Engineering Problems of the National Academy of Sciences of Ukraine

Doctor of Technical Sciences, Senior Researcher

Department of Mathematical Modeling and Optimal Design

Valentina Komyak, National University of Civil Defence of Ukraine

Doctor of Technical Sciences, Professor

Department of Physical and Mathematical Sciences

Kyazimov Tahir oglu Kyazim, Academy of the Ministry of Emergency Situations of the Republic of Azerbaijan

PhD

Department of Specialized Fire Safety Disciplines

Vladimir Komyak, National University of Civil Defence of Ukraine

PhD

Department of Management and Organization in the Field of Civil Protection

Olexandr Tarasenko, National University of Civil Defence of Ukraine

Doctor of Technical Sciences, Senior Researcher

Department of Physical and Mathematical Sciences

Oleksiy Antoshkin, National University of Civil Defence of Ukraine

PhD

Department of Automated Security Systems and Information Technologies

Iurii Mishcheriakov, Kharkiv National University of Radio Electronics

PhD

Department of Systems Engineering

Mykhailo Dolhodush, Head Directorate of the DSNS of Ukraine near the Kharkiv Region

PhD

Department for Planning, Analytical and Documentary Security

References

  1. Kholshchevnikov, V. V., Parfenenko, A. P. (2015). Comparison of different models of the movement of human flows and results of program computer systems. Pozharovzryvobezopasnost', 24 (5), 68–75. doi: https://doi.org/10.18322/pvb.2015.24.5.68-75.
  2. Stoyan, Y. G., Yakovlev, S. V. (2018). Configuration Space of Geometric Objects. Cybernetics and Systems Analysis, 54 (5), 716–726. doi: https://doi.org/10.1007/s10559-018-0073-5
  3. Stoyan, Yu. G. (1983). Osnovnaya zadacha geometricheskogo proektirovaniya. Kharkiv: In-t problem mashinostroeniya AN USSR, 36.
  4. Rvachev, V. L. (1982). Teoriya R-funktsii i nekotorye ee prilozheniya. Kyiv: Nauk. dumka, 552.
  5. Stoyan, Yu. G. (1975). Razmeschenie geometricheskih obektov. Kyiv: Nauk. dumka, 240.
  6. Stoyan, Yu. G., Gil', N. I. (1976). Metody i algoritmy razmescheniya ploskih geometricheskih obektov. Kyiv: Nauk. dumka, 247.
  7. Stoyan, Yu. G. (2001). Ф-function and its basic properties. Doklady NAN Ukrainy. Ser. A, 8, 112–117.
  8. Stoyan, Yu., Scheithauer, G., Gil, N., Romanova, T. (2004). Ф-function for complex 2D object. 40R Quarterly Journal of the Belgian, French and Italian Operations Research Societies, 2 (1), 69–84.
  9. Scheithauer, G., Stoyan, Y. G., Romanova, T. Y. (2005). Mathematical Modeling of Interactions of Primary Geometric 3D Objects. Cybernetics and Systems Analysis, 41 (3), 332–342. doi: https://doi.org/10.1007/s10559-005-0067-y
  10. Kallrath, J., Rebennack, S. (2013). Cutting ellipses from area-minimizing rectangles. Journal of Global Optimization, 59 (2-3), 405–437. doi: https://doi.org/10.1007/s10898-013-0125-3
  11. Subota, I. O. (2015). Zadacha optymalnoi upakovky elipsiv: matematychni modeli i metodi rozviazannia. Kharkiv: Instytut problem mashynobuduvannia im. A.M. Pidhornoho NAN Ukrainy.
  12. Stoyan, Y., Romanova, T., Pankratov, A., Chugay, A. (2015). Optimized Object Packings Using Quasi-Phi-Functions. Springer Optimization and Its Applications, 265–293. doi: https://doi.org/10.1007/978-3-319-18899-7_13
  13. Komyak, V., Komyak, V., Danilin, A. (2017). A study of ellipse packing in the high-dimensionality problems. Eastern-European Journal of Enterprise Technologies, 1 (4 (85)), 17–23. doi: https://doi.org/10.15587/1729-4061.2017.91902
  14. Pankratov, A., Komyak, V., Kyazimov, K., Komyak, V., Naydysh, A., Danilin, A. et. al. (2020). Development of models for the rational choice and accommodation of people in mobile technical vehicles when evacuating from buildings. Eastern-European Journal of Enterprise Technologies, 4 (4 (106)), 29–36. doi: https://doi.org/10.15587/1729-4061.2020.209256
  15. Komyak, V. M., Sobol, A. N., Danilin, A. N., Komyak, V. V., Kyazimov, K. T. ogly (2020). Optimization of Partitioning the Domain into Subdomains According to Given Limitation of Space. Journal of Automation and Information Sciences, 52 (2), 13–26. doi: https://doi.org/10.1615/jautomatinfscien.v52.i2.20
  16. Yakovlev, S., Kartashov, O., Komyak, V., Shekhovtsov, S., Sobol, O., Yakovleva, I. (2019). Modeling and Simulation of Coverage Problem in Geometric Design Systems. 2019 IEEE 15th International Conference on the Experience of Designing and Application of CAD Systems (CADSM). doi: https://doi.org/10.1109/cadsm.2019.8779303
  17. Antoshkin, O., Pankratov, A. (2016). Construction of optimal wire sensor network for the area of complex shape. Eastern-European Journal of Enterprise Technologies, 6 (4 (84)), 45–53. doi: https://doi.org/10.15587/1729-4061.2016.86171
  18. Gil’, N. I., Subbota, I. A. (2014). Quasi-phi-function for ellipse segments. Systemy obrobky informatsiyi, 8 (124), 79–82.
  19. Holschevnikov, V. V., Samoshin, D. A. (2009). Evakuatsiya i povedenie lyudey pri pozharah. Moscow: Akademiya GPS MCHS Rossii, 212.

Downloads

Published

2021-06-29

How to Cite

Pankratov, A., Komyak, V., Kyazim, K. T. oglu, Komyak, V., Tarasenko, O., Antoshkin, O., Mishcheriakov, I., & Dolhodush, M. (2021). Building a model and an algorithm for modeling the movement of people carrying goods when they are evacuated from premises. Eastern-European Journal of Enterprise Technologies, 3(4 (111), 43–50. https://doi.org/10.15587/1729-4061.2021.233916

Issue

Section

Mathematics and Cybernetics - applied aspects