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Russia Izhevsk
Section Computer science
Title Validation of the model of adaptive control of the pedestrian flow movement in a dynamic space-limited environment
Author(-s) Kolodkin V.M.a, Chirkov B.V.a
Affiliations Udmurt State Universitya
Abstract The work is devoted to the validation of the model of adaptive control of the movement of pedestrian flows in a dynamic environment of limited space, which can be a building. An important case is considered in which the rates of change in the characteristics of the movement of a pedestrian flow and the state of the environment are close in magnitude. The concept of topological complexity is introduced to describe the inherent properties of a digital building model. Topological complexity characterizes the building from the position of connectedness of its elements. Validation is based on comparing the results of the evacuation of people from buildings obtained in the course of training fire alarms with the results of modeling the movement of pedestrian flows. When comparing, the time intervals for the release of buildings are compared. The experimental results are statistically significantly approximated by the regression model, which is used in validation. Validation made it possible to obtain a refinement coefficient of the digital model of the building, in which the results of modeling the movement of pedestrian flows correspond to the results of field observations. Validation of the model of controlled movement of pedestrian flows in a changing environment of limited space made it possible to use the model in a software and hardware complex for managing pedestrian flows, which operates in real-time advance mode.
Keywords model validation, adaptive management, building complexity, evacuation management
UDC 519.876.5, 51-77, 519.688
MSC 62-07, 93A30
DOI 10.35634/vm200309
Received 26 March 2020
Language Russian
Citation Kolodkin V.M., Chirkov B.V. Validation of the model of adaptive control of the pedestrian flow movement in a dynamic space-limited environment, Vestnik Udmurtskogo Universiteta. Matematika. Mekhanika. Komp'yuternye Nauki, 2020, vol. 30, issue 3, pp. 480-496.
  1. Kholshchevnikov V.V. Human flows in buildings, structures and on the territory of their complexes, Dr. Sci. (Eng.) Dissertation, Moscow, 1983, 484 p. (In Russian).
  2. Samoshin D.A. Methodological foundations of rationing the safe evacuation of people from buildings in case of fire, Dr. Sci. (Eng.) Dissertation, Moscow, 2016, 356 p. (In Russian).
  3. Shikhalev D.V., Khabibulin R.Sh. Mathematical model of definition of safe evacuation directions in case of fire, Pozharovzryvobezopasnost', 2014, vol. 23, no. 4, pp. 51-60 (in Russian).
  4. Aptukov A.M., Bratsun D.A., Lyushnin A.V. Modeling of behavior of panicked crowd in multi-floor branched space, Computer Research and Modeling, 2013, vol. 5, no. 3, pp. 491-508 (in Russian).
  5. Vitova T.B. Construction and study of the cellular-automaton stochastic model of human movement, Cand. Sci. (Eng.) Dissertation, Krasnoyarsk, 2017, 171 p. (In Russian).
  6. Liu W. Path planning methods in an environment with obstacles (A review), Mathematics and Mathematical Modeling, 2018, no. 1, pp. 15-58 (in Russian).
  7. Krasuski A., Krenski K. A-evac: The evacuation simulator for stochastic environment, Fire Technology, 2019, vol. 55, no. 5, pp. 1707-1732.
  8. Ghorpade P.S., Rudrawar S.K. Review on evacuation systems for indoor fire situation, Second International Conference on Computer Networks and Communication Technologies (ICCNCT 2019), Cham: Springer, 2020. P. 28-37.
  9. Vanumu L.D., Ramachandra Rao K., Tiwari G. Fundamental diagrams of pedestrian flow characteristics: A review, European Transport Research Review, 2017, vol. 9, issue 4, article 49.
  10. Kholshchevnikov V.V., Samoshin D.A. Evakuatsiya i povedenie lyudei pri pozharakh: uchebnoe posobie (Fire evacuation and human behavior: a training manual), Moscow: SFA of EMERCOM of Russia, 2009.
  11. Shikhalev D.V. Information and analytical support for fire evacuation management in shopping centers, Cand. Sci. (Eng.) Dissertation, Moscow, 2015, 176 p.
  12. Kholshchevnikov V.V., Parfenenko A.P. Comparison of different models of the movement of human flows and results of program computer systems, Pozharovzryvobezopasnost', 2015, vol. 24, no. 5, pp. 68-75 (in Russian).
  13. Ronchi E., Kuligowski E.D., Nilsson D., Peacock R.D., Reneke P.A. Assessing the verification and validation of building fire evacuation models, Fire Technology, 2016, vol. 52, no. 1, pp. 197-219.
  14. Kholshchevnikov V.V., Samoshin D.A., Istratov R.N., Sharanova M.M. Testovye zadachi dlya proverki tochnosti modelirovaniya vremeni evakuatsii lyudei v sluchae pozhara: ucheb.-metod. posobie. Chast' 1 (Test tasks for checking the accuracy of modeling the time of evacuation of people in case of fire: training manual. Part 1), Moscow: SFA of EMERCOM of Russia, 2019.
  15. Yurgel'yan T.B., Kirik E.S., Krouglov D.V. On validation of SIgMA.CA model of pedestrian dynamics according to data of fundamental diagrams, Siberian Journal of Science and Technology, 2010, no. 5, pp. 162-166 (in Russian).
  16. Kolodkin V.M., Chirkov B.V., Vashtiev V.K. A foot traffic model for the fire evacuation control in a building, Vestnik Udmurtskogo Universiteta. Matematika. Mekhanika. Komp'yuternye Nauki, 2015, vol. 25, issue 3, pp. 430-438 (in Russian).
  17. Kolodkin V.M., Galiullin M.E. Software algorithms that implement the foot traffic model in the building evacuation management system, Pozharovzryvobezopasnost', 2016, vol. 25, no. 10, pp. 75-85 (in Russian).
  18. Kolodkin V.M., Varlamov D.V. Features of the sociotechnical system of saving people in case of fire in a public building, Technology of Technosphere Safety, 2019, vol. 83, no. 1, pp. 101-112 (in Russian).
  19. Kolodkin V.M., Chirkov B.V. System for adaptive control of emergency evacuation in case of fire in a building, Safety in Technosphere, 2017, vol. 6, no. 4, pp. 58-65 (in Russian).
  20. Kolodkin V.M., Chirkov B.V. Reduced fire risk in buildings crowded with people, Issues of Risk Analysis, 2016, vol. 13, no. 1, pp. 52-59 (in Russian).
  21. Bolbakov R.G. The complexity of information constructions, Obrazovatel'nye Resursy i Tekhnologii, 2016, no. 4, pp. 58-63 (in Russian).
  22. Shakirov M.T., Khalyavin V.P., Leshinets I.I., Tishenko V.E. Analiz, planirovanie i prognozirovanie sebestoimosti dobychi nefti (Analysis, planning and forecasting the cost of oil production), Moscow: Nedra, 1981.
  23. L'vovskii E.N. Statisticheskie metody postroeniya empiricheskikh formul (Statistical methods to construct empirical formulas), Moscow: Vysshaya Shkola, 1988.
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