DOI: 10.17586/2226-1494-2017-17-1-52-61


VIRTUAL REALITY FOR MANAGEMENT OF SITUATIONAL AWARENESS DURING GLOBAL MASS GATHERINGS

A. S. Karsakov, A. S. Zagarskikh, V. A. Karbovskii, A. P. Moiseev, V. A. Shmelev , K. D. Mukhina, A. Verma, A. V. Boukhanovsky


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Article in Russian

For citation: Karsakov A.S., Zagarskikh A.S., Karbovskii V.A., Moiseev A.P., Shmelev V.A., Mukhina K.D., Verma A., Boukhanovsky A.V. Virtual reality for management of situational awareness during global mass gatherings. Scientific and Technical Journal of Information Technologies, Mechanics and Optics, 2017, vol. 17, no. 1, pp. 52–61. doi: 10.17586/2226-1494-2017-17-1-52-61

Abstract

This paper presents a training technology for staff of mass events for development of action skills in large gatherings of people, including crowd dynamic management and actions in extreme situations caused by the panic. The technology is based on the multi-agent model of crowd dynamic with dynamically re-computable navigation fields. We implemented the software system that provides a collaborative and distributed process of training activities in the virtual reality environment. The following characteristics of the developed software system available from experimental studies were analyzed: computational intensity of simulations, scalability of rendering system and reactivity of the final system when rendering computationally intensive scenes. The proposed models and infrastructure for training through collaborative immersion in the virtual reality can improve situational awareness of events staff prior to the event. The developed technology is a unique tool for improving the quality and safety of disposable and unique events involving the broad masses of people, including unfunded by retrospective experience mass gatherings. Developed technology was tested within the Kumbh Mela festival in Ujjain, India.


Keywords: situational awareness, staff training, multi-agent modeling, virtual reality

Acknowledgements. This paper is prepared by the results of the project that was financially supported by the Russian Scientific Foundation, Agreement No. 14–21–00137 (15.08.2014)

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