Synchronization of movement for a large-scale crowd

B. Goldengorin, D. Krushynskyi, A. Makarenko

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

2 Citations (Scopus)

Abstract

Real world models of large-scale crowd movement lead to computationally intractable problems implied by various classes of non-linear stochastic differential equations. Recently, cellular automata (CA) have been successfully applied to model the dynamics of vehicular traffic, ants and pedestrians’ crowd movement and evacuation without taking into account mental properties. In this paper we study a large-scale crowd movement based on a CA approach and evaluated by the following three criteria: the minimization of evacuation time, maximization of instantaneous flow of pedestrians, and maximization of mentality-based synchronization of a crowd. Our computational experiments show that there exist interdependencies between the three criteria.
Original languageEnglish
Title of host publicationRecent advances in nonlinear dynamics and synchronization : theory and applications
EditorsK. Kyamakya, W.A. Halang, H. Unger, J.C. Chedjou, xx et al.
Place of PublicationBerlin
PublisherSpringer
ISBN (Print)978-3-642-04226-3
DOIs
Publication statusPublished - 2009

Publication series

NameStudies in computational intelligence
Volume254
ISSN (Print)1860-949X

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    Goldengorin, B., Krushynskyi, D., & Makarenko, A. (2009). Synchronization of movement for a large-scale crowd. In K. Kyamakya, W. A. Halang, H. Unger, J. C. Chedjou, & X. et al. (Eds.), Recent advances in nonlinear dynamics and synchronization : theory and applications (Studies in computational intelligence; Vol. 254). Springer. https://doi.org/10.1007/978-3-642-04227-0_9