@inbook{fe41aada8a1d40c882ebdf48d39e45be,
title = "Synchronization of movement for a large-scale crowd",
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{\textquoteright} 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.",
author = "B. Goldengorin and D. Krushynskyi and A. Makarenko",
year = "2009",
doi = "10.1007/978-3-642-04227-0_9",
language = "English",
isbn = "978-3-642-04226-3",
series = "Studies in computational intelligence",
publisher = "Springer",
editor = "K. Kyamakya and W.A. Halang and H. Unger and J.C. Chedjou and {et al.}, xx",
booktitle = "Recent advances in nonlinear dynamics and synchronization : theory and applications",
address = "Germany",
}