Exit selection process during crowd evacuation, modelled on the cockroach emergent behaviour

• Autorzy: Zajdel M. , Filipowicz B.

Identyfikatory

DOI

10.2478/bpasts-2014-0060

• Języki publikacji: EN

Abstrakty

EN

Groups of living creatures are often faced with searching for resources and choosing between one or more alternatives of resource site. Such a process is connected either with calm food acquirement or looking for a safe place to hide from danger. The question is, what kind of criteria are taken into consideration and what induces the collective decision, when all individuals in a swarm are equal. This paper identifies a simple mechanism of shelter selection by cockroach herd, whereby an emergent decision is made with limited information and without centralization of information processing or comparison of available solutions. The mechanism leads to the optimal benefit for both a group and an individual. The proposed model activates swarm self-organization and is independent of species, therefore, a possible application to human crowd control has been studied.

Słowa kluczowe

EN

swarm; crowd; cockroach; ethology; behaviour

• Wydawca: Polska Akademia Nauk, Wydział IV Nauk Technicznych
• Czasopismo: Bulletin of the Polish Academy of Sciences. Technical Sciences
• Rocznik: 2014
• Tom: Vol. 62, nr 3
• Strony: 557--563
• Opis fizyczny: Bibliogr. 12 poz., rys., wykr.

Twórcy

autor

Zajdel M.

• AGH University of Science and Technology, Institute of Automatics, 30 Mickiewicza Ave., 30-059 Krakow, Poland

autor

Filipowicz B.

• AGH University of Science and Technology, Institute of Automatics, 30 Mickiewicza Ave., 30-059 Krakow, Poland

Bibliografia

• [1] R.E. Ritzmann, R.D. Quinn, and M.S. Fischer, “Convergent evolution and locomotion through complex terrain by insects, vertebrates and robots”, Arthropod Structure & Development 33 (3), 361–379 (2004).
• [2] J.C. Spagna, D.I. Goldman, P-C. Lin, D.E. Koditschek, and R.J. Full, “Distributed mechanical feedback control of rapid running on challenging terrain”, Bioinspiration & Biomimetics 2 (1), 9–18 (2007).
• [3] A. Liana, Blattodea – Cockroaches, The Listings of Animals of Poland, vol. 1, ed. J. Razowski, Warszawa, 1990.
• [4] L. Konopski and M. Koberda, Pheromones of Various Species of Animals, Pheromones of Human, Scientific Pubslishing House Scholar, London, 2003.
• [5] J. Viegas, “Cockroaches make group decisions”, Animal Planet News 1, http://animal.discovery.com/news/briefs/20060327/cockroach.html (2006).
• [6] M.D. Lemonick, “Robotic roaches do the trick”, Time Magazine 1, http://www.time.com/time/health/article/0,8599,1684427,00.html?imw=Y (2007).
• [7] J-M. Ame, J. Halloy, C. Rivault, C. Detrain, and J.L. Deneubourg, “Collegial decision making based on social amplification leads to optimal group formation”, Proc. Nat. Ac. Sci. USA 103 (15), 5835–5840 (2006).
• [8] W. Parry, “Pavlovian cockroaches learn like dogs (and humans)”, Discover Magazine 1, http://discovermagazine.com/2007/sep/pavlovian-cockroaches-learn-like-dogs-and-humans (2007).
• [9] C. ZhaoHui and T. HaiYan, “Cockroach swarm optimization”, 2nd Int. Conf. on Computer Engineering and Technology 6, 652–655 (2010).
• [10] D. Li, Z. Chen, and B. Zhang, “Particle swarm optimization algorithm with chaos and its performance testing”, Second Int. Conf. on Impulsive Dynamical Systems and Applications 1, 1330–1335 (2005).
• [11] M. Zajdel, “Modelling human group behaviour based on the behavioural reactions of herd animals in panic situations”, PhD Thesis, Cracow University, Kraków, 2012.
• [12] B. Filipowicz and J. Kwiecien, “Queueing systems and networks. Models and applications”, Bull. Pol. Ac.: Tech. 56 (4), 379–390 (2008).