Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Michael J Seitz"'
Autor:
Franziska Ruëff, Bernhard Przybilla, Maria Beatrice Biló, Ulrich Müller, Fabian Scheipl, Michael J Seitz, Werner Aberer, Anna Bodzenta-Lukaszyk, Floriano Bonifazi, Paolo Campi, Ulf Darsow, Gabrielle Haeberli, Thomas Hawranek, Helmut Küchenhoff, Roland Lang, Oliviero Quercia, Norbert Reider, Peter Schmid-Grendelmeier, Maurizio Severino, Gunter Johannes Sturm, Regina Treudler, Brunello Wüthrich
Publikováno v:
PLoS ONE, Vol 8, Iss 5, p e63233 (2013)
BackgroundTreatment failure during venom immunotherapy (VIT) may be associated with a variety of risk factors.ObjectiveOur aim was to evaluate the association of baseline serum tryptase concentration (BTC) and of other parameters with the frequency o
Externí odkaz:
https://doaj.org/article/7709054fbdf8482ab097bfe1348c071a
Publikováno v:
Entropy, Vol 21, Iss 6, p 600 (2019)
In pedestrian dynamics, individual-based models serve to simulate the behavior of crowds so that evacuation times and crowd densities can be estimated or the efficiency of public transportation optimized. Often, train systems are investigated where s
Externí odkaz:
https://doaj.org/article/2123425b371342d4a63812757a42d333
Publikováno v:
Seitz, M J, Templeton, A, Drury, J, Köster, G & Philippides, A 2017, ' Parsimony versus reductionism : How can crowd psychology be introduced into computer simulation? ', Review of General Psychology, vol. 21, no. 1, pp. 95-102 . https://doi.org/10.1037/gpr0000092
Computer simulations are increasingly being used to monitor and predict the movement behavior of crowds. This can enhance crowd safety at large events and transport hubs, and increase efficiency such as capacity utilization in public transport system
Publikováno v:
Traffic and Granular Flow '17 ISBN: 9783030114398
In pedestrian dynamics, individual-based models serve to simulate the behavior of crowds so that evacuation times and crowd densities can be estimated or the efficiency of public transportation optimized. Often train systems are investigated where se
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::57ccbc7606978bb6e3c402e476cb1a0a
https://doi.org/10.1007/978-3-030-11440-4_44
https://doi.org/10.1007/978-3-030-11440-4_44
Publikováno v:
Physica A: Statistical Mechanics and its Applications. 421:594-604
The natural biomechanical motion process of many animals is stepwise. This feature of human movement and other bipeds is largely ignored in simulation models of pedestrians and crowds. We present a concise movement model for pedestrians based on step
Autor:
Michael J. Seitz, Nikolai W. F. Bode
Publikováno v:
Die Naturwissenschaften
Bode, N W F & Seitz, M J 2018, ' Using Hidden Markov Models to characterise intermittent social behaviour in fish shoals ', Naturwissenschaften, vol. 105, no. 1-2, 7 . https://doi.org/10.1007/s00114-017-1534-9
Bode, N W F & Seitz, M J 2018, ' Using Hidden Markov Models to characterise intermittent social behaviour in fish shoals ', Naturwissenschaften, vol. 105, no. 1-2, 7 . https://doi.org/10.1007/s00114-017-1534-9
The movement of animals in groups is widespread in nature. Understanding this phenomenon presents an important problem in ecology with many applications that range from conservation to robotics. Underlying all group movements are interactions between
Publikováno v:
Journal of Computational Science. 5:841-846
Cellular automata (CA) and ordinary differential equation (ODE) based models compete for dominance in microscopic pedestrian dynamics. Both are inspired by the idea that pedestrians are subject to forces. However, there are two major differences: In
Publikováno v:
Entropy
Volume 21
Issue 6
Entropy, Vol 21, Iss 6, p 600 (2019)
Volume 21
Issue 6
Entropy, Vol 21, Iss 6, p 600 (2019)
In pedestrian dynamics, individual-based models serve to simulate the behavior of crowds so that evacuation times and crowd densities can be estimated or the efficiency of public transportation optimized. Often, train systems are investigated where s
Publikováno v:
Seitz, M J, Bode, N & Koester, G 2016, ' How cognitive heuristics can explain social interactions in spatial movement ', Journal of the Royal Society Interface, vol. 13, no. 121, 20160439 . https://doi.org/10.1098/rsif.2016.0439
The movement of pedestrian crowds is a paradigmatic example of collective motion. The precise nature of individual-level behaviours underlying crowd movements has been subject to a lively debate. Here, we propose that pedestrians follow simple heuris
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e0ac32d20760ff527e09741f9cfa1fe4
https://europepmc.org/articles/PMC5014069/
https://europepmc.org/articles/PMC5014069/
Publikováno v:
Collective Dynamics; Vol 1 (2016); 1-19
Models using a superposition of scalar fields for navigation are prevalent in microscopic pedestrian stream simulations. However, classifications, differences, and similarities of models are not clear at the conceptual level of navigation mechanisms.