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Author dc.contributor.author Castillo, F.
Author dc.contributor.author Toledo Cabrera, Benjamín es_CL
Author dc.contributor.author Muñoz Gálvez, Víctor es_CL
Author dc.contributor.author Rogan Castillo, José es_CL
Author dc.contributor.author Zarama, R. es_CL
Author dc.contributor.author Kiwi Tichauer, Miguel es_CL
Author dc.contributor.author Valdivia Hepp, Juan es_CL
Admission date dc.date.accessioned 2014-12-16T14:14:16Z
Available date dc.date.available 2014-12-16T14:14:16Z
Publication date dc.date.issued 2014
Cita de ítem dc.identifier.citation Physica A 403 (2014) 65–70 en_US
Identifier dc.identifier.other DOI: 10.1016/j.physa.2014.01.068
Identifier dc.identifier.uri https://repositorio.uchile.cl/handle/2250/119830
General note dc.description Artículo de publicación ISI en_US
Abstract dc.description.abstract We simulate traffic in a city by means of the evolution of a row of interacting cars,
using a cellular automaton model, in a sequence of traffic lights synchronized by a ‘‘green
wave’’. When our initial condition is a small density jammed state, its evolution shows
the expected scaling laws close to the synchronization resonance, with a uniform car
density along the street. However, for an initial large density jammed state, we observe
density variations along the streets, which results in the breakdown of the scaling laws. This
spatial disorder corresponds to a different attractor of the system. As we include velocity
perturbations in the dynamics of the cars, all these attractors converge to a statistically
equivalent system for all initial jammed densities. However, this emergent state shows
a stochastic resonance-like behavior in which the average traffic velocity increases with
respect to that of the system without noise, for several initial jammed densities. This result
may help in the understanding of dynamics of traffic jams in cities.
© 2014 Elsevier B.V. en_US
Patrocinador dc.description.sponsorship This project has been financially supported by FONDECyT projects 1110135 (JAV), 1130273 (BAT), 1120399 and 1130272
(MK, JR), 1121144 (VM). This work was also supported by the Financiamiento Basal para Centros Científicos y Tecnológicos de
Excelencia, CEDENNA Project en_US
Lenguage dc.language.iso en en_US
Publisher dc.publisher Elsevier en_US
Type of license dc.rights Attribution-NonCommercial-NoDerivs 3.0 Chile *
Link to License dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/cl/ *
Keywords dc.subject Traffic dynamics en_US
Título dc.title City traffic jam relief by stochastic resonance en_US
Document type dc.type Artículo de revista
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