City traffic jam relief by stochastic resonance
Author
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.
General note
Artículo de publicación ISI
Patrocinador
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
Identifier
URI: https://repositorio.uchile.cl/handle/2250/119830
DOI: DOI: 10.1016/j.physa.2014.01.068
Quote Item
Physica A 403 (2014) 65–70
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