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Stochastic control of traffic patterns
Author(s) -
Yuri Gaididei,
C. Gorria,
Rainer Berkemer,
P. L. Christiansen,
Atsushi Kawamoto,
Mads Peter Sørensen,
Jens Starke
Publication year - 2013
Publication title -
networks and heterogeneous media
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.732
H-Index - 34
eISSN - 1556-181X
pISSN - 1556-1801
DOI - 10.3934/nhm.2013.8.261
Subject(s) - noise (video) , traffic flow (computer networking) , computer science , modulation (music) , flow (mathematics) , stochastic process , control (management) , statistical physics , control theory (sociology) , mathematics , physics , mechanics , statistics , acoustics , computer network , image (mathematics) , artificial intelligence
A stochastic modulation of the safety distance can reduce traffic jams. It is found that the effect of random modulation on congestive flow formation depends on the spatial correlation of the noise. Jam creation is suppressed for highly correlated noise. The results demonstrate the advantage of heterogeneous performance of the drivers in time as well as individually. This opens the possibility for the construction of technical tools to control traffic jam formation.

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