Stochastic control of traffic patterns

Yuri B. Gaididei; Carlos Gorria; Rainer Berkemer; Peter L. Christiansen; Atsushi Kawamoto; Mads Peter Sørensen; Jens Starke

doi:10.3934/nhm.2013.8.261

Stochastic control of traffic patterns

Yuri B. Gaididei, Carlos Gorria, Rainer Berkemer, Peter L. Christiansen, Atsushi Kawamoto, Mads Peter Sørensen, Jens Starke

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Abstract

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.

Original language	English
Journal	Networks and Heterogeneous Media
Volume	8
Issue number	1
Pages (from-to)	261-273
ISSN	1556-1801
DOIs	https://doi.org/10.3934/nhm.2013.8.261
Publication status	Published - 2013

Bibliographical note

Keywords

Traffic model
Optimal velocity model
Discrete system
Stochastic system
Spatial and temporal colored noise
Ornstein-Uhlenbeck process
Fokker-Planck equation

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title = "Stochastic control of traffic patterns",

abstract = "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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AU - Gaididei, Yuri B.

AU - Gorria, Carlos

AU - Berkemer, Rainer

AU - Christiansen, Peter L.

AU - Kawamoto, Atsushi

AU - Sørensen, Mads Peter

AU - Starke, Jens

N1 - © American Institute of Mathematical Sciences

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N2 - 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.

AB - 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.

KW - Traffic model

KW - Optimal velocity model

KW - Discrete system

KW - Stochastic system

KW - Spatial and temporal colored noise

KW - Ornstein-Uhlenbeck process

KW - Fokker-Planck equation

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DO - 10.3934/nhm.2013.8.261

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EP - 273

JO - Networks and Heterogeneous Media

JF - Networks and Heterogeneous Media

IS - 1

ER -

Stochastic control of traffic patterns

Abstract

Bibliographical note

Keywords

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