Selforganizing traffic lights: A realistic simulation

Bae COOLS Seung; Carlos Gershenson Garcia; Bart D'Hooghe

Selforganizing traffic lights: A realistic simulation

Bae COOLS Seung, Carlos Gershenson Garcia, Bart D'Hooghe

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

We have previously shown in an abstract simulation (Gershenson, 2005) that self-organizing traffic lights can improve greatly traffic flow for any density. In this paper, we extend these results to a realistic setting, implementing self-organizing traffic lights in an advanced traffic simulator using real data from a Brussels avenue. On average, for different traffic densities, travel waiting times are reduced by 50% compared to the current green wave method.

Original language	English
Title of host publication	Self-Organization: Applied Multi-Agent Systems
Editors	M. Prokopenko
Publisher	Springer
Pages	41-50
Number of pages	10
ISBN (Print)	978-1-84628-981-1
Publication status	Published - 2007

Publication series

Name	Self-Organization: Applied Multi-Agent Systems

Bibliographical note

M. Prokopenko

Keywords

Adaptation and Self-Organizing Systems

Access to Document

http://uk.arxiv.org/abs/nlin.AO/0610040

Cite this

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title = "Selforganizing traffic lights: A realistic simulation",

abstract = "We have previously shown in an abstract simulation (Gershenson, 2005) that self-organizing traffic lights can improve greatly traffic flow for any density. In this paper, we extend these results to a realistic setting, implementing self-organizing traffic lights in an advanced traffic simulator using real data from a Brussels avenue. On average, for different traffic densities, travel waiting times are reduced by 50{\%} compared to the current green wave method.",

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AU - D'Hooghe, Bart

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AB - We have previously shown in an abstract simulation (Gershenson, 2005) that self-organizing traffic lights can improve greatly traffic flow for any density. In this paper, we extend these results to a realistic setting, implementing self-organizing traffic lights in an advanced traffic simulator using real data from a Brussels avenue. On average, for different traffic densities, travel waiting times are reduced by 50% compared to the current green wave method.

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M3 - Chapter

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T3 - Self-Organization: Applied Multi-Agent Systems

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PB - Springer

ER -

Selforganizing traffic lights: A realistic simulation

Abstract

Publication series

Bibliographical note

Keywords

Access to Document

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Cite this