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Des carrefours « intelligents » pour une meilleure gestion du trafic urbain

Identifieur interne : 000481 ( Hal/Curation ); précédent : 000480; suivant : 000482

Des carrefours « intelligents » pour une meilleure gestion du trafic urbain

Auteurs : Cherif Tolba [France] ; Dimitri Lefebvre [France] ; Philippe Thomas [France] ; Abdellah Elmoudni [France]

Source :

RBID : Hal:hal-00344251

Descripteurs français

Abstract

Urban traffic regulation requires innovative solutions to improve the transportation of humans and materials. The laboratories SeT in Belfort, CRAN in Nancy and GREAH in Le Havre (France) develop adaptive policies for traffic lights control by using hybrid Petri nets. These policies made it possible to implement discrete event controllers based on thresholds detection. The resulting controllers are used to control traffic lights in isolated crossroad. The approach is also extended to traffic control in large scale networks. The methods will be detailed in the European Journal of Automative Systems in 2008.

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Hal:hal-00344251

Le document en format XML

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<div type="abstract" xml:lang="en">Urban traffic regulation requires innovative solutions to improve the transportation of humans and materials. The laboratories SeT in Belfort, CRAN in Nancy and GREAH in Le Havre (France) develop adaptive policies for traffic lights control by using hybrid Petri nets. These policies made it possible to implement discrete event controllers based on thresholds detection. The resulting controllers are used to control traffic lights in isolated crossroad. The approach is also extended to traffic control in large scale networks. The methods will be detailed in the European Journal of Automative Systems in 2008.</div>
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<affiliation ref="#struct-21193"></affiliation>
</author>
<author role="aut">
<persName>
<forename type="first">Philippe</forename>
<surname>Thomas</surname>
</persName>
<email>philippe.thomas@cran.uhp-nancy.fr</email>
<idno type="idHal">philippe-thomas</idno>
<idno type="halAuthorId">134408</idno>
<idno type="ORCID">http://orcid.org/0000-0001-9426-3570</idno>
<affiliation ref="#struct-1001"></affiliation>
</author>
<author role="aut">
<persName>
<forename type="first">Abdellah</forename>
<surname>Elmoudni</surname>
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<email>abdellah.el-moudni@utbm.fr</email>
<idno type="halAuthorId">134411</idno>
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<monogr>
<idno type="localRef">Cahier du Campus Logistique, Vol. 2</idno>
<imprint>
<date type="datePub">2008</date>
</imprint>
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<language ident="fr">French</language>
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<keywords scheme="author">
<term xml:lang="fr">approche multi</term>
<term xml:lang="fr">modèle</term>
<term xml:lang="fr">gestion du trafic</term>
<term xml:lang="fr">réseau de Petri hybride</term>
<term xml:lang="fr">système non linéaire</term>
<term xml:lang="fr">commande événementielle</term>
<term xml:lang="fr">automate</term>
</keywords>
<classCode scheme="halDomain" n="spi.auto">Engineering Sciences [physics]/Automatic</classCode>
<classCode scheme="halTypology" n="OTHER">Other publications</classCode>
</textClass>
<abstract xml:lang="en">Urban traffic regulation requires innovative solutions to improve the transportation of humans and materials. The laboratories SeT in Belfort, CRAN in Nancy and GREAH in Le Havre (France) develop adaptive policies for traffic lights control by using hybrid Petri nets. These policies made it possible to implement discrete event controllers based on thresholds detection. The resulting controllers are used to control traffic lights in isolated crossroad. The approach is also extended to traffic control in large scale networks. The methods will be detailed in the European Journal of Automative Systems in 2008.</abstract>
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