MODELING OF THE VULNERABILITY RELATED TO THE DYNAMIC ROAD TRAFFIC
Identifieur interne : 000206 ( Hal/Corpus ); précédent : 000205; suivant : 000207MODELING OF THE VULNERABILITY RELATED TO THE DYNAMIC ROAD TRAFFIC
Auteurs : Cyrille Bertelle ; Antoine Dutot ; Michel Nabaa ; Damien Olivier ; Pascal MalletSource :
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Abstract
The utilization of the road network by vehicles with different behaviors can generate a danger under normal and especially under evacuation situations. In Le Havre agglomeration (CODAH), there are 33 establishments classified SEVESO with high threshold. The modeling and assessment of the danger is useful when it intersects with the exposed stakes. The most important factor is people. In the literature, vulnerability maps are constructed to help decision makers assess the risk. These maps are based on several types of vulnerability: socio-demographic, biophysical and other different types of hazards. Nevertheless, such approaches remain static and do not take into account the population displacement in the estimation of the vulnerability. We propose a decision support system which consists in a dynamic vulnerability map based on the difficulty to evacuate different sectors in Le Havre agglomeration. This map is visualized using the Geographic Information System (GIS) of the CODAH and evolves according to the dynamic state of the road traffic through a detection of communities in a large graph. This detection is realized by an ant algorithm.
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Hal:hal-00430682Le document en format XML
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<front><div type="abstract" xml:lang="en">The utilization of the road network by vehicles with different behaviors can generate a danger under normal and especially under evacuation situations. In Le Havre agglomeration (CODAH), there are 33 establishments classified SEVESO with high threshold. The modeling and assessment of the danger is useful when it intersects with the exposed stakes. The most important factor is people. In the literature, vulnerability maps are constructed to help decision makers assess the risk. These maps are based on several types of vulnerability: socio-demographic, biophysical and other different types of hazards. Nevertheless, such approaches remain static and do not take into account the population displacement in the estimation of the vulnerability. We propose a decision support system which consists in a dynamic vulnerability map based on the difficulty to evacuate different sectors in Le Havre agglomeration. This map is visualized using the Geographic Information System (GIS) of the CODAH and evolves according to the dynamic state of the road traffic through a detection of communities in a large graph. This detection is realized by an ant algorithm.</div>
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</author>
<author role="aut"><persName><forename type="first">Michel</forename>
<surname>Nabaa</surname>
</persName>
<email>michel.nabaa@gmail.com</email>
<idno type="halauthor">445878</idno>
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<author role="aut"><persName><forename type="first">Damien</forename>
<surname>Olivier</surname>
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<email></email>
<idno type="halauthor">295675</idno>
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</author>
<author role="aut"><persName><forename type="first">Pascal</forename>
<surname>Mallet</surname>
</persName>
<email>Pascal.Mallet@agglo-havraise.fr</email>
<idno type="halauthor">445879</idno>
<affiliation ref="#struct-103905"></affiliation>
</author>
<editor role="depositor"><persName><forename>Michel</forename>
<surname>Nabaa</surname>
</persName>
<email>michel.nabaa@gmail.com</email>
</editor>
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<date type="whenReleased">2009-11-09 16:54:19</date>
<date type="whenProduced">2008</date>
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<respStmt><resp>contributor</resp>
<name key="145143"><persName><forename>Michel</forename>
<surname>Nabaa</surname>
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<email>michel.nabaa@gmail.com</email>
</name>
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<idno type="halRefHtml">22nd European Simulation and Modelling (ESM'2008), 2008, Le Havre, France. pp.524-531, 2008</idno>
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</publicationStmt>
<seriesStmt><idno type="stamp" n="UNIV-ROUEN">Université de Rouen</idno>
<idno type="stamp" n="UNIV-LEHAVRE">Université du Havre</idno>
<idno type="stamp" n="LITIS">Laboratoire d'Informatique, de Traitement de l'Information et des Systèmes</idno>
<idno type="stamp" n="COMUE-NORMANDIE">Normandie Université</idno>
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<note type="popular" n="0">No</note>
<note type="peer" n="1">Yes</note>
<note type="proceedings" n="1">Yes</note>
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<sourceDesc><biblStruct><analytic><title xml:lang="en">MODELING OF THE VULNERABILITY RELATED TO THE DYNAMIC ROAD TRAFFIC</title>
<author role="aut"><persName><forename type="first">Cyrille</forename>
<surname>Bertelle</surname>
</persName>
<email>cyrille.bertelle@univ-lehavre.fr</email>
<idno type="halAuthorId">236153</idno>
<affiliation ref="#struct-23832"></affiliation>
</author>
<author role="aut"><persName><forename type="first">Antoine</forename>
<surname>Dutot</surname>
</persName>
<email>antoine.dutot@univ-lehavre.fr</email>
<idno type="halAuthorId">445782</idno>
<affiliation ref="#struct-23832"></affiliation>
</author>
<author role="aut"><persName><forename type="first">Michel</forename>
<surname>Nabaa</surname>
</persName>
<email>michel.nabaa@gmail.com</email>
<idno type="halAuthorId">445878</idno>
<affiliation ref="#struct-23832"></affiliation>
</author>
<author role="aut"><persName><forename type="first">Damien</forename>
<surname>Olivier</surname>
</persName>
<idno type="halAuthorId">295675</idno>
<affiliation ref="#struct-23832"></affiliation>
</author>
<author role="aut"><persName><forename type="first">Pascal</forename>
<surname>Mallet</surname>
</persName>
<email>Pascal.Mallet@agglo-havraise.fr</email>
<idno type="halAuthorId">445879</idno>
<affiliation ref="#struct-103905"></affiliation>
</author>
</analytic>
<monogr><title level="m">Proceedings of 22nd European Simulation and Modelling (ESM'2008)</title>
<meeting><title>22nd European Simulation and Modelling (ESM'2008)</title>
<date type="start">2008</date>
<settlement>Le Havre</settlement>
<country key="FR">France</country>
</meeting>
<imprint><biblScope unit="pp">524-531</biblScope>
<date type="datePub">2008</date>
</imprint>
</monogr>
</biblStruct>
</sourceDesc>
<profileDesc><langUsage><language ident="en">English</language>
</langUsage>
<textClass><keywords scheme="author"><term xml:lang="en">Dynamic Vulnerability Map</term>
<term xml:lang="en">Decision Support System</term>
<term xml:lang="en">Risk</term>
<term xml:lang="en">Dynamic Graph</term>
<term xml:lang="en">Communities Detection</term>
<term xml:lang="en">Self-Organization</term>
<term xml:lang="en">GIS</term>
<term xml:lang="en">Traffic Flow</term>
</keywords>
<classCode scheme="halDomain" n="info.info-ai">Computer Science [cs]/Artificial Intelligence [cs.AI]</classCode>
<classCode scheme="halTypology" n="COMM">Conference papers</classCode>
</textClass>
<abstract xml:lang="en">The utilization of the road network by vehicles with different behaviors can generate a danger under normal and especially under evacuation situations. In Le Havre agglomeration (CODAH), there are 33 establishments classified SEVESO with high threshold. The modeling and assessment of the danger is useful when it intersects with the exposed stakes. The most important factor is people. In the literature, vulnerability maps are constructed to help decision makers assess the risk. These maps are based on several types of vulnerability: socio-demographic, biophysical and other different types of hazards. Nevertheless, such approaches remain static and do not take into account the population displacement in the estimation of the vulnerability. We propose a decision support system which consists in a dynamic vulnerability map based on the difficulty to evacuate different sectors in Le Havre agglomeration. This map is visualized using the Geographic Information System (GIS) of the CODAH and evolves according to the dynamic state of the road traffic through a detection of communities in a large graph. This detection is realized by an ant algorithm.</abstract>
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