Analyse multi-échelle de la vulnérabilité des réseaux des systèmes territoriaux
Identifieur interne : 000619 ( France/Analysis ); précédent : 000618; suivant : 000620Analyse multi-échelle de la vulnérabilité des réseaux des systèmes territoriaux
Auteurs : Michel Nabaa [France] ; Cyrille Bertelle [France] ; Antoine Dutot [France] ; Patrick Lions [France] ; Pascal Mallet [France] ; Damien Olivier [France]Source :
Descripteurs français
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Abstract
In this work, we deal with risk prevention and crisis management requiring evacuation. Road network structure and mobility process are studied by using swarm intelligence methods. Risk prevention is considered by analyzing the vulnerability of the network represented by a multigraph, at different scale levels thanks to betweenness centrality and hierarchical clustering methods. Crisis management during an evacuation is also treated. A microscopic traffic model is developed and a micro-evacuation simulator is proposed to organize an evacuation, beginning from crisis occurrence until vehicles evacuation. Our model is adaptive, it takes into consideration multigraph structure and its elements vulnerability at different scale levels, and unexpected events during an evacuation. Finally, the developed tool helps decision makers managing risks.
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Affiliations:
Links toward previous steps (curation, corpus...)
- to stream Hal, to step Corpus: 000402
- to stream Hal, to step Curation: 000402
- to stream Hal, to step Checkpoint: 000349
- to stream Main, to step Merge: 000730
- to stream Main, to step Curation: 000725
- to stream Main, to step Exploration: 000725
- to stream France, to step Extraction: 000619
Links to Exploration step
Hal:hal-01352901Le document en format XML
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76821 Mont-Saint-Aignan</addrLine><country key="FR"></country></address><ref type="url">http://www.univ-rouen.fr/</ref></desc></org></tutelle><tutelle active="#struct-301288" type="direct"><org type="department" xml:id="struct-301288" status="VALID"><orgName>Institut National des Sciences Appliquées - Rouen</orgName><orgName type="acronym">INSA Rouen</orgName><desc><address><country key="FR"></country></address></desc><listRelation><relation active="#struct-301232" type="direct"></relation></listRelation></org></tutelle><tutelle active="#struct-301232" type="indirect"><org type="institution" xml:id="struct-301232" status="VALID"><orgName>Institut National des Sciences Appliquées</orgName><orgName type="acronym">INSA</orgName><desc><address><country key="FR"></country></address></desc></org></tutelle></tutelles></hal:affiliation><country>France</country><placeName><settlement type="city">Le Havre</settlement><region type="region" nuts="2">Région Normandie</region><region type="old region" nuts="2">Haute-Normandie</region></placeName><orgName type="university">Université du Havre</orgName><placeName><settlement type="city">Rouen</settlement><region type="region" nuts="2">Région Normandie</region><region type="old region" nuts="2">Haute-Normandie</region></placeName><orgName type="university">Université de Rouen</orgName></affiliation></author></analytic></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="mix" xml:lang="fr"><term>SIG</term><term>auto-organisation</term><term>détection d'organisations</term><term>risque</term><term>réseaux</term><term>systèmes complexes</term><term>vulnérabilité</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">In this work, we deal with risk prevention and crisis management requiring evacuation. Road network structure and mobility process are studied by using swarm intelligence methods. Risk prevention is considered by analyzing the vulnerability of the network represented by a multigraph, at different scale levels thanks to betweenness centrality and hierarchical clustering methods. Crisis management during an evacuation is also treated. A microscopic traffic model is developed and a micro-evacuation simulator is proposed to organize an evacuation, beginning from crisis occurrence until vehicles evacuation. Our model is adaptive, it takes into consideration multigraph structure and its elements vulnerability at different scale levels, and unexpected events during an evacuation. Finally, the developed tool helps decision makers managing risks.</div></front></TEI><affiliations><list><country><li>France</li></country><region><li>Haute-Normandie</li><li>Région Normandie</li></region><settlement><li>Le Havre</li><li>Rouen</li></settlement><orgName><li>Université de Rouen</li><li>Université du Havre</li></orgName></list><tree><country name="France"><region name="Région Normandie"><name sortKey="Nabaa, Michel" sort="Nabaa, Michel" uniqKey="Nabaa M" first="Michel" last="Nabaa">Michel Nabaa</name></region><name sortKey="Bertelle, Cyrille" sort="Bertelle, Cyrille" uniqKey="Bertelle C" first="Cyrille" last="Bertelle">Cyrille Bertelle</name><name sortKey="Dutot, Antoine" sort="Dutot, Antoine" uniqKey="Dutot A" first="Antoine" last="Dutot">Antoine Dutot</name><name sortKey="Lions, Patrick" sort="Lions, Patrick" uniqKey="Lions P" first="Patrick" last="Lions">Patrick Lions</name><name sortKey="Mallet, Pascal" sort="Mallet, Pascal" uniqKey="Mallet P" first="Pascal" last="Mallet">Pascal Mallet</name><name sortKey="Olivier, Damien" sort="Olivier, Damien" uniqKey="Olivier D" first="Damien" last="Olivier">Damien Olivier</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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