Morphodynamique de réseaux viaires - Application au risque
Identifieur interne : 000752 ( Main/Exploration ); précédent : 000751; suivant : 000753Morphodynamique de réseaux viaires - Application au risque
Auteurs : Michel Nabaa [France]Source :
Descripteurs français
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English descriptors
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Abstract
In this thesis, we deal with risk prevention and crisis management requiring evacuation. Road network structure and mobility process are studied by using swarmintelligencemethods. Risk prevention is treated 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, taking into account dangerous areas enclosing and itineraries choice strategies to evacuate those areas. Our model is adaptive, it takes into consideration multigraph structure and its elements vulnerability at different scale levels, and unexpected events during an evacuation.
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Affiliations:
Links toward previous steps (curation, corpus...)
- to stream Hal, to step Corpus: 000673
- to stream Hal, to step Curation: 000673
- to stream Hal, to step Checkpoint: 000377
- to stream Main, to step Merge: 000757
- to stream Main, to step Curation: 000752
Le document en format XML
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<front><div type="abstract" xml:lang="en">In this thesis, we deal with risk prevention and crisis management requiring evacuation. Road network structure and mobility process are studied by using swarmintelligencemethods. Risk prevention is treated 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, taking into account dangerous areas enclosing and itineraries choice strategies to evacuate those areas. Our model is adaptive, it takes into consideration multigraph structure and its elements vulnerability at different scale levels, and unexpected events during an evacuation.</div>
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