Evacuation modeling: a case study on linear and nonlinear network flow models

We present a nonlinear traffic flow network model that is coupled to gaseous hazard information for evacuation planning. This model is evaluated numerically against a linear network flow model for different objective functions that are relevant for evacuation problems. A numerical study shows the in...

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Autores principales: Simone Göttlich, Sebastian Kühn, JanPeter Ohst, Stefan Ruzika
Formato: article
Lenguaje:EN
Publicado: Elsevier 2016
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Acceso en línea:https://doaj.org/article/4fe78525e2d34b18a1e51c1caaf3d155
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spelling oai:doaj.org-article:4fe78525e2d34b18a1e51c1caaf3d1552021-12-02T05:00:53ZEvacuation modeling: a case study on linear and nonlinear network flow models2192-440610.1007/s13675-015-0055-6https://doaj.org/article/4fe78525e2d34b18a1e51c1caaf3d1552016-09-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2192440621000630https://doaj.org/toc/2192-4406We present a nonlinear traffic flow network model that is coupled to gaseous hazard information for evacuation planning. This model is evaluated numerically against a linear network flow model for different objective functions that are relevant for evacuation problems. A numerical study shows the influence of the underlying evacuation models on the evacuation time as well as the exit strategies.Simone GöttlichSebastian KühnJanPeter OhstStefan RuzikaElsevierarticle90B1090C3590B20Applied mathematics. Quantitative methodsT57-57.97Electronic computers. Computer scienceQA75.5-76.95ENEURO Journal on Computational Optimization, Vol 4, Iss 3, Pp 219-239 (2016)
institution DOAJ
collection DOAJ
language EN
topic 90B10
90C35
90B20
Applied mathematics. Quantitative methods
T57-57.97
Electronic computers. Computer science
QA75.5-76.95
spellingShingle 90B10
90C35
90B20
Applied mathematics. Quantitative methods
T57-57.97
Electronic computers. Computer science
QA75.5-76.95
Simone Göttlich
Sebastian Kühn
JanPeter Ohst
Stefan Ruzika
Evacuation modeling: a case study on linear and nonlinear network flow models
description We present a nonlinear traffic flow network model that is coupled to gaseous hazard information for evacuation planning. This model is evaluated numerically against a linear network flow model for different objective functions that are relevant for evacuation problems. A numerical study shows the influence of the underlying evacuation models on the evacuation time as well as the exit strategies.
format article
author Simone Göttlich
Sebastian Kühn
JanPeter Ohst
Stefan Ruzika
author_facet Simone Göttlich
Sebastian Kühn
JanPeter Ohst
Stefan Ruzika
author_sort Simone Göttlich
title Evacuation modeling: a case study on linear and nonlinear network flow models
title_short Evacuation modeling: a case study on linear and nonlinear network flow models
title_full Evacuation modeling: a case study on linear and nonlinear network flow models
title_fullStr Evacuation modeling: a case study on linear and nonlinear network flow models
title_full_unstemmed Evacuation modeling: a case study on linear and nonlinear network flow models
title_sort evacuation modeling: a case study on linear and nonlinear network flow models
publisher Elsevier
publishDate 2016
url https://doaj.org/article/4fe78525e2d34b18a1e51c1caaf3d155
work_keys_str_mv AT simonegottlich evacuationmodelingacasestudyonlinearandnonlinearnetworkflowmodels
AT sebastiankuhn evacuationmodelingacasestudyonlinearandnonlinearnetworkflowmodels
AT janpeterohst evacuationmodelingacasestudyonlinearandnonlinearnetworkflowmodels
AT stefanruzika evacuationmodelingacasestudyonlinearandnonlinearnetworkflowmodels
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