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dc.rights.licenseopenen_US
hal.structure.identifierLaboratoire de l'intégration, du matériau au système [IMS]
dc.contributor.authorGORECKI, Simon
IDREF: 225329174
hal.structure.identifierBordeaux Sciences Economiques [BSE]
dc.contributor.authorZERGUINI, Seghir
IDREF: 082069476
hal.structure.identifierBordeaux Sciences Economiques [BSE]
dc.contributor.authorGAUSSIER, Nathalie
IDREF: 055278647
hal.structure.identifierLaboratoire de l'intégration, du matériau au système [IMS]
dc.contributor.authorTRAORE, Mamadou Kaba
IDREF: 112136893
dc.date.accessioned2022-09-23T06:37:59Z
dc.date.available2022-09-23T06:37:59Z
dc.date.issued2022-01
dc.identifier.isbn978-981193358-5en_US
dc.identifier.urioai:crossref.org:10.1007/978-981-19-3359-2_26
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/148319
dc.description.abstractEnn order to limit greenhouse gas emissions, urban travel is a central point of interest for metropolises as part of their actions in favor of ecological transition. MUST-B is a land use transport interaction (LUTI) model that simulates the location choices of households and jobs. It models and simulates the interaction both of the population of an agglomeration through its residential choices with activities and jobs, but also the different modes of transport to satisfy daily mobility. This tool based on the agent-based paradigm makes it possible to apprehend the complexity of an urban territory from individual behaviors giving rise to collective phenomena. In this article, we concentrate on the “transport” part of the tool, show how the elaboration and the calibration of this model are done, and study an example of its reaction to a variation of setpoints
dc.language.isoENen_US
dc.publisherSpringer Nature Singaporeen_US
dc.sourcecrossref
dc.source.titleAgents and Multi-Agent Systems: Technologies and Applications 2022en_US
dc.subject.enGas emissions
dc.subject.enGreenhouse gases
dc.title.enDevelopment of a Transport Model Dedicated to an Agent-Based Simulation of Land Use
dc.typeChapitre d'ouvrageen_US
dc.identifier.doi10.1007/978-981-19-3359-2_26en_US
dc.subject.halSciences de l'ingénieur [physics]/Automatique / Robotiqueen_US
bordeaux.page301-311en_US
bordeaux.volume306en_US
bordeaux.hal.laboratoriesLaboratoire d’Intégration du Matériau au Système (IMS) - UMR 5218en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionBordeaux INPen_US
bordeaux.institutionCNRSen_US
bordeaux.inpressnonen_US
bordeaux.import.sourcedissemin
hal.identifierhal-03784374
hal.version1
hal.date.transferred2022-09-23T06:38:03Z
hal.exporttrue
workflow.import.sourcedissemin
dc.rights.ccPas de Licence CCen_US
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.btitle=Agents%20and%20Multi-Agent%20Systems:%20Technologies%20and%20Applications%202022&rft.date=2022-01&rft.volume=306&rft.spage=301-311&rft.epage=301-311&rft.au=GORECKI,%20Simon&ZERGUINI,%20Seghir&GAUSSIER,%20Nathalie&TRAORE,%20Mamadou%20Kaba&rft.isbn=978-981193358-5&rft.genre=unknown


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