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An Agent oriented approach to Transportation Regulation Support Systems

hal.structure.identifierLaboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
dc.contributor.authorBalbo, Flavien
HAL ID: 3208		*
hal.structure.identifierLaboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
dc.contributor.authorPinson, Suzanne*
dc.date.accessioned2017-07-07T10:48:14Z
dc.date.available2017-07-07T10:48:14Z
dc.date.issued2008
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/16595
dc.language.isoenen
dc.subjectagent-based applicationsen
dc.subjectenvironmenten
dc.subjectDecision Support Systemen
dc.subjecttransportation regulation support systemen
dc.subjectmulti-agent modelingen
dc.subject.ddc006.3en
dc.titleAn Agent oriented approach to Transportation Regulation Support Systemsen
dc.typeCommunication / Conférence
dc.description.abstractenThis paper presents an agent-based approach to design a Transportation Regulation Support System (TRSS). Based on a multi-agent modeling of a urban transportation network, the objective of our approach is to integrate the functionalities of the existing information system with the functionalities of a decision support system. The TRSS monitors the network activity and adjusts itself to the environment changes, that is to say it automatically detects incoherent data (regulation under normal conditions) and tra c disturbances and then it automatically proposes solutions to optimize the tra c ow (regulation under disturbed conditions). To demonstrate our approach, a transportation regulation support system called SATIR (Système Automatique de Traitement des Incidents en Réseau- Automatic System for Network Incident Processing) is presented. SATIR has been tested on the Brussel transportation network (STIB). Lastly, we show how using the multi-agent paradigm opens perspectives regarding the development of new functionalities to improve the management of a bus network.en
dc.relation.ispartoftitle7th international joint conference on Autonomous agents and multiagent systems (AAMAS 2008)en
dc.relation.ispartofeditorPadgham, Lin
dc.relation.ispartofeditorParkes, David
dc.relation.ispartofpublnameIFAAMASen
dc.relation.ispartofdate2008
dc.subject.ddclabelIntelligence artificielleen
dc.relation.conftitleAAMAS 2008en
dc.relation.confdate2008-05
dc.relation.confcityEstorilen
dc.relation.confcountryPortugalen
dc.relation.forthcomingnonen
dc.description.ssrncandidatenonen
dc.description.halcandidateouien
dc.description.readershiprechercheen
dc.description.audienceInternationalen
dc.relation.Isversionofjnlpeerreviewednonen
dc.relation.Isversionofjnlpeerreviewednonen
dc.date.updated2017-07-07T10:43:25Z
hal.identifierhal-01593544*
hal.version1*
hal.update.actionupdateMetadata*
hal.author.functionaut
hal.author.functionaut


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