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dc.contributor.authorRodriguez, Jacques*
dc.contributor.authorCaruso, M.*
dc.contributor.authorScemama, Gérard*
dc.contributor.authorBalbo, Flavien*
dc.contributor.authorTendjaoui, Mustapha*
dc.date.accessioned2011-02-14T10:09:34Z
dc.date.available2011-02-14T10:09:34Z
dc.date.issued2000
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/5704
dc.language.isoenen
dc.subjectpublic transporten
dc.subjectdecision aid systemen
dc.subjectSATIRen
dc.subject.ddc006.3en
dc.titleReal-time aid to decision system for bus operatorsen
dc.typeCommunication / Conférence
dc.description.abstractenThe progress in telematics at the level of surface public transport resulted in the progressive implementation of centralised fleet management systems based on automatic vehicle monitoring systems (AVM). However faced with the many disturbances on public transport, the operators have much difficulty in detecting situations with problems and make the right decisions. In this respect the decision domain, Scemama and Gaudin (1998), represents a major challenge for the new AVM generation. The paper presents a decision aid system for AVM operators, called SATIR (“Systeme d'Aide au Traitement des Incidents pour les Regulateurs”). After an introduction presenting the state of the art of AVM systems, the functions of SATIR are presented. Then its technical achievement and the first results of its assessment on the public transport network of STIB in Brussels are addressed.en
dc.identifier.citationpages200-204en
dc.relation.ispartoftitleTenth International Conference on Road Transport Information and Control, 2000en
dc.relation.ispartofpublnameIEEE Computer Societyen
dc.relation.ispartofdate2000
dc.description.sponsorshipprivateouien
dc.subject.ddclabelIntelligence artificielleen
dc.relation.ispartofisbn0-85296-725-Xen
dc.relation.conftitle10th International IEEE Conference on Road Transport Information and Controlen
dc.relation.confdate2000-04
dc.relation.confcityLondresen
dc.relation.confcountryRoyaume-Unien
dc.identifier.doihttp://dx.doi.org/10.1049/cp:20000132
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