dc.creatorTazoniero A.
dc.creatorGoncalves R.
dc.creatorGomide F.
dc.date2005
dc.date2015-06-26T14:10:17Z
dc.date2015-11-26T14:10:26Z
dc.date2015-06-26T14:10:17Z
dc.date2015-11-26T14:10:26Z
dc.date.accessioned2018-03-28T21:11:08Z
dc.date.available2018-03-28T21:11:08Z
dc.identifier
dc.identifierAnnual Conference Of The North American Fuzzy Information Processing Society - Nafips. , v. 2005, n. , p. 332 - 336, 2005.
dc.identifier
dc.identifier10.1109/NAFIPS.2005.1548557
dc.identifierhttp://www.scopus.com/inward/record.url?eid=2-s2.0-33744976335&partnerID=40&md5=00dfebbbd374ceb46937ae1fcd0c07b7
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/94012
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/94012
dc.identifier2-s2.0-33744976335
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1241522
dc.descriptionThis paper discusses a knowledge-based system that uses fuzzy set techniques to plan train circulation in freight railroads. Its purpose is to aid train dispatchers in decision-making and traffic control in real-time. The system uses decision procedures based on fuzzy rules with the purpose of driving train circulation as closed as possible to reference trajectories. It can easily incorporate operational knowledge and dispatcher experience as a part of the decision-making strategy. A major characteristic of the system concerns its ability to provide feasible circulation plans in real-time. Incorporation of practical knowledge and real-time response are key requirements for control and traffic management in train control rooms. © 2005 IEEE.
dc.description2005
dc.description
dc.description332
dc.description336
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dc.languageen
dc.publisher
dc.relationAnnual Conference of the North American Fuzzy Information Processing Society - NAFIPS
dc.rightsfechado
dc.sourceScopus
dc.titleFuzzy Algorithm For Real-time Train Dispatch And Control
dc.typeActas de congresos


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