Adaptive, real-time traffic control management

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.contributornot available-
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.creatorNakamiti, G.-
Autor(es): dc.creatorFreitas, R. [UNESP]-
Data de aceite: dc.date.accessioned2022-08-04T22:01:36Z-
Data de disponibilização: dc.date.available2022-08-04T22:01:36Z-
Data de envio: dc.date.issued2022-04-28-
Data de envio: dc.date.issued2022-04-28-
Data de envio: dc.date.issued2002-01-01-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/219395-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/219395-
Descrição: dc.descriptionThis paper presents an architecture for distributed control systems and its underlying methodological framework. Ideas and concepts of distributed systems, artificial intelligence, and soft computing are merged into a unique architecture to provide cooperation, flexibility, and adaptability required by knowledge processing in intelligent control systems. The distinguished features of the architecture include a local problem solving capability to handle the specific requirements of each part of the system, an evolutionary case-based mechanism to improve performance and optimize controls, the use of linguistic variables as means for information aggregation, and fuzzy set theory to provide local control. A distributed traffic control system application is discussed to provide the details of the architecture, and to emphasize its usefulness. The performance of the distributed control system is compared with conventional control approaches under a variety of traffic situations. © 2002 KSAE.-
Descrição: dc.descriptionnot available, Rua Alaro Faria de Barros, 1371, casa 22, 13098-393-Campinas-SP-
Descrição: dc.descriptionPaulista State University-
Descrição: dc.descriptionPaulista State University-
Formato: dc.format89-94-
Idioma: dc.languageen-
Relação: dc.relationInternational Journal of Automotive Technology-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectComputational intelligence-
Palavras-chave: dc.subjectIntelligent control-
Palavras-chave: dc.subjectUrban traffic control-
Título: dc.titleAdaptive, real-time traffic control management-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

Não existem arquivos associados a este item.