Urban Traffic Control and Monitoring - An Approach for the Brazilian Intelligent Cities Project

dc.contributorUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2014-05-20T15:32:41Z
dc.date.available2014-05-20T15:32:41Z
dc.date.created2014-05-20T15:32:41Z
dc.date.issued2011-01-01
dc.identifierPractical Applications of Intelligent Systems. Berlin: Springer-verlag Berlin, v. 124, p. 543-551, 2011.
dc.identifier1867-5662
dc.identifierhttp://hdl.handle.net/11449/41532
dc.identifierWOS:000307258900065
dc.description.abstractThis paper describes an urban traffic control system which aims at contributing to a more efficient traffic management system in the cities of Brazil. It uses fuzzy sets, case-based reasoning, and genetic algorithms to handle dynamic and unpredictable traffic scenarios, as well as uncertain, incomplete, and inconsistent information. The system is composed by one supervisor and several controller agents, which cooperate with each other to improve the system's results through Artificial Intelligence Techniques.
dc.languageeng
dc.publisherSpringer-verlag Berlin
dc.relationPractical Applications of Intelligent Systems
dc.rightsAcesso aberto
dc.sourceWeb of Science
dc.subjectDistributed Traffic Control
dc.subjectAdaptive Systems
dc.subjectReal Time Control
dc.titleUrban Traffic Control and Monitoring - An Approach for the Brazilian Intelligent Cities Project
dc.typeActas de congresos


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