Intelligent real-time traffic signal control based on a paraconsistent logic program EVALPSN

dc.contributorHimeji Inst Technol
dc.contributorShizuoka Univ
dc.contributorUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2020-12-10T16:30:28Z
dc.date.accessioned2022-12-19T19:53:57Z
dc.date.available2020-12-10T16:30:28Z
dc.date.available2022-12-19T19:53:57Z
dc.date.created2020-12-10T16:30:28Z
dc.date.issued2003-01-01
dc.identifierRough Sets, Fuzzy Sets, Data Mining, And Granular Computing. Berlin: Springer-verlag Berlin, v. 2639, p. 719-723, 2003.
dc.identifier0302-9743
dc.identifierhttp://hdl.handle.net/11449/194574
dc.identifierWOS:000184350600124
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/5375210
dc.description.abstractIn this paper, we introduce an intelligent real-time traffic signal control system based on a paraconsistent logic program called an EVALPSN (Extended Vector Annotated Logic Program with Strong Negation), that can deal with contradiction and defeasible deontic reasoning. We show how the traffic signal control is implemented in EVALPSN with taking a simple intersection example in Japan. Simulation results for comparing EVALPSN traffic signal control to fixed-time traffic signal control are also provided.
dc.languageeng
dc.publisherSpringer
dc.relationRough Sets, Fuzzy Sets, Data Mining, And Granular Computing
dc.sourceWeb of Science
dc.subjecttraffic signal control
dc.subjectparaconsistent logic program
dc.subjectintelligent control
dc.subjectdefeasible deontic reasoning
dc.titleIntelligent real-time traffic signal control based on a paraconsistent logic program EVALPSN
dc.typeArtículos de revistas


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