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Article: Freeway traffic control using fuzzy logic controllers

TitleFreeway traffic control using fuzzy logic controllers
Authors
Issue Date1994
Citation
Information Sciences - Applications, 1994, v. 1 n. 2, p. 59-76 How to Cite?
AbstractA major cause of freeway congestion before the traffic density becomes critical is the shock wave due to the speed differences between consecutive vehicles. Such disturbance can be reduced if we can impose homogeneous speed control on the vehicles. In this paper, a two-level model-free control scheme using neural-network-based fuzzy logic controllers is proposed which regulates the speed of the freeway through speed advisory boards. Using information from both measurement data and expert knowledge (e.g., environmental information and psychological factors), it is expected that this controller will outperform the conventional ones. © 1994.
Persistent Identifierhttp://hdl.handle.net/10722/154997
ISSN
1997 Impact Factor: 0.158

 

DC FieldValueLanguage
dc.contributor.authorNgo, CYen_US
dc.contributor.authorLi, VOKen_US
dc.date.accessioned2012-08-08T08:31:27Z-
dc.date.available2012-08-08T08:31:27Z-
dc.date.issued1994en_US
dc.identifier.citationInformation Sciences - Applications, 1994, v. 1 n. 2, p. 59-76en_US
dc.identifier.issn1069-0115en_US
dc.identifier.urihttp://hdl.handle.net/10722/154997-
dc.description.abstractA major cause of freeway congestion before the traffic density becomes critical is the shock wave due to the speed differences between consecutive vehicles. Such disturbance can be reduced if we can impose homogeneous speed control on the vehicles. In this paper, a two-level model-free control scheme using neural-network-based fuzzy logic controllers is proposed which regulates the speed of the freeway through speed advisory boards. Using information from both measurement data and expert knowledge (e.g., environmental information and psychological factors), it is expected that this controller will outperform the conventional ones. © 1994.en_US
dc.languageengen_US
dc.relation.ispartofInformation Sciences - Applicationsen_US
dc.titleFreeway traffic control using fuzzy logic controllersen_US
dc.typeArticleen_US
dc.identifier.emailLi, VOK:vli@eee.hku.hken_US
dc.identifier.authorityLi, VOK=rp00150en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.scopuseid_2-s2.0-0028388688en_US
dc.identifier.volume1en_US
dc.identifier.issue2en_US
dc.identifier.spage59en_US
dc.identifier.epage76en_US
dc.identifier.scopusauthoridNgo, CY=36817837500en_US
dc.identifier.scopusauthoridLi, VOK=7202621685en_US

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