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Conference Paper: Freeway traffic control using fuzzy logic controllers
Title | Freeway traffic control using fuzzy logic controllers |
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Authors | |
Issue Date | 1992 |
Citation | International Conference On Fuzzy Theory And Technology Proceedings, Abstracts And Summaries, 1992, p. 214-218 How to Cite? |
Abstract | Homogeneous speed control is an effective way to avoid congestion before the traffic density becomes critical. In this paper, a two-level model-free neural-network based fuzzy logic controller (FLC) 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 types. |
Persistent Identifier | http://hdl.handle.net/10722/158414 |
References |
DC Field | Value | Language |
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dc.contributor.author | Ngo, CY | en_US |
dc.contributor.author | Li, VOK | en_US |
dc.date.accessioned | 2012-08-08T08:59:30Z | - |
dc.date.available | 2012-08-08T08:59:30Z | - |
dc.date.issued | 1992 | en_US |
dc.identifier.citation | International Conference On Fuzzy Theory And Technology Proceedings, Abstracts And Summaries, 1992, p. 214-218 | en_US |
dc.identifier.uri | http://hdl.handle.net/10722/158414 | - |
dc.description.abstract | Homogeneous speed control is an effective way to avoid congestion before the traffic density becomes critical. In this paper, a two-level model-free neural-network based fuzzy logic controller (FLC) 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 types. | en_US |
dc.language | eng | en_US |
dc.relation.ispartof | International Conference on Fuzzy Theory and Technology Proceedings, Abstracts and Summaries | en_US |
dc.title | Freeway traffic control using fuzzy logic controllers | en_US |
dc.type | Conference_Paper | en_US |
dc.identifier.email | Li, VOK:vli@eee.hku.hk | en_US |
dc.identifier.authority | Li, VOK=rp00150 | en_US |
dc.description.nature | link_to_subscribed_fulltext | en_US |
dc.identifier.scopus | eid_2-s2.0-1842557788 | en_US |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-1842557788&selection=ref&src=s&origin=recordpage | en_US |
dc.identifier.spage | 214 | en_US |
dc.identifier.epage | 218 | en_US |
dc.identifier.scopusauthorid | Ngo, CY=36817837500 | en_US |
dc.identifier.scopusauthorid | Li, VOK=7202621685 | en_US |