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dc.contributor.authorZahari, Taha-
dc.contributor.authorSaid Amir, Azan-
dc.contributor.authorTaufiq, Abdul Gani-
dc.contributor.authorNazaruddin-
dc.date.accessioned2009-09-08T03:19:13Z-
dc.date.available2009-09-08T03:19:13Z-
dc.date.issued2005-05-14-
dc.identifier.citationp.123-128en_US
dc.identifier.urihttp://dspace.unimap.edu.my/123456789/7161-
dc.descriptionOrganized by Kolej Universiti Kejuruteraan Utara Malaysia (KUKUM), 14th - 15th May 2005 at Putra Palace Hotel, Kangar, Perlis.en_US
dc.description.abstractThis paper presents our experience in developing a video-based and intelligent urban transportation system. The paper focuses on two aspects which are a video-based approach for detecting traffic speed and volume and a fuzzy-logic-based expert system for controlling traffic signal at an intersection. Both are developed using MATLAB Toolboxes for image acquisition, image processing and fuzzy logic. The results show that fuzzy logic is a viable approach for an intelligent traffic control system.en_US
dc.language.isoenen_US
dc.publisherKolej Universiti Kejuruteraan Utara Malaysiaen_US
dc.relation.ispartofseriesProceedings of the 1st International Workshop on Artificial Life and Roboticsen_US
dc.subjectUrban transportation systemen_US
dc.subjectUrban transportationen_US
dc.subjectTransportation -- Planningen_US
dc.subjectTransportation -- Automationen_US
dc.subjectUrban transportation -- Researchen_US
dc.subjectElectronics in transportationen_US
dc.subjectIntelligent transportation systems (ITS)en_US
dc.titleVideo-Based Intelligent Traffic Control Systemen_US
dc.typeWorking Paperen_US
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