Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/109938
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dc.contributorDepartment of Electrical and Electronic Engineering-
dc.creatorBelgibaev, B-
dc.creatorMansurova, M-
dc.creatorAbdrakhim, S-
dc.creatorOrmanbekova, A-
dc.date.accessioned2024-11-20T07:30:27Z-
dc.date.available2024-11-20T07:30:27Z-
dc.identifier.urihttp://hdl.handle.net/10397/109938-
dc.language.isoenen_US
dc.publisherElsevier BVen_US
dc.rights© 2024 The Authors. Published by Elsevier B.V.en_US
dc.rightsThis is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)en_US
dc.rightsPeer-review under responsibility of the Conference Program Chairsen_US
dc.rightsThe following publication Belgibaev, B., Mansurova, M., Abdrakhim, S., & Ormanbekova, A. (2024). Smart traffic lights with video vision based on a control minicomputer in Kazakhstani megacities. Procedia Computer Science, 231, 792-797 is available at https://doi.org/10.1016/j.procs.2023.12.136.en_US
dc.subjectAutomation of the movement of traffic flowsen_US
dc.subjectIntelligent control systemsen_US
dc.subjectSmart traffic light as a neurophysical deviceen_US
dc.subjectTraffic light with video visionen_US
dc.titleSmart traffic lights with video vision based on a control minicomputer in Kazakhstani megacitiesen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage792-
dc.identifier.epage797-
dc.identifier.volume231-
dc.identifier.doi10.1016/j.procs.2023.12.136-
dcterms.abstractThis article proposes innovative solutions in the field of traffic management – smart traffic lights with computer vision, aimed at improving traffic flow in the large cities of Kazakhstan. With a growing number of vehicles and increasing traffic volume, the issues of congestion and delays at intersections have become increasingly relevant. The article reviews the operational principle of such smart traffic lights, which is based on analyzing computer vision data using sensors and cameras. The benefits of applying this technology, including responsiveness, efficiency, and environmental friendliness, are considered. Furthermore, the potential of smart traffic lights in major megacities of Kazakhstan, such as Astana and Almaty, is analyzed in detail. The conclusion supports the assessment of traffic flow, travel time, and an overall evaluation of the traffic situation. Ultimately, this article highlights the improved performance of smart traffic lights with computer vision coverage in modern cities of Kazakhstan, aiming to ensure higher traffic safety and efficiency.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationProcedia computer science, 2024, v. 231, p. 792-797-
dcterms.isPartOfProcedia computer science-
dcterms.issued2024-
dc.identifier.scopus2-s2.0-85183879636-
dc.identifier.eissn1877-0509-
dc.description.validate202411 bcch-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Scopus/WOSen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextMinistry of Science and Higher Education of the Republic of Kazakhstanen_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
Appears in Collections:Journal/Magazine Article
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