Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/109938
DC Field | Value | Language |
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dc.contributor | Department of Electrical and Electronic Engineering | - |
dc.creator | Belgibaev, B | - |
dc.creator | Mansurova, M | - |
dc.creator | Abdrakhim, S | - |
dc.creator | Ormanbekova, A | - |
dc.date.accessioned | 2024-11-20T07:30:27Z | - |
dc.date.available | 2024-11-20T07:30:27Z | - |
dc.identifier.uri | http://hdl.handle.net/10397/109938 | - |
dc.language.iso | en | en_US |
dc.publisher | Elsevier BV | en_US |
dc.rights | © 2024 The Authors. Published by Elsevier B.V. | en_US |
dc.rights | This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/) | en_US |
dc.rights | Peer-review under responsibility of the Conference Program Chairs | en_US |
dc.rights | The 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.subject | Automation of the movement of traffic flows | en_US |
dc.subject | Intelligent control systems | en_US |
dc.subject | Smart traffic light as a neurophysical device | en_US |
dc.subject | Traffic light with video vision | en_US |
dc.title | Smart traffic lights with video vision based on a control minicomputer in Kazakhstani megacities | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.spage | 792 | - |
dc.identifier.epage | 797 | - |
dc.identifier.volume | 231 | - |
dc.identifier.doi | 10.1016/j.procs.2023.12.136 | - |
dcterms.abstract | This 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.accessRights | open access | en_US |
dcterms.bibliographicCitation | Procedia computer science, 2024, v. 231, p. 792-797 | - |
dcterms.isPartOf | Procedia computer science | - |
dcterms.issued | 2024 | - |
dc.identifier.scopus | 2-s2.0-85183879636 | - |
dc.identifier.eissn | 1877-0509 | - |
dc.description.validate | 202411 bcch | - |
dc.description.oa | Version of Record | en_US |
dc.identifier.FolderNumber | OA_Scopus/WOS | en_US |
dc.description.fundingSource | Others | en_US |
dc.description.fundingText | Ministry of Science and Higher Education of the Republic of Kazakhstan | en_US |
dc.description.pubStatus | Published | en_US |
dc.description.oaCategory | CC | en_US |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
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1-s2.0-S1877050923021488-main.pdf | 856.04 kB | Adobe PDF | View/Open |
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