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Smart traffic lights with video vision based on a control minicomputer in Kazakhstani megacities.

Authors :
Belgibaev, Baurzhan
Mansurova, Madina
Abdrakhim, Sanzhar
Ormanbekova, Ainur
Source :
Procedia Computer Science; 2024, Vol. 231, p792-797, 6p
Publication Year :
2024

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
18770509
Volume :
231
Database :
Supplemental Index
Journal :
Procedia Computer Science
Publication Type :
Academic Journal
Accession number :
174790158
Full Text :
https://doi.org/10.1016/j.procs.2023.12.136