REVOLUTIONIZING TRAFFIC CONGESTION: EXPLORING NEW ALGORITHMS FOR INTERSECTION MANAGEMENT

dc.contributor.author	Djurayev Sherzod Sobirjonovich
dc.date.accessioned	2025-12-31T12:08:47Z
dc.date.issued	2023-09-20
dc.description.abstract	Traffic congestion is a ubiquitous problem in urban areas, causing frustration, wasted time, and environmental pollution. One of the critical areas contributing to congestion is the management of intersections. However, advancements in technology and the emergence of new algorithms are offering promising solutions to alleviate traffic congestion at intersections. In this article, we will delve into these innovative algorithms and how they are revolutionizing intersection management.
dc.format	application/pdf
dc.identifier.uri	https://scholarsdigest.org/index.php/ijsae/article/view/397
dc.identifier.uri	https://asianeducationindex.com/handle/123456789/44699
dc.language.iso	eng
dc.publisher	Scholars Digest Publishing
dc.relation	https://scholarsdigest.org/index.php/ijsae/article/view/397/390
dc.source	International Journal of Studies in Advanced Education; Vol. 2 No. 09 (2023); 9-16
dc.source	2949-8864
dc.source	2949-8945
dc.subject	Machine learning algorithms, Traditional intersection management, Cooperative intersection management, V2I communication, Internet of Things, Adaptive Traffic Signal Control, Traffic Data Collection.
dc.title	REVOLUTIONIZING TRAFFIC CONGESTION: EXPLORING NEW ALGORITHMS FOR INTERSECTION MANAGEMENT
dc.type	info:eu-repo/semantics/article
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	Peer-reviewed Article

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