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- W4312800957 abstract "Traffic congestion detection is a major issue in traffic control. The primary goal of traffic control is to detect congestion. The exponential rise of automobiles on the road network makes traffic control more difficult every second. The congestion detection literature survey was addressed in this publication, along with a research discrepancy finding. The current research work is compared extensively under numerous factors and may be identified when it enhances the detection process up to a certain degree in a particular environment, but struggles to please in different situations. As a result, bringing disparate worlds together becomes a necessary task. The solution to reducing traffic-related problems would be a congestion detection technique running in almost every environment. The above problem is addressed by a context-based approach to understanding congestion identification, which can thus be treated as the ultimate technique for detecting congestion. A congestion monitoring approach that runs in virtually any setting would be the solution to decreasing traffic-related concerns. A context-based approach to understanding congestion identification, which may thus be considered the ultimate strategy for detecting congestion, addresses the aforesaid difficulty." @default.
- W4312800957 created "2023-01-05" @default.
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- W4312800957 date "2021-12-01" @default.
- W4312800957 modified "2023-09-28" @default.
- W4312800957 title "Congestion Detection Techniques in Road Network" @default.
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- W4312800957 doi "https://doi.org/10.1109/scout54618.2021.00060" @default.
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