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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM24947
Volume:
7 |
7 |
Jul 2023
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Urban regions around the world struggle with the serious problem of traffic congestion, which has a negative impact on quality of life, environmental degradation, and huge economic losses. Researchers have concentrated on deciphering the reasons of traffic congestion and creating efficient solutions. This study gives a thorough analysis of research investigations that look into violations of traffic jams using data analytics approaches. This study intends to offer insights into the state-of-the-art approaches, data sources, problems, and future directions in this topic by analysing and synthesizing the existing literature.
KEYWORDS
Publication Date
7/30/2023
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
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