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Stream/Area:
-
Subject:
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Paper ID:
10.55041/IJSREM46680
Volume:
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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.
Traffic congestion is a major issue in many Indian and global cities due to signal failures, poor law enforcement, and ineffective traffic management. It negatively impacts the economy, environment, and quality of life. This project proposes a smart traffic management system using the Internet of Things and decentralized algorithms to optimize traffic flow. It predicts traffic density to reduce congestion and prioritizes emergency vehicles by turning red lights green along their route. By improving traffic control and reducing delays, especially in emergencies, the system enhances safety, saves lives, and addresses the shortcomings of traditional traffic management methods.
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Publication Date
3/4/2025
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.
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No funding information available for this research.
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