Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
Traffic congestion is a growing concern in urban areas, leading to increased travel time, fuel consumption, and pollution. Traditional traffic light systems operate on fixed time intervals, which often result in inefficiencies, especially during varying traffic conditions. This paper proposes an intelligent traffic management system that dynamically adjusts signal timings based on real-time traffic density. The system utilizes ultrasonic sensors to measure vehicle density at intersections and an Arduino-based microcontroller system (Mega 2560 and Nano) to process the data and control traffic signals accordingly. Additionally, an RFID RC522 module with RFID tags is incorporated to prioritize emergency and authorized vehicles, ensuring smoother passage. The proposed solution aims to improve traffic flow efficiency, reduce waiting times, and enhance overall road safety.
"AUTOMATIC TRAFFIC LIGHT SIGNAL BASED ON DENSITY", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.10, Issue 4, page no.a195-a198, April-2025, Available :http://www.ijrti.org/papers/IJRTI2504027.pdf
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator