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)
This project introduces a smart traffic management system that improves traffic flow at a four-way junction using a camera and RFID technology. A camera is placed at the signal to monitor traffic in real time and detect which road has more vehicles. Based on the traffic density, the system automatically gives priority to the road with heavy traffic and clears it first. The system also supports emergency vehicles like ambulances, fire engines, and police vehicles. These vehicles have RFID tags, and when they come near the signal, the RFID reader detects them and sends information to the control unit. The signal timing is immediately changed to clear the way for the emergency vehicle. This system helps reduce traffic congestion, improve road safety, and allows fast movement of emergency services, making it useful for smart city development.
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Cite Article:
"SMART TRAFFIC MANAGEMENT SYSTEM FOR URBAN CONGESTION", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 4, page no.c436-c440, April-2026, Available :http://www.ijrti.org/papers/IJRTI2604326.pdf
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ISSN:
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