INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (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)
The project aims to create a new traffic signal system that uses density to dynamically adjust the timing of signals at an intersection. This system will automatically adapt to changes in traffic density at the junction in order to alleviate the problem of congestion which affects many cities and causes difficulties for commuters. Unlike traditional traffic signal systems, which use a fixed time allocation for each side of the junction, this system will adjust the timing based on the density of vehicles at the intersection. Using object detection, the system will process and simulate the traffic data, and then use this information to determine the number of vehicles present at the intersection. Based on this data, the system will adjust the signals for the side of the intersection with the highest density of vehicles.
Keywords:
Traffic Management using ML, Traffic, Machine Learning, YOLO, image, object detection, vehicle, traffic signal systems, Classification, traffic solutions
Cite Article:
"TRAFFIC MANAGEMENT USING MACHINE LEARNING", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 4, page no.d74-d77, April-2023, Available :http://www.ijnrd.org/papers/IJNRD2304311.pdf
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ISSN:
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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