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)
Traffic congestion, a major problem in cities all over the world, has several negative effects.
including longer travel times, higher fuel consumption, and emissions. It may also lead to
safety hazards and driver frustration. It is possible to reduce congestion and improve traffic
flow by employing machine learning to forecast traffic conditions. The goal of this project is
to create a machine-learning model that can predict traffic conditions with enough accuracy
to reduce traffic jams, improve traffic flow, shorten travel times, use less fuel, and produce
fewer emissions.
Keywords:
Regression, Time Series Analysis, Artificial Neural Networks (ANNs)
Cite Article:
"Traffic Prediction using Machine Learning", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 2, page no.b154-b157, February-2024, Available :http://www.ijnrd.org/papers/IJNRD2402121.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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