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 continuously increasing number of vehicles on the road has resulted in a concerning rise in the frequency of daily incidents. To address this issue and prevent traffic fatalities and incidents, the transportation department requires the ability to predict the number of accidents that may occur over a specified period. Analysing the frequency of accidents can provide valuable information to develop strategies to minimize their occurrence. While accidents may seem ambiguous, patterns can be observed in various areas of India. These patterns can aid in accurate accident forecasts and the creation of prediction models. This essay explores the correlation between road conditions, environmental factors, and the likelihood of accidents. Using the AdaBoost Algorithm and Classifier, a data mining approach was utilized to develop an accident prediction model with recent datasets of road accidents occurred in different parts of India. The findings of this study can be used by the government's public works departments, contractors, and car sectors to improve road and vehicle designs.
Keywords:
Accident prediction, Data mining, AdaBoost Algorithm, Rule mining, Classifiers
Cite Article:
"ROAD SAFETY ACCIDENT PREDICTION", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 5, page no.b544-b548, May-2023, Available :http://www.ijnrd.org/papers/IJNRD2305170.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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