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)
With the escalating number of vehicles, road safety has become a pressing concern, claiming 1.2 million lives annually
worldwide. In Hyderabad alone, 2367 injury accidents were reported in 2017, causing significant loss of life and economic
damage. To address this issue, we've employed machine learning algorithms to predict accident severity at specific times and
locations. Factors such as speed limit, age, weather, vehicle type, light conditions, and day of the week were used for model
training, leveraging a dataset from the UK government spanning 2005-2015. Random Forest was selected for its highest accuracy
of 86.86%. Using Python, Scikit-Learn, NumPy, and Matplotlib, we built and tested the model on Google Collab and deployed it
on Microsoft Azure's GPU-powered virtual machine. OpenWeatherMap API provides real-time weather and light data, while
TextLocal API sends SMS notifications to authorities. A user-friendly web app, secured with HTTPS and a custom domain,
facilitates input and output display. This predictive model promises to significantly aid traffic planning and management,
potentially reducing road accidents in the future.
"Road accident prediction and classification using machine learning", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 3, page no.b273-b278, March-2024, Available :http://www.ijnrd.org/papers/IJNRD2403129.pdf
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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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