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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) |
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| Paper Title: | Road accident prediction and classification using machine learning |
| Authors Name: | Devansh Pradhan , Apurv Upadhyay , Arpita Pandey , Ashish Gupta , Dr. Rajkumar Gaur |
| Download E-Certificate: | Download |
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IJNRD_215106
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| Published Paper Id: | IJNRD2403129 |
| Published In: | Volume 9 Issue 3, March-2024 |
| DOI: | |
| Abstract: | 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. |
| Keywords: | Road Safety Prediction System, Accident Severity Prediction |
| Cite Article: | "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 |
| Downloads: | 00037 |
| 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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Published Paper ID:IJNRD2403129 Registration ID: 215106 Published In: Volume 9 Issue 3, March-2024 DOI (Digital Object Identifier): Page No: b273-b278 Country: GORAKHPUR, Uttar Pradesh, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2403129 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2403129 |
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ISSN: 2456-4184
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