Road accident prediction and classification using machine learning

Road accident prediction and classification using machine learning

Registration ID: IJNRD_215106

Published ID: IJNRD2403129

DOI: Click Here to Get

Devansh Pradhan , Apurv Upadhyay , Arpita Pandey , Ashish Gupta , Dr. Rajkumar Gaur

Road Safety Prediction System, Accident Severity Prediction

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.

Published Paper   E-Certificate

"Road accident prediction and classification using machine learning", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 3, page no.b273-b278, March-2024, Available :https://ijnrd.org/papers/IJNRD2403129.pdf

Volume 9 Issue 3, March-2024

Pages : b273-b278

Paper Reg. ID: IJNRD_215106

Published Paper Id: IJNRD2403129

Downloads: 000121220

Research Area: Engineering

Country: GORAKHPUR, Uttar Pradesh, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2403129.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2403129

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

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

Publisher: IJNRD (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

Call For Paper - Volume 10 | Issue 8 | August 2025

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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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