Paper Title

ROAD SAFETY ACCIDENT PREDICTION

Article Identifiers

Registration ID: IJNRD_194315

Published ID: IJNRD2305170

DOI: Click Here to Get

Authors

Harsh Ranjan , MUKUL PRASAD RAY , Arbas Rahaman

Keywords

Accident prediction, Data mining, AdaBoost Algorithm, Rule mining, Classifiers

Abstract

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.

How To Cite

"ROAD SAFETY ACCIDENT PREDICTION", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 5, page no.b544-b548, May-2023, Available :https://ijnrd.org/papers/IJNRD2305170.pdf

Issue

Volume 8 Issue 5, May-2023

Pages : b544-b548

Other Publication Details

Paper Reg. ID: IJNRD_194315

Published Paper Id: IJNRD2305170

Downloads: 000121163

Research Area: Engineering

Country: Varanasi, UP, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2305170.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2305170

About Publisher

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

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

IJNRD is Scholarly open access journals, Peer-reviewed, and Refereed Journals, High 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 Open-Access Publications.

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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Paper Submission Open For: August 2025

Current Issue: Volume 10 | Issue 8

Last Date for Paper Submission: Till 31-Aug-2025

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Frequency: Monthly (12 issue Annually).

Journal Type: International Peer-reviewed, Refereed, and Open Access Journal.

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