IJNRD Research Journal

WhatsApp
Click Here

WhatsApp editor@ijnrd.org
IJNRD
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)

Call For Paper

For Authors

Forms / Download

Published Issue Details

Editorial Board

Other IMP Links

Facts & Figure

Impact Factor : 8.76

Issue per Year : 12

Volume Published : 9

Issue Published : 96

Article Submitted :

Article Published :

Total Authors :

Total Reviewer :

Total Countries :

Indexing Partner

Join RMS/Earn 300

Licence

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Published Paper Details
Paper Title: ROAD SAFETY ACCIDENT PREDICTION
Authors Name: Harsh Ranjan , MUKUL PRASAD RAY , Arbas Rahaman
Download E-Certificate: Download
Author Reg. ID:
IJNRD_194315
Published Paper Id: IJNRD2305170
Published In: Volume 8 Issue 5, May-2023
DOI:
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.
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
Downloads: 000118759
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
Publication Details: Published Paper ID:IJNRD2305170
Registration ID: 194315
Published In: Volume 8 Issue 5, May-2023
DOI (Digital Object Identifier):
Page No: b544-b548
Country: Varanasi, UP, India
Research Area: Engineering
Publisher : IJ Publication
Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2305170
Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2305170
Share Article:
Share

Click Here to Download This Article

Article Preview
Click Here to Download This Article

Major Indexing from www.ijnrd.org
Semantic Scholar Microsaoft Academic ORCID Zenodo
Google Scholar ResearcherID Thomson Reuters Mendeley : reference manager Academia.edu
arXiv.org : cornell university library Research Gate CiteSeerX PUBLON
DRJI SSRN Scribd DocStoc

ISSN Details

ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016

DOI (A digital object identifier)


Providing A digital object identifier by DOI
How to Get DOI? DOI

Conference

Open Access License Policy

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

Creative Commons License This material is Open Knowledge This material is Open Data This material is Open Content

Important Details

Social Media

Licence

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

Join RMS/Earn 300

IJNRD