Logo
  • Home
  • About Us
    • Aim and Scope
    • Research Area
    • Impact Factor
    • Indexing
  • For Authors
    • Authors Guidelines
    • How to publish paper?
    • Download Paper format
    • Submit Manuscript
    • Processing Charges
    • Download Copyrights Form
    • Submit Payment-Copyrights
  • Archives
    • Current Issues
    • Past Issues
    • Conference Issues
    • Special Issues
    • Advance Search
  • IJARIIE Board
    • Join as IJARIIE Board
    • Advisory Board
    • Editorial Board
    • Sr. Reviewer Board
    • Jr. Reviewer Board
  • Proposal
    • Conferece Proposal
    • Special Proposal
    • Faqs
  • Contact Us
  • Payment Detail

Call for Papers:Vol.11 Issue.3

Submission
Last date
28-Jun-2025
Acceptance Status In One Day
Paper Publish In Two Days
Submit ManuScript

News & Updates

Submit Article

Dear Authors, Article publish in our journal for Volume-11,Issue-3. For article submission on below link: Submit Manuscript


Join As Board

Dear Reviewer, You can join our Reviewer team without given any charges in our journal. Submit Details on below link: Join As Board


Paper Publication Charges

IJARIIE APP
Download Android App

For Authors

  • How to Publish Paper
  • Submit Manuscript
  • Processing Charges
  • Submit Payment

Archives

  • Current Issue
  • Past Issue

IJARIIE Board

  • Member Of Board
  • Join As Board

Downloads

  • Authors Guidelines
  • Manuscript Template
  • Copyrights Form

Android App

Download IJARIIE APP
  • Authors
  • Abstract
  • Citations
  • Downloads
  • Similar-Paper

Authors

Title: :  Road Traffic Accident Severity Prediction Using Machine Learning
PaperId: :  24451
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 10 Issue 3 2024
DUI:    16.0415/IJARIIE-24451
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
ArvindAMC Engineering College
DR.M.CHARLES AROCKIARAJAMC Engineering College

Abstract

Computer Engineering
Road traffic accidents, Severity prediction, Accident analysis, Machine learning, Predictive modeling, Traffic safety, Risk assessment, Data mining, Feature engineering, Decision trees, Random forest, Neural networks, Crash severity, Injury prediction, Traffic collision, Accident classification, Feature selection, Pattern recognition, Predictive analytics, Accident investigation
This paper delivers into the significant research road accidents represent a global challenge resulting in fatalities, injuries, and significant economic losses. Various countries and international bodies have implemented technologies, systems, and policies aimed at accident prevention. The integration of big traffic data and artificial intelligence holds promise for predicting and mitigating accident risks. Existing research predominantly explores the influence of road geometry, environmental conditions, and weather on accidents, often neglecting crucial human factors such as alcohol and drug use, age, and gender, which significantly impact accident severity. This study addresses these factors comprehensively, employing a range of single and ensemble machine learning (ML) methods to predict accident severity. Comparative analysis reveals that Random Forest (RF) consistently outperforms logistic regression (LR), K-nearest neighbor (KNN), naive Bayes (NB), extreme gradient boosting (XG Boost), and adaptive boosting (AdaBoost), achieving accuracy rates of 86.64% for binary and 67.67% for multiclass classifications. Ensemble methods generally surpass single-mode ML techniques in accuracy, with RF, XG Boost, and AdaBoost demonstrating superior performance. These findings contribute valuable insights into accident factors and severity assessment, offering potential applications in traffic safety and risk management.

Citations

Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.

IJARIIE Arvind, and DR.M.CHARLES AROCKIARAJ. "Road Traffic Accident Severity Prediction Using Machine Learning" International Journal Of Advance Research And Innovative Ideas In Education Volume 10 Issue 3 2024 Page 6400-6402
MLA Arvind, and DR.M.CHARLES AROCKIARAJ. "Road Traffic Accident Severity Prediction Using Machine Learning." International Journal Of Advance Research And Innovative Ideas In Education 10.3(2024) : 6400-6402.
APA Arvind, & DR.M.CHARLES AROCKIARAJ. (2024). Road Traffic Accident Severity Prediction Using Machine Learning. International Journal Of Advance Research And Innovative Ideas In Education, 10(3), 6400-6402.
Chicago Arvind, and DR.M.CHARLES AROCKIARAJ. "Road Traffic Accident Severity Prediction Using Machine Learning." International Journal Of Advance Research And Innovative Ideas In Education 10, no. 3 (2024) : 6400-6402.
Oxford Arvind, and DR.M.CHARLES AROCKIARAJ. 'Road Traffic Accident Severity Prediction Using Machine Learning', International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 3, 2024, p. 6400-6402. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Road_Traffic_Accident_Severity_Prediction_Using_Machine_Learning_ijariie24451.pdf (Accessed : ).
Harvard Arvind, and DR.M.CHARLES AROCKIARAJ. (2024) 'Road Traffic Accident Severity Prediction Using Machine Learning', International Journal Of Advance Research And Innovative Ideas In Education, 10(3), pp. 6400-6402IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Road_Traffic_Accident_Severity_Prediction_Using_Machine_Learning_ijariie24451.pdf (Accessed : )
IEEE Arvind, and DR.M.CHARLES AROCKIARAJ, "Road Traffic Accident Severity Prediction Using Machine Learning," International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 3, pp. 6400-6402, May-Jun 2024. [Online]. Available: https://ijariie.com/AdminUploadPdf/Road_Traffic_Accident_Severity_Prediction_Using_Machine_Learning_ijariie24451.pdf [Accessed : ].
Turabian Arvind, and DR.M.CHARLES AROCKIARAJ. "Road Traffic Accident Severity Prediction Using Machine Learning." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 10 number 3 ().
Vancouver Arvind, and DR.M.CHARLES AROCKIARAJ. Road Traffic Accident Severity Prediction Using Machine Learning. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2024 [Cited : ]; 10(3) : 6400-6402. Available from: https://ijariie.com/AdminUploadPdf/Road_Traffic_Accident_Severity_Prediction_Using_Machine_Learning_ijariie24451.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads



Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
PREDICTING GENETIC VARIANTS PATHOGENECITYComputer EngineeringSyed Arbeena Kausar Download
ANDROID MALWARE DETECTION USING MACHINE LEARNING TECHNIQUESCOMPUTER SCIENCE AND ENGINEERINGS. Saiful Islam Download
IMPROVING HEALTHCARE PREDICTION OF DIABETIC PATIENTS USING KNN IMPUTED FEATURES AND TRI-ENSEMBLE MODELCOMPUTER SCIENCE AND ENGINEERINGS. Mahammad Arif Download
MONEY LAUNDERING DETECTION USING MACHINE LEARNING METHODSCOMPUTER SCIENCE AND ENGINEERINGY B. Shashank Raj Download
LEVERAGING SPATIOTEMPORAL PATTERNS FOR CYBER ATTACK DETECTION IN DISTRIBUTION SYSTEMCOMPUTER SCIENCE AND ENGINEERINGV. Kumar Download
Real-Time Heart Disease Prediction Using Machine LearningCOMPUTER SCIENCE AND ENGINEERINGP. Sri Pavan Hari Charan Download
HAND AND FACE LANDMARKS DETECTION USING MEDIA PIPE AND AICOMPUTER SCIENCE AND ENGINEERINGK. V. Bharath Kumar Download
VEHICLES SPEED DETECTION SYSTEM USING OPENCVCOMPUTER SCIENCE AND ENGINEERINGS. Santosh Download
SUSPICIOUS HUMAN ACTIVITY RECOGNITION FROM SURVEILLANCE VIDEOS USING DEEP LEARNINGCOMPUTER SCIENCE AND ENGINEERINGM. Lakshmi kanth Download
DETECTION OF THYROID DISORDERS USING MACHINE LEARNING APPOARCHCOMPUTER SCIENCE AND ENGINEERINGP. Shamiulla Download
Events Recommendation SystemComputer Science and EngineeringDharsana S Download
Online Attendance Using Web ApplicationComputer EngineeringMrs. P. Saranya Download
Automated Pneumonia Detection Using ResNet50 Deep Learning ModelDepartment of Computer Science & Engineering, D.Y.Patil Technical Campus, Shivaji University, KolhapurSohan Sanjay Kamalakar Download
MULTI-DISEASE DETECTION USING MACHINE LEARNINGComputer EngineeringNamithadevi N N Download
NETWORK TRAFFIC ANALYSIS WITH BIG DATA AND DEEP LEARNING TECHNIQUESCOMPUTER SCIENCE AND ENGINEERINGD VYSHNAVI Download
12
For Authors
  • Submit Paper
  • Processing Charges
  • Submit Payment
Archive
  • Current Issue
  • Past Issue
IJARIIE Board
  • Member Of Board
  • Join As Board
Privacy and Policy
Follow us

Contact Info
  • +91-8401209201 (India)
  • +86-15636082010 (China)
  • ijariiejournal@gmail.com
  • M-20/234 Ami Appt,
    Nr.Naranpura Tele-Exch,
    Naranpura,
    Ahemdabad-380063
    Gujarat,India.
Copyright © 2025. IJARIIE. All Rights Reserved.