Paper Title
Predictive Modeling of Vehicle Emissions and Driver Behaviour: An Integrated Approach
Article Identifiers
Authors
Sachin Sngh , Naman Gaur , Aditya Sangar , Amit Chauhan , Dr. Deepak Gaur
Keywords
Vehicle emissions, Predictive modelling, Machine learning algorithms, Environmental impact, Driving behaviour analysis, Sustainability
Abstract
The study examines the predictive modelling of car emissions and driver behaviour, using Canada Fuel Consumption Ratings data set from 2020-2024. Improving CO2 emissions, CO2 rating, and smog rating predictions kept as a primary focus in this foundation by deploying complex machine learning algorithms such as Decision Tree Regressor for CO2 emissions prediction; Random Forest Classifier for Smog Rating; and Support Vector Machine for CO2 Rating. These data sets are analysed to reveal our research integrates these models to help address significant environmental challenges associated with mobile source air pollutants pollution. In particular, our approach elucidates on the contribution of vehicle emission to global climate change hence enabling policy makers and urban developers to come up with appropriate decisions regarding emission limits, improvements on roads networks and ways of mitigating climatic changes. Additionally, this research examines driving style in terms of emission ratings which can promote road safety measures among users while encouraging sustainable transportation practices. The blended method not only enhances understanding of the intricate link between driving habits and exhaust gases but also provides practical measures towards minimizing environmental degradation as well as enhancing air quality overall.
Downloads
How To Cite (APA)
Sachin Sngh, Naman Gaur, Aditya Sangar, Amit Chauhan, & Dr. Deepak Gaur (May-2024). Predictive Modeling of Vehicle Emissions and Driver Behaviour: An Integrated Approach. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(5), c676-c679. https://ijnrd.org/papers/IJNRD2405270.pdf
Issue
Volume 9 Issue 5, May-2024
Pages : c676-c679
Other Publication Details
Paper Reg. ID: IJNRD_220099
Published Paper Id: IJNRD2405270
Downloads: 000121985
Research Area: Science & Technology
Country: Noida, Uttar Pradesh, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2405270.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2405270
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
Publisher: IJNRD (IJ Publication) Janvi Wave | IJNRD.ORG | IJNRD.COM | IJPUB.ORG
Licence
This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition
Publication Timeline
Article Preview: View Full Paper
Call For Paper
IJNRD is a Scholarly Open Access, Peer-reviewed, and Refereed Journal with a High Impact Factor of 8.76 (calculated by Google Scholar & Semantic Scholar | AI-Powered Research Tool). It is a Multidisciplinary, Monthly, Low-Cost Journal that follows UGC CARE 2025 Peer-Reviewed Journal Policy norms, Scopus journal standards, and Transparent Peer Review practices to ensure quality and credibility. IJNRD provides indexing in all major databases & metadata repositories, a citation generator, and Digital Object Identifier (DOI) for every published article with full open-access visibility.
The INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to advance applied, theoretical, and experimental research across diverse fields. Its goal is to promote global scientific information exchange among researchers, developers, engineers, academicians, and practitioners. IJNRD serves as a platform where educators and professionals can share research evidence, models of best practice, and innovative ideas, contributing to academic growth and industry relevance.
Indexing Coverage includes Google Scholar, SSRN, ResearcherID-Publons, Semantic Scholar (AI-Powered Research Tool), Microsoft Academic, Academia.edu, arXiv.org, ResearchGate, CiteSeerX, ResearcherID (Thomson Reuters), Mendeley, DocStoc, ISSUU, Scribd, and many more recognized academic repositories.
How to submit the paper?
By Our website
Click Here to Submit Paper Online
Important Dates for Current issue
Paper Submission Open For: October 2025
Current Issue: Volume 10 | Issue 10 | October 2025
Impact Factor: 8.76
Last Date for Paper Submission: Till 31-Oct-2025
Notification of Review Result: Within 1-2 Days after Submitting paper.
Publication of Paper: Within 01-02 Days after Submititng documents.
Frequency: Monthly (12 issue Annually).
Journal Type: IJNRD is an International Peer-reviewed, Refereed, and Open Access Journal with Transparent Peer Review as per the new UGC CARE 2025 guidelines, offering low-cost multidisciplinary publication with Crossref DOI and global indexing.
Subject Category: Research Area
Call for Paper: More Details
