Predictive Modeling of Vehicle Emissions and Driver Behaviour: An Integrated Approach

Predictive Modeling of Vehicle Emissions and Driver Behaviour: An Integrated Approach

Registration ID: IJNRD_220099

Published ID: IJNRD2405270

DOI: Click Here to Get

Sachin Sngh , Naman Gaur , Aditya Sangar , Amit Chauhan , Dr. Deepak Gaur

Vehicle emissions, Predictive modelling, Machine learning algorithms, Environmental impact, Driving behaviour analysis, Sustainability

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.

Published Paper   E-Certificate

"Predictive Modeling of Vehicle Emissions and Driver Behaviour: An Integrated Approach", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 5, page no.c676-c679, May-2024, Available :https://ijnrd.org/papers/IJNRD2405270.pdf

Volume 9 Issue 5, May-2024

Pages : c676-c679

Paper Reg. ID: IJNRD_220099

Published Paper Id: IJNRD2405270

Downloads: 000121194

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

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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