International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

Vehicles Pollution Control Model Using Machine Learning and IoT Techniques

Anjali BeradU.G. Student, Department of Computer Engineering, Vacoea Engineering College, Ahmednagar, Maharashtra, IndiaPratik SonawaneU.G. Student, Department of Computer Engineering, Vacoea Engineering College, Ahmednagar, Maharashtra, IndiaVishakha BeradU.G. Student, Department of Computer Engineering, Vacoea Engineering College, Ahmednagar, Maharashtra, IndiaProf. S.C. PuranikAssociate Professor, Department of Computer Engineering, Vacoea Engineering College, Ahmednagar, Maharashtra, India

Vol 9 No 5 (2025): Volume 9, Issue 5, May 2025 | Pages: 510-513

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 09-06-2025

doi Logo doi.org/10.47001/IRJIET/2025.905059

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Abstract

The project seeks to solve the important issue of urban air pollution caused by vehicle emissions. This project aims to create a real-time monitoring and control system for vehicle pollution by combining Machine Learning (ML) and Internet of Things (IoT) technology. IoT sensors will be installed on vehicles and in strategic metropolitan areas to collect real-time data on pollutants including NOx, CO, and PM. Advanced machine learning algorithms will be used to analyze this data, find patterns, estimate pollution levels, and offer active emission reduction strategies. The research will also include engine model and fuel quality data to enable a thorough examination of emissions and traffic-related pollutants. The projected conclusion is an intelligent, data-driven system that can provide timely insights and solutions, resulting in cleaner air and healthier urban settings. This strategy improves pollution monitoring and management while also promoting sustainable urban design and public health activities.

Keywords

Vehicles Pollution, Machine Learning (ML) and Internet of Things (IoT), Traffic Management, Nitrogen Oxides (NOx), Carbon Monoxide (CO), Fuel Quality, Engine Model, IoT Sensors, Smart Cities, Public Health


Citation of this Article

Anjali Berad, Pratik Sonawane, Vishakha Berad, & Prof. S.C. Puranik. (2025). Vehicles Pollution Control Model Using Machine Learning and IoT Techniques. International Research Journal of Innovations in Engineering and Technology - IRJIET, 9(5), 510-513. Article DOI https://doi.org/10.47001/IRJIET/2025.905059

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