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

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.

Country : India

1 Anjali Berad2 Pratik Sonawane3 Vishakha Berad4 Prof. S.C. Puranik

  1. U.G. Student, Department of Computer Engineering, Vacoea Engineering College, Ahmednagar, Maharashtra, India
  2. U.G. Student, Department of Computer Engineering, Vacoea Engineering College, Ahmednagar, Maharashtra, India
  3. U.G. Student, Department of Computer Engineering, Vacoea Engineering College, Ahmednagar, Maharashtra, India
  4. Associate Professor, Department of Computer Engineering, Vacoea Engineering College, Ahmednagar, Maharashtra, India

IRJIET, Volume 9, Issue 5, May 2025 pp. 510-513

doi.org/10.47001/IRJIET/2025.905059

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