Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
@article{203579,
author = {kadam Snehal and Sneha Patil and Vaishnavi Patil and Shrutika Potdar and Sakshi Vibhute and Satish pise},
title = {Smart Vehicle System for Real-Time Monitoring, Safety Enhancement and Intelligent Transportation},
journal = {International Journal of Innovative Research in Technology},
year = {2026},
volume = {12},
number = {12},
pages = {11377-11381},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=203579},
abstract = {Rapid urbanization and the increasing number of vehicles have created major challenges related to road safety, traffic congestion, and vehicle security. Machine learning—based smart transportation platforms have emerged as effective solutions to address these problems through real-time monitoring and intelligent data analysis. This research presents a Smart Vehicle System developed using React for the frontend and Python for the backend and machine learning implementation. The platform enables real-time vehicle tracking, driver behavior analysis, accident prediction, and intelligent decision-making using software-based technologies.},
keywords = {},
month = {May},
}
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