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{198826,
author = {A Haritha and Challa Nikhitha and Dhiravath Kumar and Arawapally Bhaskar and Bolleddula Avinash},
title = {IMPLENTATION OF IOT-BASED COMMUNICATION SYSTEM FOR ELECTRIC VEHICLE FLEET},
journal = {International Journal of Innovative Research in Technology},
year = {2026},
volume = {12},
number = {11},
pages = {10049-10054},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=198826},
abstract = {The rapid growth of electric vehicles and increasing traffic density demand intelligent communication systems to enhance road safety and operational efficiency. This research presents an IoT-based communication system for electric vehicle fleet that integrates real-time sensing, wireless communication, and cloud connectivity. The proposed system utilizes an ESP32 microcontroller, GPS module, MPU6050 sensor, and voltage monitoring to detect accidents, track vehicle location, and monitor battery health. A MobileNet SSD-based vision model is incorporated for object detection to improve situational awareness. Vehicle-to-vehicle communication is established using RF modules to provide immediate alerts to nearby vehicles, while IoT platforms enable remote monitoring and emergency notifications. The system is designed to be cost-effective, scalable, and suitable for smart transportation environments. Experimental results demonstrate improved response time, enhanced safety, and reliable communication, making the system a promising solution for next-generation intelligent transport and electric vehicle management systems.},
keywords = {IoT, Electric Vehicle fleet, V2V Communication, Accident Detection, GPS Tracking, Smart Transportation.},
month = {April},
}
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