Sustainable Intelligent Infrastructure
ISSN: 3067-8137 (Online)
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TY - JOUR AU - Shresha, Bibek AU - Darlami, Gaurav AU - Upadhayaya, Nabin AU - Singh, Bishal AU - Shrestha, Sony AU - Ranjit, K. C. PY - 2025 DA - 2025/12/13 TI - Vehicle Accident Detection and Message Conveyor JO - Sustainable Intelligent Infrastructure T2 - Sustainable Intelligent Infrastructure JF - Sustainable Intelligent Infrastructure VL - 1 IS - 2 SP - 108 EP - 114 DO - 10.62762/SII.2025.231776 UR - https://www.icck.org/article/abs/SII.2025.231776 KW - vehicle information recorder KW - GPS locator KW - MPU 6050 KW - ESP 32 KW - GSM module AB - Road accidents have become a critical concern in recent years, particularly due to unmanaged road conditions and challenging geographical terrains, leading to a significant rise in fatalities. Timely detection and rapid response to such incidents are crucial to reducing casualties. This paper presents the design and development of an electronic system, “Vehicle Accident Detection and SMS Conveyor,” which automatically detects accident locations and communicates the incident to relevant authorities via SMS. The system integrates multiple sensors and modules, including an MPU-6050 (gyroscope and accelerometer), ESP32 microcontroller, GSM module, and GPS module. The MPU-6050 monitors vehicle tilt angles and sudden changes in speed, generating an interrupt signal to the ESP32 upon detecting abnormal conditions indicative of an accident. The ESP32 then retrieves the precise accident coordinates (latitude, longitude, and altitude), as well as the date and time, from the GPS module. Subsequently, the GSM module transmits an alert message to the nearest police station or rescue team. This system not only aids in real-time accident reporting but also facilitates efficient rescue operations and provides valuable data for post-incident investigations, contributing to improved transport management and road safety. SN - 3067-8137 PB - Institute of Central Computation and Knowledge LA - English ER -
@article{Shresha2025Vehicle,
author = {Bibek Shresha and Gaurav Darlami and Nabin Upadhayaya and Bishal Singh and Sony Shrestha and K. C. Ranjit},
title = {Vehicle Accident Detection and Message Conveyor},
journal = {Sustainable Intelligent Infrastructure},
year = {2025},
volume = {1},
number = {2},
pages = {108-114},
doi = {10.62762/SII.2025.231776},
url = {https://www.icck.org/article/abs/SII.2025.231776},
abstract = {Road accidents have become a critical concern in recent years, particularly due to unmanaged road conditions and challenging geographical terrains, leading to a significant rise in fatalities. Timely detection and rapid response to such incidents are crucial to reducing casualties. This paper presents the design and development of an electronic system, “Vehicle Accident Detection and SMS Conveyor,” which automatically detects accident locations and communicates the incident to relevant authorities via SMS. The system integrates multiple sensors and modules, including an MPU-6050 (gyroscope and accelerometer), ESP32 microcontroller, GSM module, and GPS module. The MPU-6050 monitors vehicle tilt angles and sudden changes in speed, generating an interrupt signal to the ESP32 upon detecting abnormal conditions indicative of an accident. The ESP32 then retrieves the precise accident coordinates (latitude, longitude, and altitude), as well as the date and time, from the GPS module. Subsequently, the GSM module transmits an alert message to the nearest police station or rescue team. This system not only aids in real-time accident reporting but also facilitates efficient rescue operations and provides valuable data for post-incident investigations, contributing to improved transport management and road safety.},
keywords = {vehicle information recorder, GPS locator, MPU 6050, ESP 32, GSM module},
issn = {3067-8137},
publisher = {Institute of Central Computation and Knowledge}
}
Copyright © 2025 by the Author(s). Published by Institute of Central Computation and Knowledge. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made.
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