Railway Accident Avoidance System Using IoT with Cloud Computing

V. Kumara Guru, V. Suriyanarayanan, Arcot Naga Vignesh, C. Suresh Kumar

2025

Abstract

Railway system and transportation are critical mode of mass transitions, and the safety for passengers and luggage which is highly important. This paper introduces a new approach for reaching the level of railway safety and security for the people. The integration of Arduino Uno, relay, sensor [IR sensor, Ultrasonic sensor], Esp32 camera module with the Internet of Things. The proposed railway accident avoidance system uses Arduino Uno microcontrollers to monitor and control varies aspects of the railway systems. The core objective is to mitigate the risk of the railway accidents by the deployment of highly developed sensor network along with the tracks. The system is the railway accident avoidance system designed with the detection ability of possible obstructions such as obstacles and obstructions together with illegal penetration on the rail track. Arduino Uno performs the central processing unit in order to interface with the sensing network which does continuous tracking and monitoring of conditions of tracks. Collected data are received in real time to a cloud based IoT platform where remotely it can be monitored and analysed. The system uses an algorithm in two approaches for the IoT module where the sensor module will be combined with Kalman filter and fetch the GPS live location data and for the collision for the two train which should not being occurred so for that the collision prediction algorithm is used to identify possible risks and risk triggers of preventive actions. we have created a web application to connect with cloud and database where for the internet of things enhances communication between the Railway Accident Avoidance System and railway operators in handling critical circumstances. The work goes on successfully in validating and demonstrating that the adoption of within the IoT domain, The web application will fetch data from the live location from the railway system and transmit the data with the help of Esp32 camera module and ultrasonic sensor detection to communicate effectively and efficiently throughout the website if there is any high possibility of problems is occurred it will alert the passengers inside the railway train and safeguard the people by this way we can ultimately save the resources and the safety of the railway systems automatically using this internet of things module.

Paper Citation

in Harvard Style

Guru V., Suriyanarayanan V., Vignesh A. and Kumar C. (2025). Railway Accident Avoidance System Using IoT with Cloud Computing. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 199-206. DOI: 10.5220/0013925000004919

in Bibtex Style

@conference{icrdicct`2525,
author={V. Guru and V. Suriyanarayanan and Arcot Vignesh and C. Kumar},
title={Railway Accident Avoidance System Using IoT with Cloud Computing},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25},
year={2025},
pages={199-206},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013925000004919},
isbn={978-989-758-777-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25
TI - Railway Accident Avoidance System Using IoT with Cloud Computing
SN - 978-989-758-777-1
AU - Guru V.
AU - Suriyanarayanan V.
AU - Vignesh A.
AU - Kumar C.
PY - 2025
SP - 199
EP - 206
DO - 10.5220/0013925000004919
PB - SciTePress