Research Article
Smart Railway Safety System Using IoT And Sensor Integration
@INPROCEEDINGS{10.4108/eai.28-4-2025.2357938, author={Y. Dileep Kumar and Yaddalapuri Lohitha and Elumalai Teja and Gonasani Venkata Kiran and Kuruva Manjunath and Mustur VijayKumar}, title={Smart Railway Safety System Using IoT And Sensor Integration}, proceedings={Proceedings of the 4th International Conference on Information Technology, Civil Innovation, Science, and Management, ICITSM 2025, 28-29 April 2025, Tiruchengode, Tamil Nadu, India, Part I}, publisher={EAI}, proceedings_a={ICITSM PART I}, year={2025}, month={10}, keywords={railway safety iot-based accident prevention track proximity alert sensor integration arduino nodemcu real-time monitoring obstacle detection fire hazard detection gas sensing automated railway doors train movement control smart transportation systems etc}, doi={10.4108/eai.28-4-2025.2357938} }- Y. Dileep Kumar
Yaddalapuri Lohitha
Elumalai Teja
Gonasani Venkata Kiran
Kuruva Manjunath
Mustur VijayKumar
Year: 2025
Smart Railway Safety System Using IoT And Sensor Integration
ICITSM PART I
EAI
DOI: 10.4108/eai.28-4-2025.2357938
Abstract
Accidents at railway crossings and on train tracks pose a persistent safety challenge, necessitating the adoption of advanced preventive measures. This project introduces an "Accident Prevention and Track Proximity Alert System for Trains Using IoT," designed to enhance railway safety through real-time monitoring and automated alerts. The system integrates multiple sensors, including a flame sensor for fire detection, an ultrasonic sensor for obstacle identification, a metal proximity sensor for track integrity assessment, and a gas sensor to monitor hazardous gases in the railway environment. An Arduino microcontroller processes data from these sensors, interfacing with key components such as an LCD for real-time status display, a motor driver for train movement control, and a buzzer for audible warnings. Additionally, a servo motor automates railway door operations, improving safety at stations. The system leverages IoT connectivity via a NodeMCU module, enabling remote monitoring by transmitting alerts and sensor data to a cloud platform or mobile application. By integrating real-time detection, automated responses, and IoT-based alerts, this system aims to significantly reduce railway accidents, enhance operational reliability, and improve overall safety standards in railway transportation.
