AI BASED RUSH COLLISION PREVENTION RAILWAYS

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Abstract

The train collision monitoring system is an innovative safety solution designed to enhance the reliability of railway operations by leveraging IR sensors, fire detectors, and a pump motor.The system employs IR sensors to detect obstacles on the track, ensuring timely alerts to prevent potential collisions.Additionally, fire detectors are integrated to identify hazardous conditions such as fire or excessive heat, triggering a rapid response mechanism.In case of fire detection, a pump motor is activated to simulate fire suppression, minimizing risks to passengers and cargo.This system combines real-time monitoring with automated responses, providing a cost-effective and scalable approach to train safety.The simulation demonstrates the feasibility of implementing embedded systems and automation to significantly reduce accidents and improve the overall security of railway transportation.

Fields of Study & Subjects

IoT and GPS-based Vehicle Safety Systems Transportation Systems and Safety Fire Detection and Safety Systems

Publication details

Journal / source
International Research Journal of Modernization in Engineering Technology and Science
Publication date
11 February 2026
Language
EN