AI BASED RUSH COLLISION PREVENTION RAILWAYS
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