Year: 2025
Type: article
Abstract: Railway transportation plays a vital role in the economic and social development of nations, but ensuring safety and efficiency remains a major challenge. The increasing frequency of train accidents due to human errors, mechanical failures, and outdated monitoring systems necessitates the development of intelligent, automated solutions. This paper introduces a Smart Track Continuous Monitoring and Train Collision Avoidance System that integrates multiple advanced technologies, including IoT, infrared (IR) sensors, gyroscope sensors, GPS, and Zigbee communication, to enhance railway safety and prevent collisions. The system operates by detecting the presence of trains using IR sensors, ensuring train alignment through gyroscope sensors, and providing real-time location tracking via GPS modules. Wireless communication is facilitated using Zigbee modules, which enable inter-train and train-to-control center communication, reducing latency and improving response times. The system is also integrated with an IoT-based cloud platform, allowing remote monitoring and data analytics for predictive maintenance and operational optimization.
Author: Bhavya V
Language: English
Subfield: Mechanical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4409501522