Abstract: This research paper presents an innovative approach to railway safety through the development of an Arduino Nano-based train accident prevention system. The system utilizes ultrasonic sensors for real-time obstacle detection on railway tracks, coupled with immediate alert mechanisms including audible buzzers and visual LED indicators. A distinctive feature of this implementation is the integration with Processing IDE software, which provides a graphical interface displaying real-time obstacle detection data for train operators. The prototype demonstrates effectiveness within a 1-meter detection range, offering a cost-effective solution (₹4,110) compared to conventional railway safety systems. The paper comprehensively covers the system design, implementation challenges, test results, and proposes future enhancements including IoT integration and machine learning applications for improved reliability under various environmental conditions.
Keywords: Railway Safety, Arduino Nano, Ultrasonic Sensor, Real-time Monitoring, Obstacle Detection, Embedded Systems
Downloads:
|
DOI:
10.17148/IJARCCE.2025.14466
[1] Ravikant Laxmiprasad Soni, Prajwal Dhanraj Chandurkar, Ankit Lahanu Potle, Mahesh Kishor Gurmule, Prajwal Sharad Sontakke, Dhananjay Dadarao Bhongade, Prof. Payal Suramwar, "“TRAIN ACCIDENT PREVENTION USING SENSOR & ARDUINO”," International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2025.14466
