Train Detection and Alert System

Abstract

This research paper focuses on the development and implementation of an IoT-based train detection system aimed at enhancing passenger safety and minimizing accidents. The proposed system addresses the absence of a dedicated train detection system in Sri Lanka, making it an important and timely research topic. A train detection system is an integral component of railway safety, as it allows for real-time monitoring and identification of potential risks along the tracks. However, Sri Lanka currently lacks such a system, leaving passengers vulnerable to safety hazards. Therefore, this research aims to bridge this gap by introducing and implementing an IoT-based train detection system. By leveraging IoT devices, the proposed system enables continuous monitoring and detection of critical events such as unauthorized access to railway tracks, track obstructions, and abnormal train behaviour. Real-time detection of these risks allows for timely interventions, reducing the occurrence of accidents and ensuring passenger safety. The implementation of this train detection system in Sri Lanka holds significant importance. It serves as a catalyst for research and development in the field of railway safety, offering a novel and innovative solution to address the current gaps. By introducing this system, Sri Lanka can enhance its railway infrastructure, improve passenger safety, and serve as a model for other countries facing similar challenges.

Through this research, valuable insights will be gained regarding the feasibility, effectiveness, and impact of an IoT-based train detection system in the context of Sri Lanka. The findings will contribute to the body of knowledge on railway safety and provide recommendations for the adoption and adaptation of similar systems in other regions. In conclusion, the implementation of an IoT-based train detection system in Sri Lanka is crucial for ensuring passenger safety and minimizing accidents. This research presents a significant opportunity to address the existing gap, offering a platform for innovation and enhancing the country's railway infrastructure. The findings and recommendations from this study will contribute to the advancement of railway safety globally.

Country : Sri Lanka

1 Biyanwila B.D.V.J2 Jayanga B.M.C3 Amarasinghe C.D4 Wijewardene L.L5 Dr. Shanta Rajapaksha Yapa6 Ms. Lochana Rajamanthri

  1. Department of Information Technology, Sri Lanka Institute of Information Technology, New Kandy Road, Malabe, Sri Lanka
  2. Department of Information Technology, Sri Lanka Institute of Information Technology, New Kandy Road, Malabe, Sri Lanka
  3. Dept. of Computer Systems Engineering, Sri Lanka Institute of Information Technology, New Kandy Road, Malabe, Sri Lanka
  4. Department of Information Technology, Sri Lanka Institute of Information Technology, New Kandy Road, Malabe, Sri Lanka
  5. Department of Information Management, Sri Lanka Institute of Information Technology, New Kandy Road, Malabe, Sri Lanka
  6. Department of Information Management, Sri Lanka Institute of Information Technology, New Kandy Road, Malabe, Sri Lanka

IRJIET, Volume 7, Issue 10, October 2023 pp. 566-571

doi.org/10.47001/IRJIET/2023.710074

References

  1. J. F. M. M. L. T. Sayooran Nagulendra, "Computer Assisted Railway Control System for Sri Lanka Railways," October 2010. [Online].
  2. S. L. Railways, "SRI LANKA RAILWAYS ADMINISTRATION REPORT – 2019," Sri Lanka Railways, 2019.
  3. A.A.T.P. De Silva, "Smart Train Tracker," University of Colombo, 9-Aug-2021.
  4. M. I. M. Amjath and T. Kartheeswaran, "An Automated Railway Level Crossing System," 05 March 2021. [Online].
  5. N. C. Brintha, C. V. P. Tarun, L. Abhishikth, B. P. K. Rao and M. T. Reddy, "Smart Railway Crossing Surveillance System," 15 September 2022. [Online].
  6. K. R. Ahmed, M. A. Hossain, A. Akter and L. Akthar, "A Secure Automated Level Crossing and Train Detection System for Bangladesh Railway," 29 July 2022. [Online].
  7. G. Singh, P. Kumar, R. K. Mishra, S. Sharma and K. Singh, "Security System for Railway Crossings using Machine Learning," 01 March 2021. [Online].
  8. A.A. Amusan and Y. K. Adebakin, "An Automatic Railway Level Crossing System with Crack Detection," 02 March 2023. [Online].
  9. D. N. Suwaris, "Smart Railway Route Sensor Grid for wild life area and unsafe," www.academia.edu.
  10. N. First, "04 to 05 people die daily due to train accidents: Department of Railways," News First, 18 July 2020. [Online]. Available: https://www.newsfirst.lk/2020/07/18/04-to-05-people-die-daily-due-to-train-accidents-department-of-railways/.