Development of a real-time fog-based railway collision avoidance system

Liew, Kit Heng (2020) Development of a real-time fog-based railway collision avoidance system. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

There are many cases of railway collisions occur worldwide. To prevent the collision, a railway collision avoidance system is needed. A railway collision avoidance system is an automatic device that send an alerts message to pilots or control room when a collision is predicted. Although the railway collision avoidance system has been implemented for decades, the developed railway collision avoidance system still suffers from low reliability. Besides, to get the train 's location during poor weather is still challenging. This project aims to study and develop a railway collision avoidance system to prevent the collision of the railway network that has high reliability even during bad weather. In this project, the railway collision avoidance system is equipped with Radio-Frequency Identification (RFID) reader to scan the RFID tags located along the railway network. This railway collision avoidance system is also equipped with a GSM module to send the data reading by the RFID reader to the control rooms via SMS. Besides, the data is also update to Node-Red applications to create a live dashboard for the railway collision avoidance system. The developed system has been tested under two scenarios, during normal and rainy weather. The results show that the performance of the developed system has high reliability where the system can send out an alert signal via SMS to the control room by determining the location or locate position of the trains time to time under both normal and rainy weather.

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