HARDWARE SYSTEM AND TRAIN DASHBOARD OF MOVING BLOCK SIGNALLING SYSTEM PROTOTYPE

• Main Author: JONATHAN SIRAIT NIM : 13213032 , FEBRI
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/27257
• Institution: Institut Teknologi Bandung

Trains are the most popular public transportation in Indonesia. The community's need for rail transportation every year is always increasing. But the increase in the number of passengers is not offset by the facilities and infrastructure provided by PT. Kereta Api Indonesia as a company providing rail services. This resulted in the accumulation of passengers because the capacity of the train today cannot keep up with the number of passengers. <br /> <br /> One way that can be used to overcome the increase in passengers is to change the fixed block signaling system into a moving block signalling system. Moving block signaling systems are signaling systems that can read the position of trains on rails in real time. With this position data, the engineer can adjust the train speed so that the distance between trains and the efficiency of the rail utilization can be optimized. The system created is still prototype and divided into 3 sub-systems, namely: signal generating, signal processing, data processing and communication systems, and application interface on trains and stations. <br /> <br /> This final project document will describe the signal generating system, signal processing system, data communication system and design of the application interface. Signal generating system or oscillator circuit is implemented using Arduino Nano and amplifier circuit. The signal from this oscillator circuit is processed by the signal processing system into high and low digital signal. This digital signal is then processed by voltage-lowering circuit and RC circuit to reduce bounce and eliminate voltage ripple. This output signal is then processed by the NodeMCU microcontroller and the resulted data processing is sent to the interface application on the train using the MQTT protocol. Implementation and testing of signal generating, signal processing, and also data communication and design of the application interface is successfully done