The development of public transportation, especially for large urban areas, is mandatory, where the need for time efficiency and integrated mass transportation to provide optimal services to customers. Trains in Indonesia generally use traditional signaling systems while currently, some countries have developed the use of modern communication-based train control (CBTC) Internet of Things (IoT) technology. The use of CBTC can be a solution to optimize train headway in Indonesia with the concept of communication carried out between trains and control stations to determine the position of the train so that the train can determine the optimal speed to reach the destination and create comfort as well as accidental safety. This study analyzes the use of the concept of communication-based train control to optimize the railroad track. The research was conducted by simulating using a miniature model train scale HO or 1:87. This research will be elaborated on the literature review, design and implementation, testing and analysis, conclusions from the train system simulator specifically the results of the use of MQTT in the railroad scheduling subsystem. The results of the study indicate that in the simulation the train headway had an average distance of 12.83cm.


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    Title :

    Communication-Based Train Control Simulator to Optimize Train Headway




    Publication date :

    2023-10-25


    Size :

    1096688 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English