Develops a real-time system to measure train congestion in urban rail, aiming to enhance safety and efficiency.
Urban railways provide high punctuality and large passenger capacity as a key means of public transportation. However, congestion tends to be concentrated on certain lines and sections, especially during morning and evening rush hour, which poses a safety risk beyond simple inconvenience. So this study introduce to develop a system that estimates train congestion using load and stress data measured by electric trains, and transmits data over commercial wireless and urban rail closed wired networks to display information in real-time on central control centers and station platforms. In addition, this study aims to verify the reliability of displayed congestion information. By implementing a real-time congestion transmission-display system based on load and stress sensors, this study can be applied to the revised railway safety management regulations and provide passengers with a safer and more efficient boarding environment on urban railways.
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Won et al. (2026) studied this question.
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