As one of the most important public transportation, urban rail transit bears great operational pressure and relies completely on a signalling system to maintain its safety and efficiency. Once the signalling system fails, the assurance of safety and operational efficiency will be affected, and it is required to switch to manual driving mode under reduced train speed.
Today’s rapid technical development on artificial intelligence, sensor, and autonomous driving provides us with a feasible solution to overcome this challenge. By using Train Intelligent Detection System (TIDS), we can detect any abnormal obstacles during operation, and lead the driver to take emergency actions.
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