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The Influence of the Motor Traction Vibration on Fatigue Life of the Bogie Frame of the Metro Vehicle
Published 2020-01-01Get full text
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A Real-Time Train Timetable Rescheduling Method Based on Deep Learning for Metro Systems Energy Optimization under Random Disturbances
Published 2020-01-01“…A well-trained decision network can provide effective solutions in real time after random disturbances occur, in order to optimize the net traction energy consumption of trains in metro systems. Based on the Shanghai Metro Line One (SML1) pilot network, this paper establishes a comprehensive model of the metro system as a training and testing environment to verify the energy-saving effect and real-time performance of the proposed method in solving the TTR problem. …”
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Development Modes of Typical Urban Rail Transit Interconnection in Foreign Cities and Implications
Published 2025-01-01Get full text
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