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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