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    Real-Time Optimization of Urban Rail Transit Train Scheduling via Advantage Actor–Critic Deep Reinforcement Learning 

    Source: Journal of Transportation Engineering, Part A: Systems:;2024:;Volume ( 150 ):;issue: 009:;page 04024046-1
    Author(s): Longhui Wen; Wei Zhou; Jiajun Liu; Gang Ren; Ning Zhang
    Publisher: American Society of Civil Engineers
    Abstract: Under the condition of urban rail transit uncertainty of passenger demand and the high frequency of departure intervals, this study presents an innovative real-time urban rail transit (URT) train service scheduling control ...
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