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    LSTM network traffic prediction and link congestion warning scheme for single port and single link by Wei HUANG, Cuncai LIU, Sibo QI

    Published 2019-12-01
    “…To predict the traffic at single port and single link,two network traffic prediction models based on long short-term memory neural network were proposed.The first model is for the traffic which changes smoothly at large time granularity.The second model is for the nonstationary traffic which fluctuates violently at small time granularity.By selecting different methods of splitting data and training models,two traffic prediction models with different neural network structures were constructed.The experimental results show that the former can achieve a very high accuracy when predicting smoothly changed traffic,the latter has a significantly better prediction effect than the support vector regression model and the back propagation neural network model when dealing with nonstationary traffic.Based on the second model,a link congestion warning scheme with variable parameters was proposed.The scheme is proved to be practicable by experiments.…”
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    Collaborative Transport Strategy for Dual AGVs in Smart Ports: Enhancing Docking Accuracy in No-Load Formations by Qiang Zhang, Wenfeng Li, Long Guo, Xiaohang Qi

    Published 2025-01-01
    “…To enhance the adaptability of automated guided vehicles (AGVs) in port operations, this paper proposes a novel collaborative transport strategy for dual AGVs. …”
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    A Simulation-Based Dynamic Programming Method for Interchange Scheduling of Port Collecting and Distributing Network by Yun Peng, Wenyuan Wang, Xinglu Xu, Modi Chen, Xiangqun Song, Xiangda Li

    Published 2018-01-01
    “…As one of the effective methods to reduce congestion, grade intersection has already been changed to interchange in port collecting and distributing network (PCDN) of many Chinese ports, since the first interchange was built in the PCDN of Dalian port in 1924. …”
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