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A Simulation-Based Dynamic Programming Method for Interchange Scheduling of Port Collecting and Distributing Network

机译:港口集散网络交换调度的基于仿真的动态规划方法

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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. Due to the growing demand for port freight transportation, congestion in PCDN is becoming one of the inevitable problems that need to be solved. This paper addresses the best interchange scheduling multistage decision problem in PCDN at a network level. The main challenges are how to estimate the delay time and cope with high uncertainties in port network and PCDN. Therefore, a simulation-based dynamic programming (DP) model is proposed with the purpose of minimizing total cost in lifetime period by combining a DP model and two nested simulation models together. Two simulation models are built to figure out the delay cost in the optimization model, which cannot be calculated by mathematical analysis due to complex vehicle travel patterns and irregular traffic volume caused by random events, such as the arrival pattern of ships’, natural conditions, and storage period of cargos. Finally, a real project in northern China is presented as a case study. The proposed method can be applied in similar cases and can help solve analogous complicated multistage problems.
机译:自1924年在大连港的PCDN中建立了第一个交汇处以来,作为减少拥堵的有效方法之一,已将平交路口更改为许多中国港口的港口集散网络(PCDN)中的交汇处。随着港口货运需求的不断增长,PCDN的拥堵正成为需要解决的不可避免的问题之一。本文在网络级别解决PCDN中最佳的交换调度多阶段决策问题。主要挑战是如何估计延迟时间并应对端口网络和PCDN中的高度不确定性。因此,提出了一种基于仿真的动态规划(DP)模型,其目的是通过将DP模型和两个嵌套的仿真模型组合在一起,从而使生命周期内的总成本最小化。建立了两个仿真模型来计算优化模型中的延迟成本,由于复杂的车辆行驶模式和随机事件(如船舶的到达模式,自然条件,和货物的存放期。最后,以案例研究的形式介绍了中国北方的一个真实项目。所提出的方法可以在类似的情况下应用,并且可以帮助解决类似的复杂多级问题。

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