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Dynamic Time Estimation Based AGV Dispatching Algorithm in Automated Container Terminal

机译:基于动态时间估计的自动集装箱码头AGV调度算法

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Automated Container Terminal (ACT) is a significant part of modern international logistics. Automated Guided Vehicles (AGV) are expected to be widely applied in ACT. We summarize the existing work on AGV dispatching and notice that AGV dispatching is commonly based on static distance. However, the estimation of congestion time is often neglected. In this paper, we build a simulation model of AGV transportation system on the basis of AnyLogic software. We propose a dynamic time estimation based AGV dispatching algorithm, and utilize the simulation model to evaluate the performance of the algorithm. Compared with static algorithms, the dynamic time estimation based AGV dispatching algorithm is able to decrease the start-stop frequency and reduce the congestion of road network. Simulation results prove that the dynamic time estimation based AGV dispatching algorithm can effectively enhance the utilization rate of QCs and YCs, and shorten the task finishing time.
机译:自动化集装箱码头(ACT)是现代国际物流的重要组成部分。无人驾驶汽车(AGV)有望在ACT中得到广泛应用。我们总结了有关AGV调度的现有工作,并注意到AGV调度通常基于静态距离。但是,拥塞时间的估计通常被忽略。在本文中,我们基于AnyLogic软件建立了AGV运输系统的仿真模型。我们提出了一种基于动态时间估计的AGV调度算法,并利用仿真模型来评估算法的性能。与静态算法相比,基于动态时间估计的AGV调度算法能够降低起停频率,减少路网拥堵。仿真结果表明,基于动态时间估计的AGV调度算法可以有效提高QC和YC的利用率,并缩短任务完成时间。

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