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A control of collision and deadlock avoidance for automated guided vehicles with a fault-tolerance capability

机译:具有容错能力的自动引导车辆的防撞和避免死锁的控制

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摘要

Based on a novel discrete-event zone-control model, in our previous papers [1, 2], we presented a time-efficient traffic control for automated guided vehicle (AGV) systems to exclude inter-vehicle collisions and system deadlocks, together with a case study on container terminals. The traffic control allows each vehicle in an AGV system to freely choose its routes for any finite sequence of zone-to-zone transportation tasks and the routes can be constructed in an online fashion. In this paper, we extended our previous results with two practical goals: (1) to increase the utilization of the workspace area by reducing the minimally allowed area of each zone; (2) to avoid vehicle collisions and deadlocks with the occurrence of vehicle breakdowns. To achieve the first goal, we include one extra vehicle event that allows each vehicle to probe further ahead while it is moving on the guide-path. This leads to an extension of our previous discrete-event model and traffic control rules, which are presented in the first part of the paper. The second part of the paper concerns the second goal, for which an emergency traffic control scheme is designed as supplementary to the normal traffic control rules. As in our previous papers, the improved model and traffic control are applied to a simulation of quayside container transshipment at container terminals; our simulation results are compared with those from two interesting works in the literature.
机译:在我们之前的论文[1,2]中,基于一种新颖的离散事件区域控制模型,我们提出了一种自动导引车(AGV)系统的省时交通控制,以排除车辆之间的碰撞和系统死锁,以及集装箱码头的案例研究。交通控制允许AGV系统中的每辆车自由选择其路线以执行任何有限的区域间运输任务,并且可以在线方式构建路径。在本文中,我们将先前的结果扩展为两个实际目标:(1)通过减小每个区域的最小允许面积来增加工作区的利用率; (2)避免车辆发生碰撞和死锁而发生车辆故障。为了实现第一个目标,我们增加了一个额外的车辆事件,该事件使每辆车辆在引导路径上行驶时都能向前探查。这导致了我们先前的离散事件模型和流量控制规则的扩展,这些将在本文的第一部分中介绍。本文的第二部分涉及第二个目标,为此,设计了紧急交通控制方案,作为对正常交通控制规则的补充。与我们之前的论文一样,改进后的模型和交通控制被应用于模拟集装箱码头的码头集装箱转运。我们的仿真结果与文献中的两篇有趣的作品进行了比较。

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