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Autonomous port vehicles fleet management: analyzing the effect of GNSS limitations

机译:自动港车车队管理:分析GNSS限制的影响

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To accommodate the increasing intensity of port operations, the introduction of automated straddle carriers (ASCs) is considered an innovative direction in the management of ports. However, ASCs rely on satellite navigation systems for positioning, which is accompanied by limitations. The purpose of this paper is to present an algorithmic approach to fleet management, routing and collision avoidance and use the algorithm to study the effects of GNSS limitations to its results. The designed algorithm provides information on assignment, routing and speed profiles for the Automated Straddle Carriers with the purpose of avoiding collisions. Five different scenarios were simulated with experimental data. The results indicated that when noise is introduced to more than one places, then more time is necessary to complete the tasks. Finally, differences in the results may appear insignificant, however, in an automated environment they could increase the volatility and create cascading effects that increase the risk.
机译:为了适应港口运营的不断增长的强度,自动跨行载波(ASCS)的引入被认为是港口管理中的创新方向。但是,ASCS依赖于定位的卫星导航系统,伴随着局限性。本文的目的是提出一种批量管理,路由和碰撞避免,并使用该算法研究GNSS限制对其结果的影响。设计的算法提供有关自动跨跨载波的分配,路由和速度配置文件的信息,其目的是避免冲突。使用实验数据模拟五种不同的场景。结果表明,当噪声被引入多个地方时,需要更多的时间来完成任务。最后,结果的差异可能显得微不足道,然而,在自动化环境中,它们可以增加波动性并产生增加风险的级联效果。

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