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Modified A-star algorithm for modular plant land transportation

机译:改进的A-Star算法用于模块化植物陆路运输

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Many common path optimization algorithms are available. However, problems arise when a general route optimization algorithm is applied to land transportation of large cargo, such as a modular plant. The large and heavy structure of a modular plant can lead to a loss of time depending on the curve of the road. This problem is more critical when traveling through large turns, which may also cause mechanical problems. Therefore, curves are essential parameters for modular plant land transportation. In this research, we show the importance of angles in the path via multi-body dynamic simulations and finite element analysis. Based on these results, we constructed a pathfinding algorithm that considers the importance of angles. The traditional A-star algorithm considers only distance as a cost, whereas our modified A-star algorithm considers both distance and angle as costs. Our goal is to improve traditional A-star algorithms and optimize them for modular plant land transportation.
机译:许多常见路径优化算法可用。 然而,当一般路线优化算法应用于大货物的陆路运输时出现的问题,例如模块化植物。 根据道路的曲线,模块化植物的大而重大结构可能导致时间损失。 通过大转动时,这个问题更为关键,这也可能导致机械问题。 因此,曲线是模块化植物陆路运输的必要参数。 在本研究中,我们展示了通过多体动态模拟和有限元分析在路径中的角度的重要性。 基于这些结果,我们构建了一种观察角度的重要性算法。 传统的A-Star算法仅考虑距离作为成本,而我们修改的A-Star算法将距离和角度视为成本。 我们的目标是改善传统的A-STAR算法,并优化它们进行模块化植物陆运。

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