Light Contraction Hierarchies: Hierarchical Search Without Shortcuts

Claudius Proissl
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Abstract

Hierarchical search such as Contraction Hierarchies is a popular and successful branch of optimization techniques for shortest path computation. Existing hierarchical techniques have one component in common: they add edges to the graph, so called shortcuts. This component usually causes a considerable space overhead but is mandatory in order to preserve correctness. In this work we show a hierarchical method that requires to store only one additional number per node and no shortcuts at all. We prove the correctness of our method and experimentally show that it improves query times by one order of magnitude compared to Dijkstra's bidirectional algorithm.
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轻收缩层次:没有快捷键的层次搜索
层次搜索(如收缩层次)是最短路径计算优化技术的一个流行且成功的分支。现有的分层技术有一个共同点:它们给图添加边,也就是所谓的捷径。该组件通常会导致相当大的空间开销,但为了保持正确性,它是必需的。在这项工作中,我们展示了一个分层方法,每个节点只需要存储一个额外的数字,根本没有快捷方式。我们证明了我们的方法的正确性,并通过实验表明,与Dijkstra的双向算法相比,它将查询时间提高了一个数量级。
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