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Distance Oracles for Time-Dependent Networks

机译:随时间变化的网络的距离Oracle

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We present the first approximate distance oracle for sparse directed networks with time-dependent arc-travel-times determined by continuous, piecewise linear, positive functions possessing the FIFO property. Our approach precomputes (1 + ε)-approximate distance summaries from selected landmark vertices to all other vertices in the network, and provides two sublinear-time query algorithms that deliver constant and (1 + σ)-approximate shortest-travel-times, respectively, for arbitrary origin-destination pairs in the network. Our oracle is based only on the sparsity of the network, along with two quite natural assumptions about travel-time functions which allow the smooth transition towards asymmetric and time-dependent distance metrics.
机译:我们提出了稀疏有向网络的第一个近似距离预言,其时间依赖于弧旅行时间,该时间由具有FIFO属性的连续,分段线性正函数确定。我们的方法预先计算了从选定地标顶点到网络中所有其他顶点的(1 +ε)近似距离汇总,并提供了两种亚线性时间查询算法,分别提供了常数和(1 +σ)近似最短旅行时间。 ,用于网络中的任意起点-终点对。我们的预言仅基于网络的稀疏性,以及关于旅行时间函数的两个非常自然的假设,这些假设允许平稳地过渡到不对称且依赖于时间的距离度量。

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