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Taxi, Please! A Nearest Neighbor Query in Time-Dependent Road Networks

机译:出租车,拜托!处于时间依赖的道路网络的最近邻居查询

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In this paper we propose a new kind of kNN query on time-dependent network, which aims at finding k points of interest that are closest in time to a query point. This query is useful for many kind of applications where a user/customer should ask for a service provided by many moving providers (e.g. Taxi drivers, ambulances, food delivers, etc). We described our solution and present experimental results comparing our proposed algorithm to a baseline approach. The experimental results show that our approach is efficient and effective.
机译:在本文中,我们向时间依赖网络提出了一种新的KNN查询,其旨在找到最接近查询点的K兴趣点。此查询对于许多用户/客户应要求许多移动提供商提供的服务(例如出租车司机,救护车,食物提供等)有用。我们描述了我们的解决方案和实验结果将我们所提出的算法与基线方法进行比较。实验结果表明,我们的方法是有效有效的。

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