k-Optimal meeting points based on preferred paths

E. Ahmadi, M. Nascimento
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引用次数: 9

Abstract

In this paper, we investigate a novel query type for road networks, namely the k-Optimal Meeting Points based on Preferred paths (k-OMP3) query. Consider a group of friends currently at different places, e.g., their offices. Before going to their respective homes, using their own preferred paths in the underlying road network, the group is willing to meet at a restaurant for dinner. A k-OMP3 query would return the k restaurants that would minimize the group detour distance. In this short paper we present a provably correct approach which exploits the geometric properties of the problem in order to reduce the query's processing time. Our experiments, using real and synthetic data sets, confirm the effectiveness and efficiency of such approach.
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基于优选路径的k-最优会合点
在本文中,我们研究了一种新的道路网络查询类型,即基于优选路径的k-最优相遇点(k-OMP3)查询。考虑一群朋友目前在不同的地方,例如,他们的办公室。在去各自的家之前,在底层道路网络中使用他们自己喜欢的路径,他们愿意在一家餐馆见面共进晚餐。一个k- omp3查询将返回k个能使团体绕行距离最小的餐馆。在这篇短文中,我们提出了一种可证明正确的方法,利用问题的几何性质来减少查询的处理时间。我们的实验,使用真实和合成的数据集,证实了这种方法的有效性和效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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