Efficient one-click browsing of large trajectory sets

Benjamin B. Krogh, O. Andersen, Edwin Lewis-Kelham, K. Torp
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引用次数: 3

Abstract

Traffic researchers, planners, and analysts want a simple way to query the large quantities of GPS trajectories collected from vehicles. In addition, users expect the results to be presented immediately even when querying very large transportation networks with huge trajectory data sets. This paper presents a novel query type called sheaf, where users can browse trajectory data sets using a single mouse click. Sheaves are very versatile and can be used for location-based advertising, travel-time analysis, intersection analysis, and reachability analysis (isochrones). A novel in-memory trajectory index compresses the data by a factor of 12.4 and enables execution of sheaf queries in 40 ms. This is up to 2 orders of magnitude faster than existing work. We demonstrate the simplicity, versatility, and efficiency of sheaf queries using a real-world trajectory set consisting of 2.7 million trajectories (1.36 billion GPS records) and a network with 1.5 million edges.
高效的一键浏览大型轨迹集
交通研究人员、规划人员和分析人员希望有一种简单的方法来查询从车辆收集的大量GPS轨迹。此外,即使在查询具有巨大轨迹数据集的大型交通网络时,用户也希望结果能够立即呈现。本文提出了一种新的查询类型,称为轴,其中用户可以浏览轨迹数据集使用一个单一的鼠标点击。滑轮非常通用,可用于基于位置的广告、旅行时间分析、交叉分析和可达性分析(等时线)。一种新的内存轨迹索引将数据压缩了12.4倍,并能在40毫秒内执行堆查询。这比现有的工作快了两个数量级。我们使用一个包含270万条轨迹(13.6亿GPS记录)和一个包含150万条边的网络的真实轨迹集来演示束查询的简单性、多功能性和效率。
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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