使用电流的鲁棒路由

IF 1.2 Q4 REMOTE SENSING ACM Transactions on Spatial Algorithms and Systems Pub Date : 2022-10-11 DOI:10.1145/3567421
A. Sinop, Lisa Fawcett, Sreenivas Gollapudi, Kostas Kollias
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引用次数: 0

摘要

在道路网络中生成替代路线是在线导航系统的一个重要应用。一组高质量的不同备选路由提供了两个功能:A)支持用户可能拥有的多个(未知)偏好;b)对网络条件的变化具有鲁棒性。在本文中,我们对后者进行了新的量化,并提出了一种基于电流及其分解的概念产生替代路径的新方法。我们的方法从根本上不同于在道路网络中产生替代路线的主要技术,即惩罚法和平台法,前者提供高质量的结果,但在实际使用中速度太慢,后者速度快,但在质量方面受到影响。我们对比惩罚方法和平台方法对我们的方法进行了评估,表明它与平台方法一样快,同时也恢复了惩罚方法质量的大部分空间。我们用来评估性能的指标包括诱导路由集的拉伸(路由的平均成本)、多样性和鲁棒性(起点和目的地之间的连通性)。
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Robust Routing Using Electrical Flows
Generating alternative routes in road networks is an application of significant interest for online navigation systems. A high quality set of diverse alternate routes offers two functionalities - a) support multiple (unknown) preferences that the user may have; and b) robust to changes in network conditions. We formulate a new quantification of the latter in this paper, and propose a novel method to produce alternative routes based on concepts from electrical flows and their decompositions. Our method is fundamentally different from the main techniques that produce alternative routes in road networks, which are the penalty and the plateau methods, with the former providing high quality results but being too slow for practical use and the latter being fast but suffering in terms of quality. We evaluate our method against the penalty and plateau methods, showing that it is as fast as the plateau method while also recovering much of the headroom towards the quality of the penalty method. The metrics we use to evaluate performance include the stretch (the average cost of the routes), the diversity, and the robustness (the connectivity between the origin and destination) of the induced set of routes.
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来源期刊
CiteScore
4.40
自引率
5.30%
发文量
43
期刊介绍: ACM Transactions on Spatial Algorithms and Systems (TSAS) is a scholarly journal that publishes the highest quality papers on all aspects of spatial algorithms and systems and closely related disciplines. It has a multi-disciplinary perspective in that it spans a large number of areas where spatial data is manipulated or visualized (regardless of how it is specified - i.e., geometrically or textually) such as geography, geographic information systems (GIS), geospatial and spatiotemporal databases, spatial and metric indexing, location-based services, web-based spatial applications, geographic information retrieval (GIR), spatial reasoning and mining, security and privacy, as well as the related visual computing areas of computer graphics, computer vision, geometric modeling, and visualization where the spatial, geospatial, and spatiotemporal data is central.
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