Robust Routing Using Electrical Flows

A. Sinop, Lisa Fawcett, Sreenivas Gollapudi, Kostas Kollias
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引用次数: 4

Abstract

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 address the latter in this paper. The main techniques that produce alternative routes in road networks 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. In this work we propose a novel method to produce alternative routes that is fundamentally different from the aforementioned approaches. Our algorithm borrows concepts from electrical flows and their decompositions. 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.
使用电流的鲁棒路由
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。我们在本文中讨论后者。在道路网络中产生替代路线的主要技术是惩罚法和高原法,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。在这项工作中,我们提出了一种新的方法来产生与上述方法根本不同的替代路线。我们的算法借鉴了电流及其分解的概念。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)。
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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