Cascading failures in multiple infrastructures: From transportation to communication network

C. Barrett, R. Beckman, K. Channakeshava, Fei Huang, V. Kumar, A. Marathe, M. Marathe, Guanhong Pei
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引用次数: 52

Abstract

This research conducts a systematic study of human-initiated cascading failures in critical inter-dependent societal infrastructures. The focus is on three closely coupled systems: (i) cellular and mesh networks, (ii) transportation networks and (iii) social phone call networks. We analyze cascades that occur in inter-dependent infrastructures due to behavioral adaptations in response to a crisis. During crises, changes in individual behavioral lead to altered calling patterns and activities, which influence the urban transport network. This, in turn, affects the loads on wireless networks. The interaction between these systems and their co-evolution poses significant technical challenges for representing and reasoning about these systems. We develop interaction-based models in which individuals and infrastructure elements are placed in a common geographic coordinate system. The goal is to study the impact of a chemical plume in a densely populated urban region. Authorities order evacuation of the affected area which leads to change in people's activity patterns as they are forced to drive home or to evacuation shelters. They also use the wireless networks for coordination among family members and information sharing. These two behavioral adaptations, cause flash-congestion in the urban transport network and the wireless network. We analyze how extended periods of unanticipated road congestion can result in failure of infrastructures, starting with the servicing base stations in the congested area. Finally, we study the criticality and robustness of the various base stations and measure how congestion in the transportation network impacts communication infrastructure.
多基础设施中的级联故障:从运输到通信网络
本研究对关键相互依赖的社会基础设施中人为引发的级联故障进行了系统研究。重点是三个紧密耦合的系统:(一)蜂窝和网状网络;(二)运输网络;(三)社会电话网络。我们分析了由于应对危机的行为适应而发生在相互依赖的基础设施中的级联。在危机期间,个人行为的变化导致呼叫模式和活动的改变,从而影响城市交通网络。这反过来又会影响无线网络的负载。这些系统之间的相互作用及其共同演化为表示和推理这些系统提出了重大的技术挑战。我们开发了基于交互的模型,其中个人和基础设施元素被放置在一个公共的地理坐标系统中。目的是研究化学烟羽对人口稠密的城市地区的影响。当局下令疏散受影响地区,这导致人们的活动模式发生变化,因为他们被迫开车回家或前往疏散避难所。他们还利用无线网络进行家庭成员之间的协调和信息共享。这两种行为适应导致了城市交通网络和无线网络的短暂拥塞。我们分析了长时间的意外道路拥堵如何导致基础设施的故障,从拥堵地区的服务基站开始。最后,我们研究了各种基站的临界性和鲁棒性,并测量了交通网络中的拥塞对通信基础设施的影响。
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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