NDLI: Cascading failures in multiple infrastructures: From transportation to communication network

Content Provider	IEEE Xplore Digital Library
Author	Barrett, C. Beckman, R. Channakeshava, K. Fei Huang Kumar, V.S.A. Marathe, A. Marathe, M.V. Guanhong Pei
Copyright Year	2010
Description	Author affiliation: Network Dynamics and Simulation Science Laboratory, Virginia Bioinformatics Institute, Virginia Tech, Blacksburg, 24061, USA (Barrett, C.; Beckman, R.; Channakeshava, K.; Fei Huang; Kumar, V.S.A.; Marathe, A.; Marathe, M.V.; Guanhong Pei)
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.
Starting Page	1
Ending Page	8
File Size	1434664
Page Count	8
File Format	PDF
ISBN	9781424480807
e-ISBN	9781424480814
DOI	10.1109/CRIS.2010.5617569
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-09-20
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Adaptation model Transportation Mobile communication Time frequency analysis Mobile handsets Data models Load modeling
Content Type	Text
Resource Type	Article

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