Critical Infrastructure Integration Modeling and Simulation

Tolone, William J.; Wilson, David C.; Raja, Anita; Xiang, Wei-Ning; Hao, Hongxia; Phelps, Stuart; Johnson, E. Wray

doi:10.1007/978-3-540-25952-7_16

Cited by 36 publications

(15 citation statements)

References 7 publications

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“…Sophisticated modeling and simulation tools are vital to enable decision makers to predict, plan for and respond to complex critical infrastructure service outages [27,37]. However, modeling and simulation tools cannot function effectively without adequate, good-quality data.…”

Section: Discussionmentioning

confidence: 99%

Accuracy of Service Area Estimation Methods Used for Critical Infrastructure Recovery

Pala

Wilson

Bent

et al. 2014

Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

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Electric power, water, natural gas and other utilities are served to consumers via functional sources such as electric power substations, pumps and pipes. Understanding the impact of service outages is vital to decision making in response and recovery efforts. Often, data pertaining to the source-sink relationships between the service points and consumers is sensitive or proprietary, and is, therefore, unavailable to external entities. As a result, during emergencies, decision makers often rely on estimates of service areas produced by various methods. This paper, which focuses on electric power, assesses the accuracy of four methods for estimating power substation service areas, namely the standard and weighted versions of Thiessen polygon and cellular automata approaches. Substation locations and their power outputs are used as inputs to the service area calculation methods. Reference data is used to evaluate the accuracy in approximating a power distribution network in a mid-sized U.S. city. Service area estimation methods are surveyed and their performance is evaluated empirically. The results indicate that the performance of the approaches depends on the type of analysis employed. When the desired analysis includes aggregate economic or population predictions, the weighted version of the cellular automata approach has the best performance. However, when the desired analysis involves facility-specific predictions, the weighted Thiessen polygon approach tends to perform the best.

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Section: Discussionmentioning

confidence: 99%

Accuracy of Service Area Estimation Methods Used for Critical Infrastructure Recovery

Pala

Wilson

Bent

et al. 2014

Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

Self Cite

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“…As described by Tolone et al [6], cyber interdependencies are interdependencies related to the flow of information between infrastructures, essential for the control and stability of these infrastructure systems. However, our paper offers a different perspective on ICT infrastructures, representing the ICT infrastructure system as a sustainable city system and identifying ICT-related interdependencies.…”

Section: Background and Related Workmentioning

confidence: 99%

Complex Urban Systems ICT Infrastructure Modeling: A Sustainable City Case Study

Adepetu

Arnautovic²,

Svetinovic³

et al. 2014

IEEE Trans. Syst. Man Cybern, Syst.

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Abstract-A modern and efficient information and communication technology (ICT) infrastructure is essential for managing the challenges in the complex urban systems development. The ICT infrastructure is a complex system consisting of many subsystems and interconnections, which makes the process of planning, designing, and maintaining a comprehensive ICT infrastructure expensive and difficult. Most approaches used for the ICT infrastructure modeling focus typically on a single ICT system, for example, a wireless network. This paper presents a systems modeling approach based on integrating different subsystems and their characteristics into a single model, applying system decomposition, establishing the logical relations between system components, and defining relevant key performance indicators. It is shown that this systems modeling approach facilitates holistic planning, design, and evaluation of the complex ICT infrastructure for a sustainable city. This is demonstrated in the form of a two-scenario Masdar city case study. The case study exhibits the practicality of the derived ICT model and the feasibility of the results.Index Terms-Complex urban systems, information and communication technology (ICT) infrastructure, sustainable development, systems modeling.

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“…Critical infrastructure interdependencies have been researched in [4], [16], [17] and [21]. These works model the ripple effects of failures in interdependent systems howbeit with different approaches.…”

Section: Related Workmentioning

confidence: 99%

City.Net IES: A sustainability-oriented energy decision support system

Adepetu¹,

Grogan

Alfaris

et al. 2012

2012 IEEE International Systems Conference SysCon 2012

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Abstract-A city's energy system processes, as well as the interactions of the energy system with other systems in a city are imperative in creating a comprehensive energy decision support system due to the interdependencies between critical segments of the system. City.Net is a sustainability-oriented decision support system that represents the energy, water, waste, transportation and building systems in a city while taking into consideration the integration and interdependencies that exist between these systems. This paper, which is focused on the integrated energy infrastructure system of a sustainable city, builds on the previous work which employs hierarchical decomposition and multi-domain formulation for the design of complex sustainable systems. The City.Net energy system encompasses the generation, transmission, distribution and consumption of energy in different forms, in several domains and at diverse scales in a city. Also, the interactions of the energy system with other aforementioned systems are incorporated in City.Net. The result is a scalable and flexible energy decision support system which can be simulated and used as a sustainability-analysis tool, encompassing environmental, social and economic sustainability.

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Critical Infrastructure Integration Modeling and Simulation

Cited by 36 publications

References 7 publications

Accuracy of Service Area Estimation Methods Used for Critical Infrastructure Recovery

Accuracy of Service Area Estimation Methods Used for Critical Infrastructure Recovery

Complex Urban Systems ICT Infrastructure Modeling: A Sustainable City Case Study

City.Net IES: A sustainability-oriented energy decision support system

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