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Efficiency and Vulnerability Analysis for Congested Networks with Random Data

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In this note, we combine two theories that have been proposed in the last decade: the theory of vulnerability and efficiency of a congested network, and the theory of stochastic… Click to show full abstract

In this note, we combine two theories that have been proposed in the last decade: the theory of vulnerability and efficiency of a congested network, and the theory of stochastic variational inequalities. As a result, we propose a model that describes the performance and vulnerability of a congested network with random traffic demands and where the travel time can be affected by uncertainty. As an application, we investigate in detail the famous Braess’ network.

Keywords: vulnerability analysis; analysis congested; congested networks; efficiency vulnerability; vulnerability; networks random

Journal Title: Journal of Optimization Theory and Applications
Year Published: 2018

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