Efficiency and Vulnerability Analysis for Congested Networks with Random Data

Baasansuren Jadamba (), Massimo Pappalardo () and Fabio Raciti ()
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Baasansuren Jadamba: Rochester Institute of Technology
Massimo Pappalardo: Università di Pisa
Fabio Raciti: Università di Catania

Journal of Optimization Theory and Applications, 2018, vol. 177, issue 2, No 13, 563-583

Abstract: 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: Transportation networks; Network efficiency; Braess’ paradox; Stochastic variational inequalities; 49J40; 47B80; 47H05 (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (1)

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DOI: 10.1007/s10957-018-1264-y

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