Efficiency and vulnerability analysis for congested networks with random data

DOI10.1007/s10957-018-1264-yzbMath1400.49007OpenAlexW2792246023MaRDI QIDQ725887

Baasansuren Jadamba, Fabio Raciti, Massimo Pappalardo

Publication date: 2 August 2018

Published in: Journal of Optimization Theory and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10957-018-1264-y

zbMATH Keywords

transportation networksstochastic variational inequalitiesnetwork efficiencyBraess' paradox

Mathematics Subject Classification ID

Variational inequalities (49J40) Monotone operators and generalizations (47H05) Random linear operators (47B80) Large-scale systems (93A15) Other classical set theory (including functions, relations, and set algebra) (03E20) Existence of optimal solutions to problems involving randomness (49J55)

Related Items (5)

A performance measure analysis for traffic networks with random data and general monotone cost functions ⋮ On the approximation of monotone variational inequalities in \(L^P\) spaces with probability measure ⋮ Optimal road maintenance investment in traffic networks with random demands ⋮ Optimal improvement of communication network congestion via nonlinear programming with generalized Nash equilibrium constraints ⋮ Congestion control and optimal maintenance of communication networks with stochastic cost functions: a variational formulation

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