Efficiency and Vulnerability Analysis for Congested Networks with Random Data

被引：5

作者：

Jadamba, Baasansuren ^{[2
]}

Pappalardo, Massimo ^{[3
]}

Raciti, Fabio ^{[1
]}

机构：

[1] Univ Catania, Dipartimento Matemat & Informat, Viale A Doria 6, I-95125 Catania, Italy

[2] Rochester Inst Technol, Ctr Appl & Computat Math, Rochester, NY 14623 USA

[3] Univ Pisa, Dipartimento Informat, Pisa, Italy

来源：

JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS | 2018年 / 177卷 / 02期

关键词：

Transportation networks; Network efficiency; Braess' paradox; Stochastic variational inequalities; RANDOM VARIATIONAL-INEQUALITIES; TRAFFIC EQUILIBRIUM PROBLEM; EXISTENCE; ALGORITHM; MONOTONE; GAMES; SETS;

D O I：

10.1007/s10957-018-1264-y

中图分类号：

C93 [管理学]; O22 [运筹学];

学科分类号：

070105 ; 12 ; 1201 ; 1202 ; 120202 ;

摘要：

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.

引用

页码：563 / 583

页数：21

共 21 条

[1]

Agdeppa RP, 2010, PAC J OPTIM, V6, P3

[2]

Braess D., 1968, Unternehmensforschung, V12, P258, DOI DOI 10.1007/BF01918335

[3] Robust solution of monotone stochastic linear complementarity problems [J].