We consider a congested traffic network where users behave according to the Wardrop equilibrium principle, but the data are uncertain and only known through their probability distributions. Within this framework, we propose a stochastic equilibrium model to analyse the network performance, which allows for nonlinear cost functions. The effectiveness of our approach is shown through numerical experiments on medium-size networks.

Passacantando, M., Raciti, F. (2022). A performance measure analysis for traffic networks with random data and general monotone cost functions. OPTIMIZATION, 71(8), 2375-2401 [10.1080/02331934.2021.1910693].

A performance measure analysis for traffic networks with random data and general monotone cost functions

Passacantando, M;
2022

Abstract

We consider a congested traffic network where users behave according to the Wardrop equilibrium principle, but the data are uncertain and only known through their probability distributions. Within this framework, we propose a stochastic equilibrium model to analyse the network performance, which allows for nonlinear cost functions. The effectiveness of our approach is shown through numerical experiments on medium-size networks.
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Articolo in rivista - Articolo scientifico
Scientifica
47B80; 47H05; 49J40; performance measure; random data; stochastic variational inequality; Wardrop equilibrium;
English
2375
2401
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Passacantando, M., Raciti, F. (2022). A performance measure analysis for traffic networks with random data and general monotone cost functions. OPTIMIZATION, 71(8), 2375-2401 [10.1080/02331934.2021.1910693].
Passacantando, M; Raciti, F
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/10281/391582
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