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.

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

Passacantando M.;
2021-01-01

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.
2021
Passacantando, M.; Raciti, Fabio
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11568/1117546
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