arXiv subjects

Jorgelina Walpen

Publications and source records attributed to Jorgelina Walpen.

2 recordsLinked to original sources

arXiv2026

Learning from user's behaviour of some well-known congested traffic networks

The traffic assignment problem (TAP) aims to predict how traffic flows distribute themselves across a road network, traditionally requiring computationally expensive iterative simulations to reach a user equilibrium (UE) where no driver can unilaterally reduce their travel time. Recent developments in machine learning (ML), particularly Graph Neural Networks (GNNs) and hybrid approaches, aim to solve this faster while maintaining accuracy

math.OC↗

arXiv2018

The Demand Adjustment Problem via Inexact Restoration Method

In this work, the demand Adjustment Problem (DAP) associated to urban traffic planning is studied. The framework for the formulation of the DAP is mathematical programming with equilibrium constraints. In particular, if the optimization program associated to the equilibrium constraints is considered, the DAP results in a bilevel optimization problem. In this approach the DAP via the Inexact Restoration method is treated.

math.OC↗