cff-version: 1.2.0
abstract: "<p>Source code for the implementation and simulation of a learning-based ramp metering control strategy with the goal of improving highway traffic flow management, where the proposed solution embeds model-based Reinforcement Learning methodologies in a Model Predictive Control framework, thus enabling the adaptation of the controller in order to improve automatically its performance based solely on observed closed-loop data. Simulations on a highway network benchmark demonstrate significant reduction in congestion and improved constraint satisfaction compared to an imprecise, non-learning initial controller, showcasing the efficacy of the proposed methodology.</p>"
authors:
  - family-names: Airaldi
    given-names: Filippo
    orcid: "https://orcid.org/0000-0001-6595-2932"
title: "Source code for the publication: Reinforcement Learning with Model Predictive Control for Highway Ramp Metering"
keywords:
version: 2
identifiers:
  - type: doi
    value: 10.4121/d5074606-82f4-40e9-93cd-cf27f22e501d.v2
license: GPL-3.0
date-released: 2024-10-23