cff-version: 1.2.0
abstract: "<p>This dataset supports the research project titled <em>"A Bi-Level Framework for Heterogeneous Fleet Sizing of Ride-Hailing Services Considering an Approximated Mixed Equilibrium Between Automated and Non-Automated Traffic."</em> The dataset focuses on optimizing fleet sizing in mixed-traffic environments and incorporates a bi-level modelling approach to analyze strategic and operational interactions between automated and non-automated vehicles. The original dataset for the Delft case study has been published and is accessible via the DOI: https://doi.org/10.13140/RG.2.2.11097.83043.</p><p><br></p><p>Contents of the Dataset</p><p>This dataset includes:</p><ul><li>Delft network and mobility data.</li><li>Toy network and mobility data.</li><li>Experimental results.</li></ul><p><br></p><p><br></p>"
authors:
  - family-names: Fan
    given-names: Qiaochu
    orcid: "https://orcid.org/0000-0002-1809-9454"
  - family-names: van Essen
    given-names: J. Theresia
    orcid: "https://orcid.org/0000-0002-9631-3612"
  - family-names: Homem de Almeida Correia
    given-names: Gonçalo
title: "Data underlying the publication: A bi-level framework for heterogeneous fleet sizing of ride-hailing services considering an approximated mixed equilibrium between automated and non-automated traffic"
keywords:
version: 1
identifiers:
  - type: doi
    value: 10.4121/01abfa40-d446-45d9-8361-1c4d60280e05.v1
license: CC0
date-released: 2024-12-09