%0 Generic
%A Fan, Qiaochu
%A van Essen, J. Theresia
%A Homem de Almeida Correia, Gonçalo
%D 2024
%T 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
%U 
%R 10.4121/01abfa40-d446-45d9-8361-1c4d60280e05.v1
%K fleet sizing
%K approximated mixed equilibrium
%K ride-hailing
%K AVs-only zone
%K automated taxis
%X <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>
%I 4TU.ResearchData