The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/01abfa40-d446-45d9-8361-1c4d60280e05

Fan, Qiaochu; van Essen, J. Theresia; Homem de Almeida Correia, Gonçalo (2024): 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. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/01abfa40-d446-45d9-8361-1c4d60280e05.v1

Dataset

• Ground Transport
• Transport

approximated mixed equilibrium, automated taxis, AVs-only zone, fleet sizing, ride-hailing

CC0

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by Qiaochu Fan , J. Theresia van Essen , Gonçalo Homem de Almeida Correia

This dataset supports the research project titled "A Bi-Level Framework for Heterogeneous Fleet Sizing of Ride-Hailing Services Considering an Approximated Mixed Equilibrium Between Automated and Non-Automated Traffic." 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.

Contents of the Dataset

This dataset includes:

• Delft network and mobility data.
• Toy network and mobility data.
• Experimental results.

• 2024-12-09 first online, published, posted

4TU.ResearchData

*.xlsx

A Bi-Level Framework for Heterogeneous Fleet Sizing of Ride-Hailing Services Considering an Approximated Mixed Equilibrium Between Automated and Non-Automated Traffic

TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science, Delft Institute of Applied Mathematics
TU Delft, Faculty of Civil Engineering and Geosciences, Department of Transport and Planning