Data underlying the publication: Optimising fleet sizing and management of shared automated vehicle (SAV) services: A mixed-integer programming approach integrating endogenous demand, congestion effects, and accept/reject mechanism impacts

doi:10.4121/cf19bfc7-d032-47f6-9828-fe20f8f38f96.v1
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/cf19bfc7-d032-47f6-9828-fe20f8f38f96
Datacite citation style:
Fan, Qiaochu; van Essen, J. Theresia; Homem de Almeida Correia, Gonçalo (2024): Data underlying the publication: Optimising fleet sizing and management of shared automated vehicle (SAV) services: A mixed-integer programming approach integrating endogenous demand, congestion effects, and accept/reject mechanism impacts. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/cf19bfc7-d032-47f6-9828-fe20f8f38f96.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset

This dataset supports the research project titled "Optimising Fleet Sizing and Management of Shared Automated Vehicle (SAV) Services: A Mixed-Integer Programming Approach Integrating Endogenous Demand, Congestion Effects, and Accept/Reject Mechanism Impacts." The study explores optimization strategies for fleet sizing and management of SAVs while accounting for endogenous demand, traffic congestion, and accept/reject mechanisms. The mixed-integer programming model integrates these elements to provide insights into fleet operations and system efficiency. 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.


This dataset includes:

  • Delft Network and Mobility Data.
  • Toy Network and Mobility Data.
  • Experimental Results.




history
  • 2024-12-09 first online, published, posted
publisher
4TU.ResearchData
format
*.xlsx
organizations
TU Delft, Faculty of Civil Engineering and Geosciences, Department of Transport and Planning
TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science, Delft Institute of Applied Mathematics

DATA

files (2)