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: 10.4121/16638262

Los, Johan (2021): Figure data for the dissertation "Solving Large-Scale Dynamic Collaborative Vehicle Routing Problems - An Auction-Based Multi-Agent Approach". Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/16638262.v1

Dataset

• Transportation and Freight Services
• Other Information and Computing Sciences
• Ground Transport

collaborative transportation, Collaborative vehicle routing, dynamic fleet management, Dynamic pickup and delivery problem, logistics, multi-agent system, platform-based transportation

CC0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Johan Los

This data set contains the coordinates of the plots in the thesis "Solving Large-Scale Dynamic Collaborative Vehicle Routing Problems - An Auction-Based Multi-Agent Approach" by Johan Los. It represents the results of various computational experiments in collaborative vehicle routing that were conducted to investigate to what extent an auction-based multi-agent system can be applied to solve dynamic large-scale collaborative vehicle routing problems. The data set indicates, among others, the value of information sharing, the profits that can be obtained by cooperation under different circumstances, and the individual profits that can be obtained when strategic bidding is applied.

• 2021-10-05 first online, published, posted

4TU.ResearchData

.tex

Solving Large-Scale Dynamic Collaborative Vehicle Routing Problems - An Auction-Based Multi-Agent Approach

• NWO: 14894

Delft University of Technology, Faculty of Mechanical, Maritime and Materials Engineering, Department of Maritime and Transport Technology