The DOI displayed 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: 10.4121/19761784

Larsen, Rie (2022): Data underlying the PhD dissertation: Real-time Co-planning in Synchromodal Transport Networks using Model Predictive Control. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/19761784.v1

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Categories

• Transportation and Freight Services
• Other Engineering
• Environmentally Sustainable Transport
• Ground Transport
• Other Transport

Keywords

Co-planning Cooperation Integrated Planning Learning Cooperate Model Predictive Control Multi agent systems switched linear systems Synchromodal transport Synchromodal transport planning

Licence

CC BY 4.0

Interoperability

• RO-Crate Metadata

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by Rie Larsen

This dataset is a collection of the results and the data behind the figures displayed in the PhD dissertation `Real-time Co-planning in Synchromodal Transport Networks using Model Predictive Control'. The research presented in this dissertation provides insights into how container transport can realistically be planned at the operational level in real-time when several different stakeholders own the vehicles.

History

• 2022-05-13 first online, published, posted

Publisher

4TU.ResearchData

Format

zip-files containing matlab figures and .mat tables

Funding

• Complexity Methods for Predictive Synchromodality (Comet-PS) (grant code 439.16.120) [more info...] Dutch Research Council

Organizations

TU Delft, Faculty of Mechanical, Maritime and Materials Engineering (3mE), Department of Maritime and Transport Technology (M&TT)