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Data underlying the PhD dissertation: Real-time Co-planning in Synchromodal Transport Networks using Model Predictive Control

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dataset
posted on 13.05.2022, 08:54 by Rie LarsenRie 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.


Funding

Complexity Methods for Predictive Synchromodality (Comet-PS)

Netherlands Organisation for Scientific Research

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History

Publisher

4TU.ResearchData

Format

zip-files containing matlab figures and .mat tables

Organizations

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