Centralized Operational Strategy for Container Transport in a Synchromodal Transport System

Master Thesis (2021)
Author(s)

V.G. Koev (TU Delft - Civil Engineering & Geosciences)

Contributor(s)

R. Negenborn – Mentor (TU Delft - Transport Engineering and Logistics)

B. Atasoy – Graduation committee member (TU Delft - Transport Engineering and Logistics)

Mark B. Duinkerken – Graduation committee member (TU Delft - Transport Engineering and Logistics)

A.J. van Binsbergen – Graduation committee member (TU Delft - Transport and Planning)

R.B. Larsen – Graduation committee member (TU Delft - Transport Engineering and Logistics)

Faculty
Civil Engineering & Geosciences
Copyright
© 2021 Vladimir Koev
More Info
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Publication Year
2021
Language
English
Copyright
© 2021 Vladimir Koev
Graduation Date
13-07-2021
Awarding Institution
Delft University of Technology
Project
['NWO project “Complexity Methods for Predictive Synchromodality (Comet -PS)”', '439.16.120']
Programme
['Transport, Infrastructure and Logistics']
Faculty
Civil Engineering & Geosciences
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Abstract

In time of fast globalization and urbanization, the volumes of transported containers have significantly increased in the last decades. The challenges of operating with high volumes of containers have propagated from the deep-sea terminals into the hinterland network resulting in extensive use of road transportation, long waiting times and high carbon emissions. Synchromodal transport has addressed these challenges by promoting integration of services and real-time decisioning to increase the overall flexibility of the system. However, little is known about the effects of applying flexible concepts on operational planning decisions and whether these decisions have reflection on the performance of the system when centrally taken. This paper proposes a research for a design of an operational strategy which supports operational decisions on container routing and mode choice among trucks and barges. Model Predictive Control planning approach is applied to optimize the simultaneous routing of containers, trucks, and barges. The effectiveness the proposed strategy is evaluated in the presences of increased container volumes and compared to a Benchmark strategy by the means of simulation experiments. The impact of implementing flexible decisions on system performance and realized operational costs is investigated.

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