A dynamic shipment matching problem in hinterland synchromodal transportation

Journal Article (2020)
Author(s)

Wenjing Guo (TU Delft - Support Marine and Transport Techology)

Bilge Atasoy (TU Delft - Transport Engineering and Logistics)

Wouter W A van Blokland (TU Delft - Transport Engineering and Logistics)

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

Research Group
Transport Engineering and Logistics
Copyright
© 2020 W. Guo, B. Atasoy, W.W.A. Beelaerts van Blokland, R.R. Negenborn
DOI related publication
https://doi.org/10.1016/j.dss.2020.113289
More Info
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Publication Year
2020
Language
English
Copyright
© 2020 W. Guo, B. Atasoy, W.W.A. Beelaerts van Blokland, R.R. Negenborn
Research Group
Transport Engineering and Logistics
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.@en
Volume number
134
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Abstract

Hinterland intermodal transportation is the movement of containers between deep-sea ports and inland terminals by using trucks, trains, barges, or any combination of them. Synchromodal transportation, as an extension of intermodal transportation, refers to transport systems with dynamic updating of plans by incorporating real-time information. The trend towards spot markets and digitalization in hinterland intermodal transportation gives rise to online synchromodal transportation problems. This paper investigates a dynamic shipment matching problem in which a centralized platform provides online matches between shipment requests and transport services. We propose a rolling horizon approach to handle newly arrived shipment requests and develop a heuristic algorithm to generate timely solutions at each decision epoch. The experiment results demonstrate the solution accuracy and computational efficiency of the heuristic algorithm in comparison to an exact algorithm. The proposed rolling horizon approach outperforms a greedy approach from practice in total costs under various scenarios of the system.

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