A model predictive scheduling strategy for coordinated inland vessel navigation and bridge operation

Conference Paper (2023)
Author(s)

P. Segovia Castillo (TU Delft - Mechanical Engineering)

Vicenc Puig (Universitat Politécnica de Catalunya)

Vasso Reppa (TU Delft - Mechanical Engineering)

Research Group
Transport Engineering and Logistics
DOI related publication
https://doi.org/10.1109/CCTA54093.2023.10252942 Final published version
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Publication Year
2023
Language
English
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.
Pages (from-to)
847-852
Publisher
IEEE
ISBN (electronic)
979-8-3503-3544-6
Event
2023 IEEE Conference on Control Technology and Applications, CCTA 2023 (2023-08-16 - 2023-08-18), Bridgetown, Barbados
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Abstract

This paper presents the design of a model predictive scheduling strategy to address the inland waterborne transport (IWT) problem considering bridges that must open to enable vessel passage. The main contribution is the formulation of a control-oriented model of the problem, including propositional logic expressions that characterize system behavior and their conversion into (in)equality constraints. The resulting model is embedded into a predictive scheduling approach to determine bridge opening timetables and vessel passage times in a coordinated manner. The effectiveness of the strategy is demonstrated on a realistic case study based on the Rhine-Alpine corridor.

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